FineEnvs/LFM2.5-2.6B-opencode-SFT
zetlyn/models-hf model hf FineEnvs/LFM2.5-2.6B-opencode-SFT known 2026-10-01
https://huggingface.co/FineEnvs/LFM2.5-2.6B-opencode-SFT
Properties
| author | FineEnvsreceipt
What the source handed over{
"_asked": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"_id": "6abdff36ca63fede259141a1",
"author": "FineEnvs",
"cardData": {
"base_model": "LiquidAI/LFM2.5-2.6B",
"base_model_relation": "finetune",
"datasets": [
"FineEnvs/SmolDataEnvs-multiharness-sft"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_link": "LICENSE",
"license_name": "lfm1.0",
"model-index": [
{
"name": "LFM2.5-2.6B-opencode-SFT (main, step 1208)",
"results": [
{
"dataset": {
"args": {
"harness": "all four"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Overall",
"type": "pass_at_1",
"value": 47.5,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "opencode"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — OpenCode",
"type": "pass_at_1",
"value": 51.6,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "claude-code"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Claude Code",
"type": "pass_at_1",
"value": 33.2,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "codex"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Codex",
"type": "pass_at_1",
"value": 46.4,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "mini-swe-agent"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Mini-SWE-Agent",
"type": "pass_at_1",
"value": 58.8,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
}
]
}
],
"pipeline_tag": "text-generation",
"tags": [
"trl",
"openenv",
"harbor",
"agent",
"smoldataenvs",
"sft",
"opencode"
],
"thumbnail": "https://huggingface.co/spaces/AdithyaSK/multi-harness-rl/resolve/main/app/public/og/og-image.png"
},
"config": {
"architectures": [
"Lfm2ForCausalLM"
],
"chat_template_jinja": "{{- bos_token -}}\n{%- set preserve_thinking = preserve_thinking | default(false) -%}\n\n{%- macro format_arg_value(arg_value) -%}\n {%- if arg_value is string -%}\n {{- \"'\" + (arg_value | replace(\"\\\\\", \"\\\\\\\\\") | replace(\"'\", \"\\\\'\") | replace(\"\\n\", \"\\\\n\") | replace(\"\\r\", \"\\\\r\")) + \"'\" -}}\n {%- elif arg_value is mapping or arg_value is iterable -%}\n {{- arg_value | tojson -}}\n {%- else -%}\n {{- arg_value | string -}}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro parse_content(content) -%}\n {%- if content is string -%}\n {{- content -}}\n {%- elif content is mapping -%}\n {{- content | tojson -}}\n {%- elif content is iterable -%}\n {%- set _ns = namespace(result=\"\") -%}\n {%- for item in content -%}\n {%- if item is string -%}\n {%- set _ns.result = _ns.result + item -%}\n {%- elif item is mapping and item.get(\"type\") == \"image\" -%}\n {%- set _ns.result = _ns.result + \"<image>\" -%}\n {%- elif item is mapping and item.get(\"type\") == \"text\" -%}\n {%- set _ns.result = _ns.result + ((item.get(\"text\") or \"\") | string) -%}\n {%- else -%}\n {%- set _ns.result = _ns.result + (item | tojson) -%}\n {%- endif -%}\n {%- endfor -%}\n {{- _ns.result -}}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro render_tool_calls(tool_calls) -%}\n {%- set tool_calls_ns = namespace(tool_calls=[]) -%}\n {%- for tool_call in tool_calls -%}\n {%- set func = tool_call[\"function\"] if \"function\" in tool_call else tool_call -%}\n {%- set func_name = func[\"name\"] -%}\n {%- set func_args = func.get(\"arguments\") -%}\n {%- set args_ns = namespace(arg_strings=[]) -%}\n {%- if func_args is mapping -%}\n {%- for arg_name, arg_value in func_args.items() -%}\n {%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + \"=\" + format_arg_value(arg_value)] -%}\n {%- endfor -%}\n {%- elif func_args is string and (func_args | trim) not in [\"\", \"{}\", \"null\"] -%}\n {{- raise_exception(\"Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template\") -}}\n {%- endif -%}\n {%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + \"(\" + (args_ns.arg_strings | join(\", \")) + \")\"] -%}\n {%- endfor -%}\n {{- \"<|tool_call_start|>[\" + (tool_calls_ns.tool_calls | join(\", \")) + \"]<|tool_call_end|>\" -}}\n{%- endmacro -%}\n\n{%- set ns = namespace(system_prompt=\"\", last_user_index=-1) -%}\n{%- if messages and messages[0][\"role\"] == \"system\" -%}\n {%- if messages[0].get(\"content\") -%}\n {%- set ns.system_prompt = parse_content(messages[0][\"content\"]) -%}\n {%- endif -%}\n {%- set messages = messages[1:] -%}\n{%- endif -%}\n{%- if tools -%}\n {%- set ns.system_prompt = ns.system_prompt + (\"\\n\" if ns.system_prompt else \"\") + \"List of tools: [\" -%}\n {%- for tool in tools -%}\n {%- if tool is not string -%}\n {%- set tool = tool | tojson -%}\n {%- endif -%}\n {%- set ns.system_prompt = ns.system_prompt + tool -%}\n {%- if not loop.last -%}\n {%- set ns.system_prompt = ns.system_prompt + \", \" -%}\n {%- endif -%}\n {%- endfor -%}\n {%- set ns.system_prompt = ns.system_prompt + \"]\" -%}\n{%- endif -%}\n{%- if ns.system_prompt -%}\n {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\n{%- endif -%}\n{%- for message in messages -%}\n {%- if message[\"role\"] == \"user\" -%}\n {%- set ns.last_user_index = loop.index0 -%}\n {%- endif -%}\n{%- endfor -%}\n{%- for message in messages -%}\n {{- \"<|im_start|>\" + message.role + \"\\n\" -}}\n {%- if message.role == \"assistant\" -%}\n {%- generation -%}\n {%- set keep_thinking = preserve_thinking or loop.index0 > ns.last_user_index -%}\n {%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%}\n {%- set thinking = thinking if thinking is string else \"\" -%}\n {%- if thinking and keep_thinking -%}\n {{- \"<think>\" + thinking + \"</think>\" -}}\n {%- endif -%}\n {%- set _cfm_tag = \"CONTINUE_FINAL_MESSAGE_TAG \" -%}\n {%- set _has_cfm = false -%}\n {%- set content = \"\" -%}\n {%- if message.get(\"content\") -%}\n {%- set content = parse_content(message.content) -%}\n {%- endif -%}\n {%- if not keep_thinking and \"</think>\" in content -%}\n {%- set content = content.split(\"</think>\")[-1] | trim -%}\n {%- endif -%}\n {%- if content.endswith(_cfm_tag) -%}\n {%- set _has_cfm = true -%}\n {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}\n {%- set content = content[:_trunc_len] -%}\n {%- endif -%}\n {{- content -}}\n {%- if message.tool_calls -%}\n {{- render_tool_calls(message.tool_calls) -}}\n {%- endif -%}\n {%- if _has_cfm -%}\n {{- _cfm_tag -}}\n {%- endif -%}\n {{- \"<|im_end|>\\n\" -}}\n {%- endgeneration -%}\n {%- else %}\n {%- if message.get(\"content\") -%}\n {{- parse_content(message[\"content\"]) -}}\n {%- endif -%}\n {{- \"<|im_end|>\\n\" -}}\n {%- endif %}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{- \"<|im_start|>assistant\\n<think>\" -}}\n{%- endif -%}\n",
"model_type": "lfm2",
