dicta-il/DictaLM-3.0-1.7B-Instruct
zetlyn/models-hf model hf dicta-il/DictaLM-3.0-1.7B-Instruct known 2025-12-01
https://huggingface.co/dicta-il/DictaLM-3.0-1.7B-Instruct
Properties
| author | dicta-ilreceipt
What the source handed over{
"_asked": "dicta-il/DictaLM-3.0-1.7B-Instruct",
"_id": "692df2a1ab5a6f3ef99c6ed6",
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"license": "apache-2.0",
"pipeline_tag": "text-generation",
"tags": [
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},
"config": {
"architectures": [
"Qwen3ForCausalLM"
],
"chat_template_jinja": "{# ───── header (system message) ───── #}\n{{- \"<|im_start|>system\\n\" -}}\n{# ───── get the custom instructions + optional thinking override ───── #}\n{%- if messages[0].role == \"system\" -%}\n\t{%- set custom_instructions = messages[0].content.rstrip() -%}\n{%- endif -%}\n{# ───── set the system prompt ───── #}\n{%- if custom_instructions -%}\n\t{{- custom_instructions -}}\n{%- else -%}\n\t{{- \"You are a helpful AI assistant named Dicta-LM 3.0, Trained by Dicta, the Israel Center for Text Analysis. Your role is to provide accurate, helpful, and well-structured responses to user questions and requests.\\nProvide clear, logical, and precise answers that thoroughly address what the user is asking for. Structure your responses in a way that is easy to understand and follow.\" -}}\n{%- endif -%}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages | length - 1) -%}\n{%- for message in messages[::-1] -%}\n\t{%- set index = messages | length - 1 - loop.index0 -%}\n\t{%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not (message.content.startswith(\"<tool_response>\") and message.content.endswith(\"</tool_response>\")) -%}\n\t\t{%- set ns.multi_step_tool = false -%}\n\t\t{%- set ns.last_query_index = index -%}\n\t{%- endif -%}\n{%- endfor -%}\n{%- if tools -%}\n\t{{- \"\\n\\n## Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" -}}\n\t{%- for tool in tools -%}\n\t\t{{- \"\\n\" -}}\n\t\t{{- tool | tojson -}}\n\t{%- endfor -%}\n\t{{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call>\" -}}\n{%- endif -%}\n{{- \"<|im_end|>\" -}}\n{%- for message in messages -%}\n\t{%- if message.content is string -%}\n\t\t{%- set content = message.content -%}\n\t{%- else -%}\n\t\t{%- set content = \"\" -%}\n\t{%- endif -%}\n\t{%- if message.role == \"user\" or message.role == \"system\" and not loop.first -%}\n\t\t{{- \"\\n<|im_start|>\" + message.role + \"\\n\" + content + \"<|im_end|>\" -}}\n\t{%- elif message.role == \"assistant\" -%}\n\t\t{% generation %}\n\t\t{{- \"\\n<|im_start|>\" + message.role + \"\\n\" + content -}}\n\t\t{%- if message.tool_calls -%}\n\t\t\t{%- for tool_call in message.tool_calls -%}\n\t\t\t\t{%- if loop.first and content or not loop.first -%}\n\t\t\t\t\t{{- \"\\n\" -}}\n\t\t\t\t{%- endif -%}\n\t\t\t\t{%- if tool_call.function -%}\n\t\t\t\t\t{%- set tool_call = tool_call.function -%}\n\t\t\t\t{%- endif -%}\n\t\t\t\t{{- \"<tool_call>\\n{\\\"name\\\": \\\"\" -}}\n\t\t\t\t{{- tool_call.name -}}\n\t\t\t\t{{- \"\\\", \\\"arguments\\\": \" -}}\n\t\t\t\t{%- if tool_call.arguments is string -%}\n\t\t\t\t\t{{- tool_call.arguments -}}\n\t\t\t\t{%- else -%}\n\t\t\t\t\t{{- tool_call.arguments | tojson -}}\n\t\t\t\t{%- endif -%}\n\t\t\t\t{{- \"}\\n</tool_call>\" -}}\n\t\t\t{%- endfor -%}\n\t\t{%- endif -%}\n\t\t{{- \"<|im_end|>\" -}}\n\t\t{% endgeneration %}\n\t{%- elif message.role == \"tool\" -%}\n\t\t{%- if loop.first or messages[loop.index0 - 1].role != \"tool\" -%}\n\t\t\t{{- \"\\n<|im_start|>user\" -}}\n\t\t{%- endif -%}\n\t\t{{- \"\\n<tool_response>\\n\" -}}\n\t\t{{- content -}}\n\t\t{{- \"\\n</tool_response>\" -}}\n\t\t{%- if loop.last or messages[loop.index0 + 1].role != \"tool\" -%}\n\t\t\t{{- \"<|im_end|>\" -}}\n\t\t{%- endif -%}\n\t{%- endif -%}\n{%- endfor -%}\n{{- \"\\n\" -}}\n{%- if add_generation_prompt -%}\n\t{{- \"<|im_start|>assistant\\n\" -}}\n{%- endif -%}",
