allenai/AstaBrief_8B
hf allenai/AstaBrief_8B 2 sources, 4 claims · Watch
What each source says
| Property | Source | Said | Means here | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Author author not compared | GGUF quantisations | carlosmstavaresreceipt
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| Author author not compared | mradermacherreceipt
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| Author author not compared | Hugging Face models | allenaireceipt
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| Base base | GGUF quantisations | allenai/AstaBrief_8Breceipt
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| Downloads downloads not compared | GGUF quantisations | 149receipt
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| Downloads downloads not compared | 3002receipt
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| Downloads downloads not compared | 733receipt
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| Likes likes not compared | GGUF quantisations | 0receipt
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| Likes likes not compared | 1receipt
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| Likes likes not compared | Hugging Face models | 42receipt
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| Task task | Hugging Face models | text-generationreceipt
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"chat_template_jinja": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\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 {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- 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 {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- generation %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- content }}\n {%- endif %}\n {%- else %}\n {{- content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endgeneration %}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
"model_type": "qwen3",
"tokenizer_config": {
"bos_token": null,
"eos_token": "<|im_end|>",
"pad_token": "<|endoftext|>",
"unk_token": null
}
},
"createdAt": "2026-02-09T17:13:01.000Z",
"disabled": false,
"downloads": 1191,
"gated": false,
"id": "allenai/AstaBrief_8B",
"lastModified": "2026-10-03T18:55:16.000Z",
"likes": 42,
"model-index": null,
"modelId": "allenai/AstaBrief_8B",
"pipeline_tag": "text-generation",
"private": false,
"sha": "6a34f54dcd7887b790a570249b4a2a2fe81c6694",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "added_tokens.json"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "generation_config.json"
},
{
"rfilename": "merges.txt"
},
{
"rfilename": "pytorch_model-00001-of-00004.bin"
},
{
"rfilename": "pytorch_model-00001-of-00004.safetensors"
},
{
"rfilename": "pytorch_model-00002-of-00004.bin"
},
{
"rfilename": "pytorch_model-00002-of-00004.safetensors"
},
{
"rfilename": "pytorch_model-00003-of-00004.bin"
},
{
"rfilename": "pytorch_model-00003-of-00004.safetensors"
},
{
"rfilename": "pytorch_model-00004-of-00004.bin"
},
{
"rfilename": "pytorch_model-00004-of-00004.safetensors"
},
{
"rfilename": "pytorch_model.bin.index.json"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
},
{
"rfilename": "vocab.json"
}
],
"spaces": [
"tardellirs/model-pulse"
],
"tags": [
"pytorch",
"qwen3",
"deep-research",
"direct-preference-optimization",
"text-generation",
"conversational",
"en",
"dataset:allenai/AstaBrief_DPO_Mix",
"base_model:allenai/AstaBrief_8B_SFT",
"base_model:finetune:allenai/AstaBrief_8B_SFT",
"license:apache-2.0",
"region:us"
],
"usedStorage": 32774548889,
"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
| allenai/AstaBrief_8B zetlyn/models-hf · 2026-02-09 | author allenai downloads 1191 gated false licence apache-2.0 likes 42 task text-generation | source |
quantisation
| mradermacher/AstaBrief_8B-i1-GGUF zetlyn/models-gguf · 2026-10-03 | author mradermacher base allenai/AstaBrief_8B downloads 3002 licence apache-2.0 likes 0 | source |
| mradermacher/AstaBrief_8B-GGUF zetlyn/models-gguf · 2026-10-02 | author mradermacher base allenai/AstaBrief_8B downloads 733 licence apache-2.0 likes 0 | source |
| carlosmstavares/astabrief-8b-gguf zetlyn/models-gguf · 2026-10-02 | author carlosmstavares base allenai/AstaBrief_8B downloads 149 licence apache-2.0 likes 1 | source |