"tokenizer_config": {
"bos_token": "<|startoftext|>",
"eos_token": "<|im_end|>",
"pad_token": "<|pad|>",
"use_default_system_prompt": false
}
},
"createdAt": "2026-10-01T06:35:34.000Z",
"disabled": false,
"downloads": 250,
"gated": false,
"id": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"lastModified": "2026-10-01T07:16:22.000Z",
"library_name": "transformers",
"likes": 1,
"model-index": [
{
"name": "LFM2.5-2.6B-opencode-SFT (main, step 1208)",
"results": [
{
"dataset": {
"args": {
"harness": "all four"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Overall",
"type": "pass_at_1",
"value": 47.5,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "opencode"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — OpenCode",
"type": "pass_at_1",
"value": 51.6,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "claude-code"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Claude Code",
"type": "pass_at_1",
"value": 33.2,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "codex"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Codex",
"type": "pass_at_1",
"value": 46.4,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "mini-swe-agent"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Mini-SWE-Agent",
"type": "pass_at_1",
"value": 58.8,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
}
]
}
],
"modelId": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 2697198592
},
"total": 2697198592
},
"sha": "fee36335415894ce8222526d4784152bd5684687",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "LICENSE"
},
{
"rfilename": "NOTICE"
},
{
"rfilename": "README.md"
},
{
"rfilename": "assets/curves.gif"
},
{
"rfilename": "assets/curves.json"
},
{
"rfilename": "assets/curves.png"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "eval_results.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "release_manifest.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"trl",
"openenv",
"harbor",
"agent",
"smoldataenvs",
"sft",
"opencode",
"conversational",
"en",
"dataset:FineEnvs/SmolDataEnvs-multiharness-sft",
"base_model:LiquidAI/LFM2.5-2.6B",
"base_model:finetune:LiquidAI/LFM2.5-2.6B",
"license:other",
"model-index",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 5418341730,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} |
|---|---|
| downloads | 250receipt
What the source handed over{
"_asked": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"_id": "6abdff36ca63fede259141a1",
"author": "FineEnvs",
"cardData": {
"base_model": "LiquidAI/LFM2.5-2.6B",
"base_model_relation": "finetune",
"datasets": [
"FineEnvs/SmolDataEnvs-multiharness-sft"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_link": "LICENSE",
"license_name": "lfm1.0",
"model-index": [
{
"name": "LFM2.5-2.6B-opencode-SFT (main, step 1208)",
"results": [
{
"dataset": {
"args": {
"harness": "all four"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Overall",
"type": "pass_at_1",
"value": 47.5,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "opencode"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — OpenCode",
"type": "pass_at_1",
"value": 51.6,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "claude-code"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Claude Code",
"type": "pass_at_1",
"value": 33.2,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "codex"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Codex",
"type": "pass_at_1",
"value": 46.4,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "mini-swe-agent"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Mini-SWE-Agent",
"type": "pass_at_1",
"value": 58.8,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
}
]
}
],
"pipeline_tag": "text-generation",
"tags": [
"trl",
"openenv",
"harbor",
"agent",
"smoldataenvs",
"sft",
"opencode"
],
"thumbnail": "https://huggingface.co/spaces/AdithyaSK/multi-harness-rl/resolve/main/app/public/og/og-image.png"
},
"config": {
"architectures": [
"Lfm2ForCausalLM"
],
"chat_template_jinja": "{{- bos_token -}}\n{%- set preserve_thinking = preserve_thinking | default(false) -%}\n\n{%- macro format_arg_value(arg_value) -%}\n {%- if arg_value is string -%}\n {{- \"'\" + (arg_value | replace(\"\\\\\", \"\\\\\\\\\") | replace(\"'\", \"\\\\'\") | replace(\"\\n\", \"\\\\n\") | replace(\"\\r\", \"\\\\r\")) + \"'\" -}}\n {%- elif arg_value is mapping or arg_value is iterable -%}\n {{- arg_value | tojson -}}\n {%- else -%}\n {{- arg_value | string -}}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro parse_content(content) -%}\n {%- if content is string -%}\n {{- content -}}\n {%- elif content is mapping -%}\n {{- content | tojson -}}\n {%- elif content is iterable -%}\n {%- set _ns = namespace(result=\"\") -%}\n {%- for item in content -%}\n {%- if item is string -%}\n {%- set _ns.result = _ns.result + item -%}\n {%- elif item is mapping and item.get(\"type\") == \"image\" -%}\n {%- set _ns.result = _ns.result + \"<image>\" -%}\n {%- elif item is mapping and item.get(\"type\") == \"text\" -%}\n {%- set _ns.result = _ns.result + ((item.get(\"text\") or \"\") | string) -%}\n {%- else -%}\n {%- set _ns.result = _ns.result + (item | tojson) -%}\n {%- endif -%}\n {%- endfor -%}\n {{- _ns.result -}}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro render_tool_calls(tool_calls) -%}\n {%- set tool_calls_ns = namespace(tool_calls=[]) -%}\n {%- for tool_call in tool_calls -%}\n {%- set func = tool_call[\"function\"] if \"function\" in tool_call else tool_call -%}\n {%- set func_name = func[\"name\"] -%}\n {%- set func_args = func.get(\"arguments\") -%}\n {%- set args_ns = namespace(arg_strings=[]) -%}\n {%- if func_args is mapping -%}\n {%- for arg_name, arg_value in func_args.items() -%}\n {%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + \"=\" + format_arg_value(arg_value)] -%}\n {%- endfor -%}\n {%- elif func_args is string and (func_args | trim) not in [\"\", \"{}\", \"null\"] -%}\n {{- raise_exception(\"Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template\") -}}\n {%- endif -%}\n {%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + \"(\" + (args_ns.arg_strings | join(\", \")) + \")\"] -%}\n {%- endfor -%}\n {{- \"<|tool_call_start|>[\" + (tool_calls_ns.tool_calls | join(\", \")) + \"]<|tool_call_end|>\" -}}\n{%- endmacro -%}\n\n{%- set ns = namespace(system_prompt=\"\", last_user_index=-1) -%}\n{%- if messages and messages[0][\"role\"] == \"system\" -%}\n {%- if messages[0].get(\"content\") -%}\n {%- set ns.system_prompt = parse_content(messages[0][\"content\"]) -%}\n {%- endif -%}\n {%- set messages = messages[1:] -%}\n{%- endif -%}\n{%- if tools -%}\n {%- set ns.system_prompt = ns.system_prompt + (\"\\n\" if ns.system_prompt else \"\") + \"List of tools: [\" -%}\n {%- for tool