"model_type": "qwen3",
"tokenizer_config": {
"bos_token": null,
"eos_token": "<|endoftext|>",
"pad_token": "<|endoftext|>",
"sep_token": "<|endoftext|>",
"unk_token": null
}
},
"createdAt": "2025-12-01T19:55:13.000Z",
"disabled": false,
"downloads": 2016,
"gated": false,
"id": "dicta-il/DictaLM-3.0-1.7B-Instruct",
"inference": "warm",
"lastModified": "2025-12-01T23:49:29.000Z",
"likes": 3,
"model-index": null,
"modelId": "dicta-il/DictaLM-3.0-1.7B-Instruct",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 1720574976
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"total": 1720574976
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"sha": "5add44d6941d6ffb9eb6cc6b516f9fb4fd472494",
"siblings": [
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"rfilename": ".gitattributes"
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{
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"rfilename": "README.md"
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{
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{
"rfilename": "vocab.json"
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"spaces": [
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"widgetData": [
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"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."
}
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} | ||||||
|---|---|---|---|---|---|---|---|
| downloads | 2016receipt
What the source handed over{
"_asked": "dicta-il/DictaLM-3.0-1.7B-Instruct",
"_id": "692df2a1ab5a6f3ef99c6ed6",
"author": "dicta-il",
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"tags": [
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"config": {
"architectures": [
"Qwen3ForCausalLM"
],
"chat_template_jinja": "{# ───── header (system message) ───── #}\n{{- \"<|im_start|>system\\n\" -}}\n{# ───── get the custom instructions + optional thinking override ───── #}\n{%- if messages[0].role == \"system\" -%}\n\t{%- set custom_instructions = messages[0].content.rstrip() -%}\n{%- endif -%}\n{# ───── set the system prompt ───── #}\n{%- if custom_instructions -%}\n\t{{- custom_instructions -}}\n{%- else -%}\n\t{{- \"You are a helpful AI assistant named Dicta-LM 3.0, Trained by Dicta, the Israel Center for Text Analysis. Your role is to provide accurate, helpful, and well-structured responses to user questions and requests.\\nProvide clear, logical, and precise answers that thoroughly address what the user is asking for. Structure your responses in a way that is easy to understand and follow.\" -}}\n{%- endif -%}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages | length - 1) -%}\n{%- for message in messages[::-1] -%}\n\t{%- set index = messages | length - 1 - loop.index0 -%}\n\t{%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not (message.content.startswith(\"<tool_response>\") and message.content.endswith(\"</tool_response>\")) -%}\n\t\t{%- set ns.multi_step_tool = false -%}\n\t\t{%- set ns.last_query_index = index -%}\n\t{%- endif -%}\n{%- endfor -%}\n{%- if tools -%}\n\t{{- \"\\n\\n## Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" -}}\n\t{%- for tool in tools -%}\n\t\t{{- \"\\n\" -}}\n\t\t{{- tool | tojson -}}\n\t{%- endfor -%}\n\t{{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call>\" -}}\n{%- endif -%}\n{{- \"<|im_end|>\" -}}\n{%- for message in messages -%}\n\t{%- if message.content is string -%}\n\t\t{%- set content = message.content -%}\n\t{%- else -%}\n\t\t{%- set content = \"\" -%}\n\t{%- endif -%}\n\t{%- if message.role == \"user\" or message.role == \"system\" and not loop.first -%}\n\t\t{{- \"\\n<|im_start|>\" + message.role + \"\\n\" + content + \"<|im_end|>\" -}}\n\t{%- elif message.role == \"assistant\" -%}\n\t\t{% generation %}\n\t\t{{- \"\\n<|im_start|>\" + message.role + \"\\n\" + content -}}\n\t\t{%- if message.tool_calls -%}\n\t\t\t{%- for tool_call in message.tool_calls -%}\n\t\t\t\t{%- if loop.first and content or not loop.first -%}\n\t\t\t\t\t{{- \"\\n\" -}}\n\t\t\t\t{%- endif -%}\n\t\t\t\t{%- if tool_call.function -%}\n\t\t\t\t\t{%- set tool_call = tool_call.function -%}\n\t\t\t\t{%- endif -%}\n\t\t\t\t{{- \"<tool_call>\\n{\\\"name\\\": \\\"\" -}}\n\t\t\t\t{{- tool_call.name -}}\n\t\t\t\t{{- \"\\\", \\\"arguments\\\": \" -}}\n\t\t\t\t{%- if tool_call.arguments is string -%}\n\t\t\t\t\t{{- tool_call.arguments -}}\n\t\t\t\t{%- else -%}\n\t\t\t\t\t{{- tool_call.arguments | tojson -}}\n\t\t\t\t{%- endif -%}\n\t\t\t\t{{- \"}\\n</tool_call>\" -}}\n\t\t\t{%- endfor -%}\n\t\t{%- endif -%}\n\t\t{{- \"<|im_end|>\" -}}\n\t\t{% endgeneration %}\n\t{%- elif message.role == \"tool\" -%}\n\t\t{%- if loop.first or messages[loop.index0 - 1].role != \"tool\" -%}\n\t\t\t{{- \"\\n<|im_start|>user\" -}}\n\t\t{%- endif -%}\n\t\t{{- \"\\n<tool_response>\\n\" -}}\n\t\t{{- content -}}\n\t\t{{- \"\\n</tool_response>\" -}}\n\t\t{%- if loop.last or messages[loop.index0 + 1].role != \"tool\" -%}\n\t\t\t{{- \"<|im_end|>\" -}}\n\t\t{%- endif -%}\n\t{%- endif -%}\n{%- endfor -%}\n{{- \"\\n\" -}}\n{%- if add_generation_prompt -%}\n\t{{- \"<|im_start|>assistant\\n\" -}}\n{%- endif -%}",
"model_type": "qwen3",
"tokenizer_config": {
"bos_token": null,
"eos_token": "<|endoftext|>",
"pad_token": "<|endoftext|>",
"sep_token": "<|endoftext|>",
"unk_token": null
}
},
"createdAt": "2025-12-01T19:55:13.000Z",
"disabled": false,
"downloads": 2016,
"gated": false,
"id": "dicta-il/DictaLM-3.0-1.7B-Instruct",
"inference": "warm",
"lastModified": "2025-12-01T23:49:29.000Z",
"likes": 3,
"model-index": null,
"modelId": "dicta-il/DictaLM-3.0-1.7B-Instruct",
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"sha": "5add44d6941d6ffb9eb6cc6b516f9fb4fd472494",
"siblings": [
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"tags": [
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"widgetData": [
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"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": "dicta-il/DictaLM-3.0-1.7B-Instruct",
"_id": "692df2a1ab5a6f3ef99c6ed6",
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"pretrained"
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"config": {
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"Qwen3ForCausalLM"
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"chat_template_jinja": "{# ───── header (system message) ───── #}\n{{- \"<|im_start|>system\\n\" -}}\n{# ───── get the custom instructions + optional thinking override ───── #}\n{%- if messages[0].role == \"system\" -%}\n\t{%- set custom_instructions = messages[0].content.rstrip() -%}\n{%- endif -%}\n{# ───── set the system prompt ───── #}\n{%- if custom_instructions -%}\n\t{{- custom_instructions -}}\n{%- else -%}\n\t{{- \"You are a helpful AI assistant named Dicta-LM 3.0, Trained by Dicta, the Israel Center for Text Analysis. Your role is to provide accurate, helpful, and well-structured responses to user questions and requests.\\nProvide clear, logical, and precise answers that thoroughly address what the user is asking for. Structure your responses in a way that is easy to understand and follow.