AllSpark-Research/Iris-mini
hf AllSpark-Research/Iris-mini 2 sources, 6 claims · Watch
What each source says
| Property | Source | Said | Means here |
|---|---|---|---|
| Author author not compared | GGUF quantisations | IsValorumreceipt
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| Author author not compared | mradermacherreceipt
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| Author author not compared | Hugging Face models | AllSpark-Researchreceipt
This source has not kept a receipt for this claim yet. The next update that reads it will. | — |
| Base base | GGUF quantisations | AllSpark-Research/Iris-minireceipt
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| Downloads downloads not compared | GGUF quantisations | 1808receipt
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| Downloads downloads not compared | 2362receipt
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| Downloads downloads not compared | 3533receipt
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| Downloads downloads not compared | 4649receipt
What the source handed over{
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| Downloads downloads not compared | Hugging Face models | 600receipt
What the source handed over{
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"chat_template_jinja": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n {%- if content is string %}\n {{- content }}\n {%- elif content is iterable and content is not mapping %}\n {%- for item in content %}\n {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain images.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Picture ' ~ image_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n {%- elif 'video' in item or item.type == 'video' %}\n {%- if is_system_content %}\n {{- raise_exception('System message cannot contain videos.') }}\n {%- endif %}\n {%- if do_vision_count %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- endif %}\n {%- if add_vision_id %}\n {{- 'Video ' ~ video_count.value ~ ': ' }}\n {%- endif %}\n {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n {%- elif 'text' in item %}\n {{- item.text }}\n {%- else %}\n {{- raise_exception('Unexpected item type in content.') }}\n {%- endif %}\n {%- endfor %}\n {%- elif content is none or content is undefined %}\n {{- '' }}\n {%- else %}\n {{- raise_exception('Unexpected content type.') }}\n {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n {{- '<|im_start|>system\\n' }}\n {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\" }}\n {{- '\\n\\nIf you choose to call a function ONLY reply in the following format with NO suffix:\\n\\n<tool_call>\\n<function=example_function_name>\\n<parameter=example_parameter_1>\\nvalue_1\\n</parameter>\\n<parameter=example_parameter_2>\\nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\n</parameter>\\n</function>\\n</tool_call>\\n\\n<IMPORTANT>\\nReminder:\\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\\n- Required parameters MUST be specified\\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\\n</IMPORTANT>' }}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {%- if content %}\n {{- '\\n\\n' + content }}\n {%- endif %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {%- set content = render_content(messages[0].content, false, true)|trim %}\n {{- '<|im_start|>system\\n' + 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\" %}\n {%- set content = render_content(message.content, false)|trim %}\n {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n {%- set content = render_content(message.content, true)|trim %}\n {%- if message.role == \"system\" %}\n {%- if not loop.first %}\n {{- raise_exception('System message must be at the beginning.') }}\n {%- endif %}\n {%- elif message.role == \"user\" %}\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 {%- set reasoning_content = reasoning_content|trim %}\n {%- if (preserve_thinking is defined and preserve_thinking is true) or (loop.index0 > ns.last_query_index) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {%- if loop.first %}\n {%- if content|trim %}\n {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- else %}\n {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- else %}\n {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n {%- endif %}\n {%- if tool_call.arguments is defined %}\n {%- for args_name, args_value in tool_call.arguments|items %}\n {{- '<parameter=' + args_name + '>\\n' }}\n {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}\n {{- args_value }}\n {{- '\\n</parameter>\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '</function>\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- elif loop.last %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- else %}\n {{- raise_exception('Unexpected message role.') }}\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 {%- else %}\n {{- '<think>\\n' }}\n {%- endif %}\n{%- endif %}",
"model_type": "qwen3_5_moe",
"tokenizer_config": {
"bos_token": null,
"eos_token": "<|im_end|>",
"pad_token": "<|endoftext|>",
"unk_token": null
}
},
"createdAt": "2026-09-01T16:47:06.000Z",
"disabled": false,
"downloads": 600,
"gated": false,
"id": "AllSpark-Research/Iris-mini",
"lastModified": "2026-09-02T16:57:10.000Z",
"library_name": "transformers",
"likes": 13,
"model-index": null,
"modelId": "AllSpark-Research/Iris-mini",
"pipeline_tag": "text-generation",
"private": false,
"safetensors": {
"parameters": {
"BF16": 35951822704
},
"total": 35951822704
},
"sha": "1ec3716e4e8375c2ccc19affd210fe54630006f6",
"siblings": [
{
"rfilename": ".gitattributes"
},
{
"rfilename": "README.md"
},
{
"rfilename": "chat_template.jinja"
},
{
"rfilename": "config.json"
},
{
"rfilename": "model-00001-of-00016.safetensors"
},
{
"rfilename": "model-00002-of-00016.safetensors"
},
{
"rfilename": "model-00003-of-00016.safetensors"
},
{
"rfilename": "model-00004-of-00016.safetensors"
},
{
"rfilename": "model-00005-of-00016.safetensors"
},
{
"rfilename": "model-00006-of-00016.safetensors"
},
{
"rfilename": "model-00007-of-00016.safetensors"
},
{
"rfilename": "model-00008-of-00016.safetensors"
},
{
"rfilename": "model-00009-of-00016.safetensors"
},
{
"rfilename": "model-00010-of-00016.safetensors"
},
{
"rfilename": "model-00011-of-00016.safetensors"
},
{
"rfilename": "model-00012-of-00016.safetensors"
},
{
"rfilename": "model-00013-of-00016.safetensors"
},
{
"rfilename": "model-00014-of-00016.safetensors"
},
{
"rfilename": "model-00015-of-00016.safetensors"
},
{
"rfilename": "model-00016-of-00016.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "preprocessor_config.json"
},
{
"rfilename": "processor_config.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
}
],
"spaces": [],
"tags": [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"search-agent",
"deep-research",
"agentic",
"qwen3.6",
"moe",
"text-generation",
"conversational",
"base_model:Qwen/Qwen3.6-35B-A3B",
"base_model:finetune:Qwen/Qwen3.6-35B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForMultimodalLM",
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
},
"usedStorage": 71923860389,
"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 task | Hugging Face models | text-generationreceipt
This source has not kept a receipt for this claim yet. The next update that reads it will. | — |
model
| AllSpark-Research/Iris-mini zetlyn/models-hf · 2026-09-01 | author AllSpark-Research downloads 655 gated false licence apache-2.0 likes 12 task text-generation | source |
| AllSpark-Research/Iris-mini zetlyn/models-hf · 2026-09-01 | author AllSpark-Research downloads 600 gated false licence apache-2.0 likes 13 task text-generation | source |
quantisation
| IsValorum/Iris-mini-APEX-I-MiniPlus-V2.1-GGUF zetlyn/models-gguf · 2026-09-18 | author IsValorum base AllSpark-Research/Iris-mini downloads 2362 licence apache-2.0 likes 0 | source |
| IsValorum/Iris-mini-APEX-I-MiniPlus-V1-GGUF zetlyn/models-gguf · 2026-09-14 | author IsValorum base AllSpark-Research/Iris-mini downloads 3533 licence apache-2.0 likes 2 | source |
| mradermacher/Iris-mini-i1-GGUF zetlyn/models-gguf · 2026-09-03 | author mradermacher base AllSpark-Research/Iris-mini downloads 4649 licence apache-2.0 likes 0 | source |
| mradermacher/Iris-mini-GGUF zetlyn/models-gguf · 2026-09-03 | author mradermacher base AllSpark-Research/Iris-mini downloads 1808 licence apache-2.0 likes 0 | source |