in tools -%}\n {%- if tool is not string -%}\n {%- set tool = tool | tojson -%}\n {%- endif -%}\n {%- set ns.system_prompt = ns.system_prompt + tool -%}\n {%- if not loop.last -%}\n {%- set ns.system_prompt = ns.system_prompt + \", \" -%}\n {%- endif -%}\n {%- endfor -%}\n {%- set ns.system_prompt = ns.system_prompt + \"]\" -%}\n{%- endif -%}\n{%- if ns.system_prompt -%}\n {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\n{%- endif -%}\n{%- for message in messages -%}\n {%- if message[\"role\"] == \"user\" -%}\n {%- set ns.last_user_index = loop.index0 -%}\n {%- endif -%}\n{%- endfor -%}\n{%- for message in messages -%}\n {{- \"<|im_start|>\" + message.role + \"\\n\" -}}\n {%- if message.role == \"assistant\" -%}\n {%- generation -%}\n {%- set keep_thinking = preserve_thinking or loop.index0 > ns.last_user_index -%}\n {%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%}\n {%- set thinking = thinking if thinking is string else \"\" -%}\n {%- if thinking and keep_thinking -%}\n {{- \"<think>\" + thinking + \"</think>\" -}}\n {%- endif -%}\n {%- set _cfm_tag = \"CONTINUE_FINAL_MESSAGE_TAG \" -%}\n {%- set _has_cfm = false -%}\n {%- set content = \"\" -%}\n {%- if message.get(\"content\") -%}\n {%- set content = parse_content(message.content) -%}\n {%- endif -%}\n {%- if not keep_thinking and \"</think>\" in content -%}\n {%- set content = content.split(\"</think>\")[-1] | trim -%}\n {%- endif -%}\n {%- if content.endswith(_cfm_tag) -%}\n {%- set _has_cfm = true -%}\n {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}\n {%- set content = content[:_trunc_len] -%}\n {%- endif -%}\n {{- content -}}\n {%- if message.tool_calls -%}\n {{- render_tool_calls(message.tool_calls) -}}\n {%- endif -%}\n {%- if _has_cfm -%}\n {{- _cfm_tag -}}\n {%- endif -%}\n {{- \"<|im_end|>\\n\" -}}\n {%- endgeneration -%}\n {%- else %}\n {%- if message.get(\"content\") -%}\n {{- parse_content(message[\"content\"]) -}}\n {%- endif -%}\n {{- \"<|im_end|>\\n\" -}}\n {%- endif %}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{- \"<|im_start|>assistant\\n<think>\" -}}\n{%- endif -%}\n",
"model_type": "lfm2",
"tokenizer_config": {
"bos_token": "<|startoftext|>",
"eos_token": "<|im_end|>",
"pad_token": "<|pad|>",
"use_default_system_prompt": false
}
},
"createdAt": "2026-10-01T06:35:34.000Z",
"disabled": false,
"downloads": 250,
"gated": false,
"id": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"lastModified": "2026-10-01T07:16:22.000Z",
"library_name": "transformers",
"likes": 1,
"model-index": [
{
"name": "LFM2.5-2.6B-opencode-SFT (main, step 1208)",
"results": [
{
"dataset": {
"args": {
"harness": "all four"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Overall",
"type": "pass_at_1",
"value": 47.5,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "opencode"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — OpenCode",
"type": "pass_at_1",
"value": 51.6,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "claude-code"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Claude Code",
"type": "pass_at_1",
"value": 33.2,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "codex"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Codex",
"type": "pass_at_1",
"value": 46.4,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "mini-swe-agent"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Mini-SWE-Agent",
"type": "pass_at_1",
"value": 58.8,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
}
]
}
],
"modelId": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 2697198592
},
"total": 2697198592
},
"sha": "fee36335415894ce8222526d4784152bd5684687",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "LICENSE"
},
{
"rfilename": "NOTICE"
},
{
"rfilename": "README.md"
},
{
"rfilename": "assets/curves.gif"
},
{
"rfilename": "assets/curves.json"
},
{
"rfilename": "assets/curves.png"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "eval_results.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "release_manifest.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"trl",
"openenv",
"harbor",
"agent",
"smoldataenvs",
"sft",
"opencode",
"conversational",
"en",
"dataset:FineEnvs/SmolDataEnvs-multiharness-sft",
"base_model:LiquidAI/LFM2.5-2.6B",
"base_model:finetune:LiquidAI/LFM2.5-2.6B",
"license:other",
"model-index",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 5418341730,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} |
| gated | falsereceipt
What the source handed over{
"_asked": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"_id": "6abdff36ca63fede259141a1",
"author": "FineEnvs",
"cardData": {
"base_model": "LiquidAI/LFM2.5-2.6B",
"base_model_relation": "finetune",
"datasets": [
"FineEnvs/SmolDataEnvs-multiharness-sft"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_link": "LICENSE",
"license_name": "lfm1.0",
"model-index": [
{
"name": "LFM2.5-2.6B-opencode-SFT (main, step 1208)",
"results": [
{
"dataset": {
"args": {
"harness": "all four"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Overall",
"type": "pass_at_1",
"value": 47.5,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "opencode"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — OpenCode",
"type": "pass_at_1",
"value": 51.6,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "claude-code"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Claude Code",
"type": "pass_at_1",
"value": 33.2,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "codex"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Codex",
"type": "pass_at_1",
"value": 46.4,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "mini-swe-agent"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Mini-SWE-Agent",
"type": "pass_at_1",
"value": 58.8,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
}
]
}
],
"pipeline_tag": "text-generation",
"tags": [
"trl",
"openenv",
"harbor",
"agent",
"smoldataenvs",
"sft",
"opencode"
],
"thumbnail": "https://huggingface.co/spaces/AdithyaSK/multi-harness-rl/resolve/main/app/public/og/og-image.png"
},
"config": {
"architectures": [
"Lfm2ForCausalLM"
],
