FineEnvs/LFM2.5-2.6B-opencode-SFT

hf FineEnvs/LFM2.5-2.6B-opencode-SFT 2 sources, 3 claims · Watch

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PropertySourceSaidMeans here
Author
author
not compared
GGUF quantisationsmradermacher
receipt
Source
GGUF quantisations
Its words
mradermacher
Read by
field:author
Said since
2026-10-02 12:01 UTC
Last answered
2026-10-04 06:13 UTC
Original
open at the source
What the source handed over
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—
Author
author
not compared
Hugging Face modelsFineEnvs
receipt
Source
Hugging Face models
Its words
FineEnvs
Read by
field:author
Said since
2026-10-03 18:10 UTC
Last answered
2026-10-04 06:17 UTC
Original
open at the source
What the source handed over
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      "text": "Hi, what can you help me with?"
    },
    {
      "text": "What is 84 * 3 / 2?"
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    },
    {
      "text": "Explain quantum computing in simple terms."
    }
  ]
}
—
Base
base
GGUF quantisationsFineEnvs/LFM2.5-2.6B-opencode-SFT
receipt
Source
GGUF quantisations
Its words
FineEnvs/LFM2.5-2.6B-opencode-SFT
Read by
field:cardData.base_model[]
Said since
2026-10-02 12:01 UTC
Last answered
2026-10-04 06:13 UTC
Original
open at the source
What the source handed over
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—
Downloads
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GGUF quantisations1940
receipt
Source
GGUF quantisations
Its words
1940
Read by
field:downloads
Said since
2026-10-03 12:09 UTC
Last answered
2026-10-04 06:13 UTC
Original
open at the source
2026-10-03 12:09 UTC1940
2026-10-02 12:01 UTC25
What the source handed over
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—
Downloads
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506
receipt
Source
GGUF quantisations
Its words
506
Read by
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Said since
2026-10-03 12:09 UTC
Last answered
2026-10-04 06:13 UTC
Original
open at the source
2026-10-03 12:09 UTC506
2026-10-02 12:01 UTC245
What the source handed over
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—
Downloads
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Hugging Face models250
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Hugging Face models
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Last answered
2026-10-04 06:17 UTC
Original
open at the source
What the source handed over
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  "widgetData": [
    {
      "text": "Hi, what can you help me with?"
    },
    {
      "text": "What is 84 * 3 / 2?"
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      "text": "Tell me an interesting fact about the universe!"
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}
—
Gated
gated
Hugging Face modelsfalse
receipt
Source
Hugging Face models
Its words
false
Read by
field:gated
Said since
2026-10-03 18:10 UTC
Last answered
2026-10-04 06:17 UTC
Original
open at the source
What the source handed over
{
  "_asked": "FineEnvs/LFM2.5-2.6B-opencode-SFT",
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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 + 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-%}\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",
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Licence
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GGUF quantisationsother
receipt
Source
GGUF quantisations
Its words
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Read by
field:cardData.license
Said since
2026-10-02 12:01 UTC
Last answered
2026-10-04 06:13 UTC
Original
open at the source
What the source handed over
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Licence
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Hugging Face modelsother
receipt
Source
Hugging Face models
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Read by
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Said since
2026-10-03 18:10 UTC
Last answered
2026-10-04 06:17 UTC
Original
open at the source
What the source handed over
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}
—
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not compared
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receipt
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GGUF quantisations
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0
Read by
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Said since
2026-10-02 12:01 UTC
Last answered
2026-10-04 06:13 UTC
Original
open at the source
What the source handed over
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}
—
Likes
likes
not compared
Hugging Face models1
receipt
Source
Hugging Face models
Its words
1
Read by
field:likes
Said since
2026-10-03 18:10 UTC
Last answered
2026-10-04 06:17 UTC
Original
open at the source
What the source handed over
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  ]
}
—
Task
task
Hugging Face modelstext-generation
receipt
Source
Hugging Face models
Its words
text-generation
Read by
field:pipeline_tag
Said since
2026-10-03 18:10 UTC
Last answered
2026-10-04 06:17 UTC
Original
open at the source
What the source handed over
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              "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"
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              "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"
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            "name": "SmolDataEnvs (250 fixed test tasks)",
            "split": "test",
            "type": "FineEnvs/SmolDataEnvs-harbor-test"
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          "metrics": [
            {
              "name": "Pass@1 (%) — Overall",
              "type": "pass_at_1",
              "value": 47.5,
              "verified": false
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          ],
          "task": {
            "name": "Agentic data analysis",
            "type": "text-generation"
          }
        },
        {
          "dataset": {
            "args": {
              "harness": "opencode"
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            "name": "SmolDataEnvs (250 fixed test tasks)",
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            {
              "name": "Pass@1 (%) — OpenCode",
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              "verified": false
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          ],
          "task": {
            "name": "Agentic data analysis",
            "type": "text-generation"
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        {
          "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",
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        },
        {
          "dataset": {
            "args": {
              "harness": "codex"
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            "name": "SmolDataEnvs (250 fixed test tasks)",
            "split": "test",
            "type": "FineEnvs/SmolDataEnvs-harbor-test"
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          "metrics": [
            {
              "name": "Pass@1 (%) — Codex",
              "type": "pass_at_1",
              "value": 46.4,
              "verified": false
            }
          ],
          "task": {
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          ],
          "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
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  "sha": "fee36335415894ce8222526d4784152bd5684687",
  "siblings": [
    {
      "rfilename": ".gitattributes"
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      "rfilename": "LICENSE"
    },
    {
      "rfilename": "NOTICE"
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      "rfilename": "README.md"
    },
    {
      "rfilename": "assets/curves.gif"
    },
    {
      "rfilename": "assets/curves.json"
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      "rfilename": "assets/curves.png"
    },
    {
      "rfilename": "chat_template.jinja"
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    },
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      "rfilename": "tokenizer_config.json"
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  ],
  "spaces": [],
  "tags": [
    "transformers",
    "safetensors",
    "lfm2",
    "text-generation",
    "trl",
    "openenv",
    "harbor",
    "agent",
    "smoldataenvs",
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    "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."
    }
  ]
}
—

model

FineEnvs/LFM2.5-2.6B-opencode-SFT
zetlyn/models-hf · 2026-10-01
author FineEnvs downloads 250 gated false licence other likes 1 task text-generation source

quantisation

mradermacher/LFM2.5-2.6B-opencode-SFT-i1-GGUF
zetlyn/models-gguf · 2026-10-02
author mradermacher base FineEnvs/LFM2.5-2.6B-opencode-SFT downloads 1940 licence other likes 0 source
mradermacher/LFM2.5-2.6B-opencode-SFT-GGUF
zetlyn/models-gguf · 2026-10-01
author mradermacher base FineEnvs/LFM2.5-2.6B-opencode-SFT downloads 506 licence other likes 0 source