\" -}}\n{%- endif -%}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages | length - 1) -%}\n{%- for message in messages[::-1] -%}\n\t{%- set index = messages | length - 1 - loop.index0 -%}\n\t{%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not (message.content.startswith(\"<tool_response>\") and message.content.endswith(\"</tool_response>\")) -%}\n\t\t{%- set ns.multi_step_tool = false -%}\n\t\t{%- set ns.last_query_index = index -%}\n\t{%- endif -%}\n{%- endfor -%}\n{%- if tools -%}\n\t{{- \"\\n\\n## Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" -}}\n\t{%- for tool in tools -%}\n\t\t{{- \"\\n\" -}}\n\t\t{{- tool | tojson -}}\n\t{%- endfor -%}\n\t{{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call>\" -}}\n{%- endif -%}\n{{- \"<|im_end|>\" -}}\n{%- for message in messages -%}\n\t{%- if message.content is string -%}\n\t\t{%- set content = message.content -%}\n\t{%- else -%}\n\t\t{%- set content = \"\" -%}\n\t{%- endif -%}\n\t{%- if message.role == \"user\" or message.role == \"system\" and not loop.first -%}\n\t\t{{- \"\\n<|im_start|>\" + message.role + \"\\n\" + content + \"<|im_end|>\" -}}\n\t{%- elif message.role == \"assistant\" -%}\n\t\t{% generation %}\n\t\t{{- \"\\n<|im_start|>\" + message.role + \"\\n\" + content -}}\n\t\t{%- if message.tool_calls -%}\n\t\t\t{%- for tool_call in message.tool_calls -%}\n\t\t\t\t{%- if loop.first and content or not loop.first -%}\n\t\t\t\t\t{{- \"\\n\" -}}\n\t\t\t\t{%- endif -%}\n\t\t\t\t{%- if tool_call.function -%}\n\t\t\t\t\t{%- set tool_call = tool_call.function -%}\n\t\t\t\t{%- endif -%}\n\t\t\t\t{{- \"<tool_call>\\n{\\\"name\\\": \\\"\" -}}\n\t\t\t\t{{- tool_call.name -}}\n\t\t\t\t{{- \"\\\", \\\"arguments\\\": \" -}}\n\t\t\t\t{%- if tool_call.arguments is string -%}\n\t\t\t\t\t{{- tool_call.arguments -}}\n\t\t\t\t{%- else -%}\n\t\t\t\t\t{{- tool_call.arguments | tojson -}}\n\t\t\t\t{%- endif -%}\n\t\t\t\t{{- \"}\\n</tool_call>\" -}}\n\t\t\t{%- endfor -%}\n\t\t{%- endif -%}\n\t\t{{- \"<|im_end|>\" -}}\n\t\t{% endgeneration %}\n\t{%- elif message.role == \"tool\" -%}\n\t\t{%- if loop.first or messages[loop.index0 - 1].role != \"tool\" -%}\n\t\t\t{{- \"\\n<|im_start|>user\" -}}\n\t\t{%- endif -%}\n\t\t{{- \"\\n<tool_response>\\n\" -}}\n\t\t{{- content -}}\n\t\t{{- \"\\n</tool_response>\" -}}\n\t\t{%- if loop.last or messages[loop.index0 + 1].role != \"tool\" -%}\n\t\t\t{{- \"<|im_end|>\" -}}\n\t\t{%- endif -%}\n\t{%- endif -%}\n{%- endfor -%}\n{{- \"\\n\" -}}\n{%- if add_generation_prompt -%}\n\t{{- \"<|im_start|>assistant\\n\" -}}\n{%- endif -%}",
"model_type": "qwen3",
"tokenizer_config": {
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"eos_token": "<|endoftext|>",
"pad_token": "<|endoftext|>",
"sep_token": "<|endoftext|>",
"unk_token": null
}
},
"createdAt": "2025-12-01T19:55:13.000Z",
"disabled": false,
"downloads": 2016,
"gated": false,
"id": "dicta-il/DictaLM-3.0-1.7B-Instruct",
"inference": "warm",
"lastModified": "2025-12-01T23:49:29.000Z",
"likes": 3,
"model-index": null,
"modelId": "dicta-il/DictaLM-3.0-1.7B-Instruct",
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"private": false,
"safetensors": {
"parameters": {
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"total": 1720574976
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"sha": "5add44d6941d6ffb9eb6cc6b516f9fb4fd472494",
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"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 | apache-2.0receipt
What the source handed over{
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"_id": "692df2a1ab5a6f3ef99c6ed6",
"author": "dicta-il",
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"text": "Explain quantum computing in simple terms."
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| likes | 3receipt
What the source handed over{
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| task | text-generationreceipt
What the source handed over{
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Text
This source's terms allow its title, its values and a link here, not its text. It is at https://huggingface.co/dicta-il/DictaLM-3.0-1.7B-Instruct.