"chat_template_jinja": "{{- bos_token -}}\n{%- set preserve_thinking = preserve_thinking | default(false) -%}\n\n{%- macro format_arg_value(arg_value) -%}\n {%- if arg_value is string -%}\n {{- \"'\" + (arg_value | replace(\"\\\\\", \"\\\\\\\\\") | replace(\"'\", \"\\\\'\") | replace(\"\\n\", \"\\\\n\") | replace(\"\\r\", \"\\\\r\")) + \"'\" -}}\n {%- elif arg_value is mapping or arg_value is iterable -%}\n {{- arg_value | tojson -}}\n {%- else -%}\n {{- arg_value | string -}}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro parse_content(content) -%}\n {%- if content is string -%}\n {{- content -}}\n {%- elif content is mapping -%}\n {{- content | tojson -}}\n {%- elif content is iterable -%}\n {%- set _ns = namespace(result=\"\") -%}\n {%- for item in content -%}\n {%- if item is string -%}\n {%- set _ns.result = _ns.result + item -%}\n {%- elif item is mapping and item.get(\"type\") == \"image\" -%}\n {%- set _ns.result = _ns.result + \"<image>\" -%}\n {%- elif item is mapping and item.get(\"type\") == \"text\" -%}\n {%- set _ns.result = _ns.result + ((item.get(\"text\") or \"\") | string) -%}\n {%- else -%}\n {%- set _ns.result = _ns.result + (item | tojson) -%}\n {%- endif -%}\n {%- endfor -%}\n {{- _ns.result -}}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro render_tool_calls(tool_calls) -%}\n {%- set tool_calls_ns = namespace(tool_calls=[]) -%}\n {%- for tool_call in tool_calls -%}\n {%- set func = tool_call[\"function\"] if \"function\" in tool_call else tool_call -%}\n {%- set func_name = func[\"name\"] -%}\n {%- set func_args = func.get(\"arguments\") -%}\n {%- set args_ns = namespace(arg_strings=[]) -%}\n {%- if func_args is mapping -%}\n {%- for arg_name, arg_value in func_args.items() -%}\n {%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + \"=\" + format_arg_value(arg_value)] -%}\n {%- endfor -%}\n {%- elif func_args is string and (func_args | trim) not in [\"\", \"{}\", \"null\"] -%}\n {{- raise_exception(\"Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template\") -}}\n {%- endif -%}\n {%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + \"(\" + (args_ns.arg_strings | join(\", \")) + \")\"] -%}\n {%- endfor -%}\n {{- \"<|tool_call_start|>[\" + (tool_calls_ns.tool_calls | join(\", \")) + \"]<|tool_call_end|>\" -}}\n{%- endmacro -%}\n\n{%- set ns = namespace(system_prompt=\"\", last_user_index=-1) -%}\n{%- if messages and messages[0][\"role\"] == \"system\" -%}\n {%- if messages[0].get(\"content\") -%}\n {%- set ns.system_prompt = parse_content(messages[0][\"content\"]) -%}\n {%- endif -%}\n {%- set messages = messages[1:] -%}\n{%- endif -%}\n{%- if tools -%}\n {%- set ns.system_prompt = ns.system_prompt + (\"\\n\" if ns.system_prompt else \"\") + \"List of tools: [\" -%}\n {%- for tool in tools -%}\n {%- if tool is not string -%}\n {%- set tool = tool | tojson -%}\n {%- endif -%}\n {%- set ns.system_prompt = ns.system_prompt + tool -%}\n {%- if not loop.last -%}\n {%- set ns.system_prompt = ns.system_prompt + \", \" -%}\n {%- endif -%}\n {%- endfor -%}\n {%- set ns.system_prompt = ns.system_prompt + \"]\" -%}\n{%- endif -%}\n{%- if ns.system_prompt -%}\n {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\n{%- endif -%}\n{%- for message in messages -%}\n {%- if message[\"role\"] == \"user\" -%}\n {%- set ns.last_user_index = loop.index0 -%}\n {%- endif -%}\n{%- endfor -%}\n{%- for message in messages -%}\n {{- \"<|im_start|>\" + message.role + \"\\n\" -}}\n {%- if message.role == \"assistant\" -%}\n {%- generation -%}\n {%- set keep_thinking = preserve_thinking or loop.index0 > ns.last_user_index -%}\n {%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%}\n {%- set thinking = thinking if thinking is string else \"\" -%}\n {%- if thinking and keep_thinking -%}\n {{- \"<think>\" + thinking + \"</think>\" -}}\n {%- endif -%}\n {%- set _cfm_tag = \"CONTINUE_FINAL_MESSAGE_TAG \" -%}\n {%- set _has_cfm = false -%}\n {%- set content = \"\" -%}\n {%- if message.get(\"content\") -%}\n {%- set content = parse_content(message.content) -%}\n {%- endif -%}\n {%- if not keep_thinking and \"</think>\" in content -%}\n {%- set content = content.split(\"</think>\")[-1] | trim -%}\n {%- endif -%}\n {%- if content.endswith(_cfm_tag) -%}\n {%- set _has_cfm = true -%}\n {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}\n {%- set content = content[:_trunc_len] -%}\n {%- endif -%}\n {{- content -}}\n {%- if message.tool_calls -%}\n {{- render_tool_calls(message.tool_calls) -}}\n {%- endif -%}\n {%- if _has_cfm -%}\n {{- _cfm_tag -}}\n {%- endif -%}\n {{- \"<|im_end|>\\n\" -}}\n {%- endgeneration -%}\n {%- else %}\n {%- if message.get(\"content\") -%}\n {{- parse_content(message[\"content\"]) -}}\n {%- endif -%}\n {{- \"<|im_end|>\\n\" -}}\n {%- endif %}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{- \"<|im_start|>assistant\\n<think>\" -}}\n{%- endif -%}\n",
"model_type": "lfm2",
"tokenizer_config": {
"bos_token": "<|startoftext|>",
"eos_token": "<|im_end|>",
"pad_token": "<|pad|>",
"use_default_system_prompt": false
}
},
"createdAt": "2026-10-01T06:35:34.000Z",
"disabled": false,
"downloads": 250,
"gated": false,
"id": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"lastModified": "2026-10-01T07:16:22.000Z",
"library_name": "transformers",
"likes": 1,
"model-index": [
{
"name": "LFM2.5-2.6B-opencode-SFT (main, step 1208)",
"results": [
{
"dataset": {
"args": {
"harness": "all four"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Overall",
"type": "pass_at_1",
"value": 47.5,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "opencode"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — OpenCode",
"type": "pass_at_1",
"value": 51.6,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "claude-code"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Claude Code",
"type": "pass_at_1",
"value": 33.2,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "codex"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Codex",
"type": "pass_at_1",
"value": 46.4,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "mini-swe-agent"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Mini-SWE-Agent",
"type": "pass_at_1",
"value": 58.8,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
}
]
}
],
"modelId": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 2697198592
},
"total": 2697198592
},
"sha": "fee36335415894ce8222526d4784152bd5684687",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "LICENSE"
},
{
"rfilename": "NOTICE"
},
{
"rfilename": "README.md"
},
{
"rfilename": "assets/curves.gif"
},
{
"rfilename": "assets/curves.json"
},
{
"rfilename": "assets/curves.png"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "eval_results.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "release_manifest.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"trl",
"openenv",
"harbor",
"agent",
"smoldataenvs",
"sft",
"opencode",
"conversational",
"en",
"dataset:FineEnvs/SmolDataEnvs-multiharness-sft",
"base_model:LiquidAI/LFM2.5-2.6B",
"base_model:finetune:LiquidAI/LFM2.5-2.6B",
"license:other",
"model-index",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 5418341730,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} |
| licence | otherreceipt
What the source handed over{
"_asked": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"_id": "6abdff36ca63fede259141a1",
"author": "FineEnvs",
"cardData": {
"base_model": "LiquidAI/LFM2.5-2.6B",
"base_model_relation": "finetune",
"datasets": [
"FineEnvs/SmolDataEnvs-multiharness-sft"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_link": "LICENSE",
"license_name": "lfm1.0",
"model-index": [
{
"name": "LFM2.5-2.6B-opencode-SFT (main, step 1208)",
"results": [
{
"dataset": {
"args": {
"harness": "all four"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Overall",
"type": "pass_at_1",
"value": 47.5,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "opencode"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — OpenCode",
"type": "pass_at_1",
"value": 51.6,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "claude-code"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Claude Code",
"type": "pass_at_1",
"value": 33.2,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "codex"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Codex",
"type": "pass_at_1",
"value": 46.4,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "mini-swe-agent"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Mini-SWE-Agent",
"type": "pass_at_1",
"value": 58.8,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
}
]
}
],
"pipeline_tag": "text-generation",
"tags": [
"trl",
"openenv",
"harbor",
"agent",
"smoldataenvs",
"sft",
"opencode"
],
"thumbnail": "https://huggingface.co/spaces/AdithyaSK/multi-harness-rl/resolve/main/app/public/og/og-image.png"
},
"config": {
"architectures": [
"Lfm2ForCausalLM"
],
"chat_template_jinja": "{{- bos_token -}}\n{%- set preserve_thinking = preserve_thinking | default(false) -%}\n\n{%- macro format_arg_value(arg_value) -%}\n {%- if arg_value is string -%}\n {{- \"'\" + (arg_value | replace(\"\\\\\", \"\\\\\\\\\") | replace(\"'\", \"\\\\'\") | replace(\"\\n\", \"\\\\n\") | replace(\"\\r\", \"\\\\r\")) + \"'\" -}}\n {%- elif arg_value is mapping or arg_value is iterable -%}\n {{- arg_value | tojson -}}\n {%- else -%}\n {{- arg_value | string -}}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro parse_content(content) -%}\n {%- if content is string -%}\n {{- content -}}\n {%- elif content is mapping -%}\n {{- content | tojson -}}\n {%- elif content is iterable -%}\n {%- set _ns = namespace(result=\"\") -%}\n {%- for item in content -%}\n {%- if item is string -%}\n {%- set _ns.result = _ns.result + item -%}\n {%- elif item is mapping and item.get(\"type\") == \"image\" -%}\n {%- set _ns.result = _ns.result + \"<image>\" -%}\n {%- elif item is mapping and item.get(\"type\") == \"text\" -%}\n {%- set _ns.result = _ns.result + ((item.get(\"text\") or \"\") | string) -%}\n {%- else -%}\n {%- set _ns.result = _ns.result + (item | tojson) -%}\n {%- endif -%}\n {%- endfor -%}\n {{- _ns.result -}}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro render_tool_calls(tool_calls) -%}\n {%- set tool_calls_ns = namespace(tool_calls=[]) -%}\n {%- for tool_call in tool_calls -%}\n {%- set func = tool_call[\"function\"] if \"function\" in tool_call else tool_call -%}\n {%- set func_name = func[\"name\"] -%}\n {%- set func_args = func.get(\"arguments\") -%}\n {%- set args_ns = namespace(arg_strings=[]) -%}\n {%- if func_args is mapping -%}\n {%- for arg_name, arg_value in func_args.items() -%}\n {%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + \"=\" + format_arg_value(arg_value)] -%}\n {%- endfor -%}\n {%- elif func_args is string and (func_args | trim) not in [\"\", \"{}\", \"null\"] -%}\n {{- raise_exception(\"Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template\") -}}\n {%- endif -%}\n {%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + \"(\" + (args_ns.arg_strings | join(\", \")) + \")\"] -%}\n {%- endfor -%}\n {{- \"<|tool_call_start|>[\" + (tool_calls_ns.tool_calls | join(\", \")) + \"]<|tool_call_end|>\" -}}\n{%- endmacro -%}\n\n{%- set ns = namespace(system_prompt=\"\", last_user_index=-1) -%}\n{%- if messages and messages[0][\"role\"] == \"system\" -%}\n {%- if messages[0].get(\"content\") -%}\n {%- set ns.system_prompt = parse_content(messages[0][\"content\"]) -%}\n {%- endif -%}\n {%- set messages = messages[1:] -%}\n{%- endif -%}\n{%- if tools -%}\n {%- set ns.system_prompt = ns.system_prompt + (\"\\n\" if ns.system_prompt else \"\") + \"List of tools: [\" -%}\n {%- for tool in tools -%}\n {%- if tool is not string -%}\n {%- set tool = tool | tojson -%}\n {%- endif -%}\n {%- set ns.system_prompt = ns.system_prompt + tool -%}\n {%- if not loop.last -%}\n {%- set ns.system_prompt = ns.system_prompt + \", \" -%}\n {%- endif -%}\n {%- endfor -%}\n {%- set ns.system_prompt = ns.system_prompt + \"]\" -%}\n{%- endif -%}\n{%- if ns.system_prompt -%}\n {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\n{%- endif -%}\n{%- for message in messages -%}\n {%- if message[\"role\"] == \"user\" -%}\n {%- set ns.last_user_index = loop.index0 -%}\n {%- endif -%}\n{%- endfor -%}\n{%- for message in messages -%}\n {{- \"<|im_start|>\" + message.role + \"\\n\" -}}\n {%- if message.role == \"assistant\" -%}\n {%- generation -%}\n {%- set keep_thinking = preserve_thinking or loop.index0 > ns.last_user_index -%}\n {%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%}\n {%- set thinking = thinking if thinking is string else \"\" -%}\n {%- if thinking and keep_thinking -%}\n {{- \"<think>\" + thinking + \"</think>\" -}}\n {%- endif -%}\n {%- set _cfm_tag = \"CONTINUE_FINAL_MESSAGE_TAG \" -%}\n {%- set _has_cfm = false -%}\n {%- set content = \"\" -%}\n {%- if message.get(\"content\") -%}\n {%- set content = parse_content(message.content) -%}\n {%- endif -%}\n {%- if not keep_thinking and \"</think>\" in content -%}\n {%- set content = content.split(\"</think>\")[-1] | trim -%}\n {%- endif -%}\n {%- if content.endswith(_cfm_tag) -%}\n {%- set _has_cfm = true -%}\n {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}\n {%- set content = content[:_trunc_len] -%}\n {%- endif -%}\n {{- content -}}\n {%- if message.tool_calls -%}\n {{- render_tool_calls(message.tool_calls) -}}\n {%- endif -%}\n {%- if _has_cfm -%}\n {{- _cfm_tag -}}\n {%- endif -%}\n {{- \"<|im_end|>\\n\" -}}\n {%- endgeneration -%}\n {%- else %}\n {%- if message.get(\"content\") -%}\n {{- parse_content(message[\"content\"]) -}}\n {%- endif -%}\n {{- \"<|im_end|>\\n\" -}}\n {%- endif %}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{- \"<|im_start|>assistant\\n<think>\" -}}\n{%- endif -%}\n",
"model_type": "lfm2",
"tokenizer_config": {
"bos_token": "<|startoftext|>",
"eos_token": "<|im_end|>",
"pad_token": "<|pad|>",
"use_default_system_prompt": false
}
},
"createdAt": "2026-10-01T06:35:34.000Z",
"disabled": false,
"downloads": 250,
"gated": false,
"id": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"lastModified": "2026-10-01T07:16:22.000Z",
"library_name": "transformers",
"likes": 1,
"model-index": [
{
"name": "LFM2.5-2.6B-opencode-SFT (main, step 1208)",
"results": [
{
"dataset": {
"args": {
"harness": "all four"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Overall",
"type": "pass_at_1",
"value": 47.5,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "opencode"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — OpenCode",
"type": "pass_at_1",
"value": 51.6,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "claude-code"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Claude Code",
"type": "pass_at_1",
"value": 33.2,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "codex"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Codex",
"type": "pass_at_1",
"value": 46.4,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "mini-swe-agent"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Mini-SWE-Agent",
"type": "pass_at_1",
"value": 58.8,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
}
]
}
],
"modelId": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 2697198592
},
"total": 2697198592
},
"sha": "fee36335415894ce8222526d4784152bd5684687",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "LICENSE"
},
{
"rfilename": "NOTICE"
},
{
"rfilename": "README.md"
},
{
"rfilename": "assets/curves.gif"
},
{
"rfilename": "assets/curves.json"
},
{
"rfilename": "assets/curves.png"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "eval_results.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "release_manifest.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"trl",
"openenv",
"harbor",
"agent",
"smoldataenvs",
"sft",
"opencode",
"conversational",
"en",
"dataset:FineEnvs/SmolDataEnvs-multiharness-sft",
"base_model:LiquidAI/LFM2.5-2.6B",
"base_model:finetune:LiquidAI/LFM2.5-2.6B",
"license:other",
"model-index",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 5418341730,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} |
| likes | 1receipt
What the source handed over{
"_asked": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"_id": "6abdff36ca63fede259141a1",
"author": "FineEnvs",
"cardData": {
"base_model": "LiquidAI/LFM2.5-2.6B",
"base_model_relation": "finetune",
"datasets": [
"FineEnvs/SmolDataEnvs-multiharness-sft"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_link": "LICENSE",
"license_name": "lfm1.0",
"model-index": [
{
"name": "LFM2.5-2.6B-opencode-SFT (main, step 1208)",
"results": [
{
"dataset": {
"args": {
"harness": "all four"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Overall",
"type": "pass_at_1",
"value": 47.5,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "opencode"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — OpenCode",
"type": "pass_at_1",
"value": 51.6,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "claude-code"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Claude Code",
"type": "pass_at_1",
"value": 33.2,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "codex"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Codex",
"type": "pass_at_1",
"value": 46.4,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "mini-swe-agent"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Mini-SWE-Agent",
"type": "pass_at_1",
"value": 58.8,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
}
]
}
],
"pipeline_tag": "text-generation",
"tags": [
"trl",
"openenv",
"harbor",
"agent",
"smoldataenvs",
"sft",
"opencode"
],
"thumbnail": "https://huggingface.co/spaces/AdithyaSK/multi-harness-rl/resolve/main/app/public/og/og-image.png"
},
"config": {
"architectures": [
"Lfm2ForCausalLM"
],
"chat_template_jinja": "{{- bos_token -}}\n{%- set preserve_thinking = preserve_thinking | default(false) -%}\n\n{%- macro format_arg_value(arg_value) -%}\n {%- if arg_value is string -%}\n {{- \"'\" + (arg_value | replace(\"\\\\\", \"\\\\\\\\\") | replace(\"'\", \"\\\\'\") | replace(\"\\n\", \"\\\\n\") | replace(\"\\r\", \"\\\\r\")) + \"'\" -}}\n {%- elif arg_value is mapping or arg_value is iterable -%}\n {{- arg_value | tojson -}}\n {%- else -%}\n {{- arg_value | string -}}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro parse_content(content) -%}\n {%- if content is string -%}\n {{- content -}}\n {%- elif content is mapping -%}\n {{- content | tojson -}}\n {%- elif content is iterable -%}\n {%- set _ns = namespace(result=\"\") -%}\n {%- for item in content -%}\n {%- if item is string -%}\n {%- set _ns.result = _ns.result + item -%}\n {%- elif item is mapping and item.get(\"type\") == \"image\" -%}\n {%- set _ns.result = _ns.result + \"<image>\" -%}\n {%- elif item is mapping and item.get(\"type\") == \"text\" -%}\n {%- set _ns.result = _ns.result + ((item.get(\"text\") or \"\") | string) -%}\n {%- else -%}\n {%- set _ns.result = _ns.result + (item | tojson) -%}\n {%- endif -%}\n {%- endfor -%}\n {{- _ns.result -}}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro render_tool_calls(tool_calls) -%}\n {%- set tool_calls_ns = namespace(tool_calls=[]) -%}\n {%- for tool_call in tool_calls -%}\n {%- set func = tool_call[\"function\"] if \"function\" in tool_call else tool_call -%}\n {%- set func_name = func[\"name\"] -%}\n {%- set func_args = func.get(\"arguments\") -%}\n {%- set args_ns = namespace(arg_strings=[]) -%}\n {%- if func_args is mapping -%}\n {%- for arg_name, arg_value in func_args.items() -%}\n {%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + \"=\" + format_arg_value(arg_value)] -%}\n {%- endfor -%}\n {%- elif func_args is string and (func_args | trim) not in [\"\", \"{}\", \"null\"] -%}\n {{- raise_exception(\"Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template\") -}}\n {%- endif -%}\n {%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + \"(\" + (args_ns.arg_strings | join(\", \")) + \")\"] -%}\n {%- endfor -%}\n {{- \"<|tool_call_start|>[\" + (tool_calls_ns.tool_calls | join(\", \")) + \"]<|tool_call_end|>\" -}}\n{%- endmacro -%}\n\n{%- set ns = namespace(system_prompt=\"\", last_user_index=-1) -%}\n{%- if messages and messages[0][\"role\"] == \"system\" -%}\n {%- if messages[0].get(\"content\") -%}\n {%- set ns.system_prompt = parse_content(messages[0][\"content\"]) -%}\n {%- endif -%}\n {%- set messages = messages[1:] -%}\n{%- endif -%}\n{%- if tools -%}\n {%- set ns.system_prompt = ns.system_prompt + (\"\\n\" if ns.system_prompt else \"\") + \"List of tools: [\" -%}\n {%- for tool in tools -%}\n {%- if tool is not string -%}\n {%- set tool = tool | tojson -%}\n {%- endif -%}\n {%- set ns.system_prompt = ns.system_prompt + tool -%}\n {%- if not loop.last -%}\n {%- set ns.system_prompt = ns.system_prompt + \", \" -%}\n {%- endif -%}\n {%- endfor -%}\n {%- set ns.system_prompt = ns.system_prompt + \"]\" -%}\n{%- endif -%}\n{%- if ns.system_prompt -%}\n {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\n{%- endif -%}\n{%- for message in messages -%}\n {%- if message[\"role\"] == \"user\" -%}\n {%- set ns.last_user_index = loop.index0 -%}\n {%- endif -%}\n{%- endfor -%}\n{%- for message in messages -%}\n {{- \"<|im_start|>\" + message.role + \"\\n\" -}}\n {%- if message.role == \"assistant\" -%}\n {%- generation -%}\n {%- set keep_thinking = preserve_thinking or loop.index0 > ns.last_user_index -%}\n {%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%}\n {%- set thinking = thinking if thinking is string else \"\" -%}\n {%- if thinking and keep_thinking -%}\n {{- \"<think>\" + thinking + \"</think>\" -}}\n {%- endif -%}\n {%- set _cfm_tag = \"CONTINUE_FINAL_MESSAGE_TAG \" -%}\n {%- set _has_cfm = false -%}\n {%- set content = \"\" -%}\n {%- if message.get(\"content\") -%}\n {%- set content = parse_content(message.content) -%}\n {%- endif -%}\n {%- if not keep_thinking and \"</think>\" in content -%}\n {%- set content = content.split(\"</think>\")[-1] | trim -%}\n {%- endif -%}\n {%- if content.endswith(_cfm_tag) -%}\n {%- set _has_cfm = true -%}\n {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}\n {%- set content = content[:_trunc_len] -%}\n {%- endif -%}\n {{- content -}}\n {%- if message.tool_calls -%}\n {{- render_tool_calls(message.tool_calls) -}}\n {%- endif -%}\n {%- if _has_cfm -%}\n {{- _cfm_tag -}}\n {%- endif -%}\n {{- \"<|im_end|>\\n\" -}}\n {%- endgeneration -%}\n {%- else %}\n {%- if message.get(\"content\") -%}\n {{- parse_content(message[\"content\"]) -}}\n {%- endif -%}\n {{- \"<|im_end|>\\n\" -}}\n {%- endif %}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{- \"<|im_start|>assistant\\n<think>\" -}}\n{%- endif -%}\n",
"model_type": "lfm2",
"tokenizer_config": {
"bos_token": "<|startoftext|>",
"eos_token": "<|im_end|>",
"pad_token": "<|pad|>",
"use_default_system_prompt": false
}
},
"createdAt": "2026-10-01T06:35:34.000Z",
"disabled": false,
"downloads": 250,
"gated": false,
"id": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"lastModified": "2026-10-01T07:16:22.000Z",
"library_name": "transformers",
"likes": 1,
"model-index": [
{
"name": "LFM2.5-2.6B-opencode-SFT (main, step 1208)",
"results": [
{
"dataset": {
"args": {
"harness": "all four"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Overall",
"type": "pass_at_1",
"value": 47.5,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "opencode"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — OpenCode",
"type": "pass_at_1",
"value": 51.6,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "claude-code"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Claude Code",
"type": "pass_at_1",
"value": 33.2,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "codex"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Codex",
"type": "pass_at_1",
"value": 46.4,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "mini-swe-agent"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Mini-SWE-Agent",
"type": "pass_at_1",
"value": 58.8,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
}
]
}
],
"modelId": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 2697198592
},
"total": 2697198592
},
"sha": "fee36335415894ce8222526d4784152bd5684687",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "LICENSE"
},
{
"rfilename": "NOTICE"
},
{
"rfilename": "README.md"
},
{
"rfilename": "assets/curves.gif"
},
{
"rfilename": "assets/curves.json"
},
{
"rfilename": "assets/curves.png"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "eval_results.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "release_manifest.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"trl",
"openenv",
"harbor",
"agent",
"smoldataenvs",
"sft",
"opencode",
"conversational",
"en",
"dataset:FineEnvs/SmolDataEnvs-multiharness-sft",
"base_model:LiquidAI/LFM2.5-2.6B",
"base_model:finetune:LiquidAI/LFM2.5-2.6B",
"license:other",
"model-index",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 5418341730,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} |
| task | text-generationreceipt
What the source handed over{
"_asked": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"_id": "6abdff36ca63fede259141a1",
"author": "FineEnvs",
"cardData": {
"base_model": "LiquidAI/LFM2.5-2.6B",
"base_model_relation": "finetune",
"datasets": [
"FineEnvs/SmolDataEnvs-multiharness-sft"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_link": "LICENSE",
"license_name": "lfm1.0",
"model-index": [
{
"name": "LFM2.5-2.6B-opencode-SFT (main, step 1208)",
"results": [
{
"dataset": {
"args": {
"harness": "all four"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Overall",
"type": "pass_at_1",
"value": 47.5,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "opencode"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — OpenCode",
"type": "pass_at_1",
"value": 51.6,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "claude-code"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Claude Code",
"type": "pass_at_1",
"value": 33.2,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "codex"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Codex",
"type": "pass_at_1",
"value": 46.4,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "mini-swe-agent"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Mini-SWE-Agent",
"type": "pass_at_1",
"value": 58.8,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
}
]
}
],
"pipeline_tag": "text-generation",
"tags": [
"trl",
"openenv",
"harbor",
"agent",
"smoldataenvs",
"sft",
"opencode"
],
"thumbnail": "https://huggingface.co/spaces/AdithyaSK/multi-harness-rl/resolve/main/app/public/og/og-image.png"
},
"config": {
"architectures": [
"Lfm2ForCausalLM"
],
"chat_template_jinja": "{{- bos_token -}}\n{%- set preserve_thinking = preserve_thinking | default(false) -%}\n\n{%- macro format_arg_value(arg_value) -%}\n {%- if arg_value is string -%}\n {{- \"'\" + (arg_value | replace(\"\\\\\", \"\\\\\\\\\") | replace(\"'\", \"\\\\'\") | replace(\"\\n\", \"\\\\n\") | replace(\"\\r\", \"\\\\r\")) + \"'\" -}}\n {%- elif arg_value is mapping or arg_value is iterable -%}\n {{- arg_value | tojson -}}\n {%- else -%}\n {{- arg_value | string -}}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro parse_content(content) -%}\n {%- if content is string -%}\n {{- content -}}\n {%- elif content is mapping -%}\n {{- content | tojson -}}\n {%- elif content is iterable -%}\n {%- set _ns = namespace(result=\"\") -%}\n {%- for item in content -%}\n {%- if item is string -%}\n {%- set _ns.result = _ns.result + item -%}\n {%- elif item is mapping and item.get(\"type\") == \"image\" -%}\n {%- set _ns.result = _ns.result + \"<image>\" -%}\n {%- elif item is mapping and item.get(\"type\") == \"text\" -%}\n {%- set _ns.result = _ns.result + ((item.get(\"text\") or \"\") | string) -%}\n {%- else -%}\n {%- set _ns.result = _ns.result + (item | tojson) -%}\n {%- endif -%}\n {%- endfor -%}\n {{- _ns.result -}}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro render_tool_calls(tool_calls) -%}\n {%- set tool_calls_ns = namespace(tool_calls=[]) -%}\n {%- for tool_call in tool_calls -%}\n {%- set func = tool_call[\"function\"] if \"function\" in tool_call else tool_call -%}\n {%- set func_name = func[\"name\"] -%}\n {%- set func_args = func.get(\"arguments\") -%}\n {%- set args_ns = namespace(arg_strings=[]) -%}\n {%- if func_args is mapping -%}\n {%- for arg_name, arg_value in func_args.items() -%}\n {%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + \"=\" + format_arg_value(arg_value)] -%}\n {%- endfor -%}\n {%- elif func_args is string and (func_args | trim) not in [\"\", \"{}\", \"null\"] -%}\n {{- raise_exception(\"Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template\") -}}\n {%- endif -%}\n {%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + \"(\" + (args_ns.arg_strings | join(\", \")) + \")\"] -%}\n {%- endfor -%}\n {{- \"<|tool_call_start|>[\" + (tool_calls_ns.tool_calls | join(\", \")) + \"]<|tool_call_end|>\" -}}\n{%- endmacro -%}\n\n{%- set ns = namespace(system_prompt=\"\", last_user_index=-1) -%}\n{%- if messages and messages[0][\"role\"] == \"system\" -%}\n {%- if messages[0].get(\"content\") -%}\n {%- set ns.system_prompt = parse_content(messages[0][\"content\"]) -%}\n {%- endif -%}\n {%- set messages = messages[1:] -%}\n{%- endif -%}\n{%- if tools -%}\n {%- set ns.system_prompt = ns.system_prompt + (\"\\n\" if ns.system_prompt else \"\") + \"List of tools: [\" -%}\n {%- for tool in tools -%}\n {%- if tool is not string -%}\n {%- set tool = tool | tojson -%}\n {%- endif -%}\n {%- set ns.system_prompt = ns.system_prompt + tool -%}\n {%- if not loop.last -%}\n {%- set ns.system_prompt = ns.system_prompt + \", \" -%}\n {%- endif -%}\n {%- endfor -%}\n {%- set ns.system_prompt = ns.system_prompt + \"]\" -%}\n{%- endif -%}\n{%- if ns.system_prompt -%}\n {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\n{%- endif -%}\n{%- for message in messages -%}\n {%- if message[\"role\"] == \"user\" -%}\n {%- set ns.last_user_index = loop.index0 -%}\n {%- endif -%}\n{%- endfor -%}\n{%- for message in messages -%}\n {{- \"<|im_start|>\" + message.role + \"\\n\" -}}\n {%- if message.role == \"assistant\" -%}\n {%- generation -%}\n {%- set keep_thinking = preserve_thinking or loop.index0 > ns.last_user_index -%}\n {%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%}\n {%- set thinking = thinking if thinking is string else \"\" -%}\n {%- if thinking and keep_thinking -%}\n {{- \"<think>\" + thinking + \"</think>\" -}}\n {%- endif -%}\n {%- set _cfm_tag = \"CONTINUE_FINAL_MESSAGE_TAG \" -%}\n {%- set _has_cfm = false -%}\n {%- set content = \"\" -%}\n {%- if message.get(\"content\") -%}\n {%- set content = parse_content(message.content) -%}\n {%- endif -%}\n {%- if not keep_thinking and \"</think>\" in content -%}\n {%- set content = content.split(\"</think>\")[-1] | trim -%}\n {%- endif -%}\n {%- if content.endswith(_cfm_tag) -%}\n {%- set _has_cfm = true -%}\n {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}\n {%- set content = content[:_trunc_len] -%}\n {%- endif -%}\n {{- content -}}\n {%- if message.tool_calls -%}\n {{- render_tool_calls(message.tool_calls) -}}\n {%- endif -%}\n {%- if _has_cfm -%}\n {{- _cfm_tag -}}\n {%- endif -%}\n {{- \"<|im_end|>\\n\" -}}\n {%- endgeneration -%}\n {%- else %}\n {%- if message.get(\"content\") -%}\n {{- parse_content(message[\"content\"]) -}}\n {%- endif -%}\n {{- \"<|im_end|>\\n\" -}}\n {%- endif %}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n {{- \"<|im_start|>assistant\\n<think>\" -}}\n{%- endif -%}\n",
"model_type": "lfm2",
"tokenizer_config": {
"bos_token": "<|startoftext|>",
"eos_token": "<|im_end|>",
"pad_token": "<|pad|>",
"use_default_system_prompt": false
}
},
"createdAt": "2026-10-01T06:35:34.000Z",
"disabled": false,
"downloads": 250,
"gated": false,
"id": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"lastModified": "2026-10-01T07:16:22.000Z",
"library_name": "transformers",
"likes": 1,
"model-index": [
{
"name": "LFM2.5-2.6B-opencode-SFT (main, step 1208)",
"results": [
{
"dataset": {
"args": {
"harness": "all four"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Overall",
"type": "pass_at_1",
"value": 47.5,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "opencode"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — OpenCode",
"type": "pass_at_1",
"value": 51.6,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "claude-code"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Claude Code",
"type": "pass_at_1",
"value": 33.2,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "codex"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Codex",
"type": "pass_at_1",
"value": 46.4,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
},
{
"dataset": {
"args": {
"harness": "mini-swe-agent"
},
"name": "SmolDataEnvs (250 fixed test tasks)",
"split": "test",
"type": "FineEnvs/SmolDataEnvs-harbor-test"
},
"metrics": [
{
"name": "Pass@1 (%) — Mini-SWE-Agent",
"type": "pass_at_1",
"value": 58.8,
"verified": false
}
],
"task": {
"name": "Agentic data analysis",
"type": "text-generation"
}
}
]
}
],
"modelId": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 2697198592
},
"total": 2697198592
},
"sha": "fee36335415894ce8222526d4784152bd5684687",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "LICENSE"
},
{
"rfilename": "NOTICE"
},
{
"rfilename": "README.md"
},
{
"rfilename": "assets/curves.gif"
},
{
"rfilename": "assets/curves.json"
},
{
"rfilename": "assets/curves.png"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "eval_results.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "model.safetensors"
},
{
"rfilename": "release_manifest.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"lfm2",
"text-generation",
"trl",
"openenv",
"harbor",
"agent",
"smoldataenvs",
"sft",
"opencode",
"conversational",
"en",
"dataset:FineEnvs/SmolDataEnvs-multiharness-sft",
"base_model:LiquidAI/LFM2.5-2.6B",
"base_model:finetune:LiquidAI/LFM2.5-2.6B",
"license:other",
"model-index",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
},
"usedStorage": 5418341730,
"widgetData": [
{
"text": "Hi, what can you help me with?"
},
{
"text": "What is 84 * 3 / 2?"
},
{
"text": "Tell me an interesting fact about the universe!"
},
{
"text": "Explain quantum computing in simple terms."
}
]
} |
Text
This source's terms allow its title, its values and a link here, not its text. It is at https://huggingface.co/FineEnvs/LFM2.5-2.6B-opencode-SFT.