axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4

hf axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4 2 sources, 3 claims · Watch

What each source says

PropertySourceSaidMeans here
Author
author
GGUF quantisationsaxiomofmind
receipt
Source
GGUF quantisations
Its words
axiomofmind
Read by
field:author
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
{
  "_id": "6a8f99d2b38f31b735f67de8",
  "author": "axiomofmind",
  "cardData": {
    "base_model": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
    "license": "other",
    "license_link": "https://huggingface.co/Qwen/Qwen3.8-Flash-Next/blob/main/LICENSE",
    "license_name": "qwen-community-1.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "gguf",
      "qwen",
      "qwen4exp",
      "nvfp4",
      "modelopt",
      "moe",
      "vision-language"
    ]
  },
  "createdAt": "2026-08-27T01:58:42.000Z",
  "downloads": 1148,
  "gated": false,
  "id": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4-GGUF",
  "lastModified": "2026-08-27T08:29:44.000Z",
  "likes": 2,
  "modelId": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4-GGUF",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "3c2c47d1ef0bf039d919df7d312fc5c4162da2ac",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-Flash-Next-W4A16-NVFP4-BF16attn-PLE-noMTP.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "mmproj-Qwen3.8-Flash-Next-BF16.gguf"
    }
  ],
  "tags": [
    "gguf",
    "qwen",
    "qwen4exp",
    "nvfp4",
    "modelopt",
    "moe",
    "vision-language",
    "image-text-to-text",
    "base_model:axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
    "base_model:quantized:axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Author
author
Hugging Face modelsaxiomofmind
receipt
Source
Hugging Face models
Last answered
2026-10-02 12:06 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Base
base
GGUF quantisationsaxiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4
receipt
Source
GGUF quantisations
Its words
axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4
Read by
field:cardData.base_model[]
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
{
  "_id": "6a8f99d2b38f31b735f67de8",
  "author": "axiomofmind",
  "cardData": {
    "base_model": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
    "license": "other",
    "license_link": "https://huggingface.co/Qwen/Qwen3.8-Flash-Next/blob/main/LICENSE",
    "license_name": "qwen-community-1.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "gguf",
      "qwen",
      "qwen4exp",
      "nvfp4",
      "modelopt",
      "moe",
      "vision-language"
    ]
  },
  "createdAt": "2026-08-27T01:58:42.000Z",
  "downloads": 1148,
  "gated": false,
  "id": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4-GGUF",
  "lastModified": "2026-08-27T08:29:44.000Z",
  "likes": 2,
  "modelId": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4-GGUF",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "3c2c47d1ef0bf039d919df7d312fc5c4162da2ac",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-Flash-Next-W4A16-NVFP4-BF16attn-PLE-noMTP.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "mmproj-Qwen3.8-Flash-Next-BF16.gguf"
    }
  ],
  "tags": [
    "gguf",
    "qwen",
    "qwen4exp",
    "nvfp4",
    "modelopt",
    "moe",
    "vision-language",
    "image-text-to-text",
    "base_model:axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
    "base_model:quantized:axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Downloads
downloads
not compared
GGUF quantisations1148
receipt
Source
GGUF quantisations
Its words
1148
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
{
  "_id": "6a8f99d2b38f31b735f67de8",
  "author": "axiomofmind",
  "cardData": {
    "base_model": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
    "license": "other",
    "license_link": "https://huggingface.co/Qwen/Qwen3.8-Flash-Next/blob/main/LICENSE",
    "license_name": "qwen-community-1.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "gguf",
      "qwen",
      "qwen4exp",
      "nvfp4",
      "modelopt",
      "moe",
      "vision-language"
    ]
  },
  "createdAt": "2026-08-27T01:58:42.000Z",
  "downloads": 1148,
  "gated": false,
  "id": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4-GGUF",
  "lastModified": "2026-08-27T08:29:44.000Z",
  "likes": 2,
  "modelId": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4-GGUF",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "3c2c47d1ef0bf039d919df7d312fc5c4162da2ac",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-Flash-Next-W4A16-NVFP4-BF16attn-PLE-noMTP.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "mmproj-Qwen3.8-Flash-Next-BF16.gguf"
    }
  ],
  "tags": [
    "gguf",
    "qwen",
    "qwen4exp",
    "nvfp4",
    "modelopt",
    "moe",
    "vision-language",
    "image-text-to-text",
    "base_model:axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
    "base_model:quantized:axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Downloads
downloads
not compared
Hugging Face models197
receipt
Source
Hugging Face models
Its words
197
Read by
field:downloads
Said since
2026-10-02 12:02 UTC
Last answered
2026-10-02 12:06 UTC
Original
open at the source
What the source handed over
{
  "_asked": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
  "_id": "6a8f5e94901c02a88819ecfa",
  "author": "axiomofmind",
  "cardData": {
    "base_model": "Qwen/Qwen3.8-Flash-Next",
    "library_name": "transformers",
    "license": "other",
    "license_link": "LICENSE",
    "license_name": "qwen-community-1.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "qwen",
      "nvfp4",
      "modelopt",
      "moe"
    ]
  },
  "config": {
    "architectures": [
      "Qwen4ExpForConditionalGeneration"
    ],
    "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{%- set reasoning_instructions = '' %}\n{%- if enable_thinking is undefined or enable_thinking is true %}\n    {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}\n    {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %}\n        {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }}\n    {%- endif %}\n    {%- if resolved_reasoning_effort == 'xhigh' %}\n        {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}\n    {%- elif resolved_reasoning_effort == 'low' %}\n        {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}\n    {%- endif %}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if reasoning_instructions %}\n        {{- reasoning_instructions + '\\n\\n' }}\n    {%- endif %}\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        {%- if content %}\n            {{- '<|im_start|>system\\n' + (reasoning_instructions + '\\n\\n' if reasoning_instructions else '')  + content + '<|im_end|>\\n' }}\n        {%- elif reasoning_instructions %}\n            {{- '<|im_start|>system\\n' + reasoning_instructions + '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- elif reasoning_instructions %}\n        {{- '<|im_start|>system\\n' + reasoning_instructions + '<|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        {%- endif %}\n        {%- set reasoning_content = reasoning_content|trim %}\n        {%- if preserve_thinking is undefined or 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 and tool_call.arguments != '' %}\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": "qwen4_exp",
    "quantization_config": {
      "config_groups": {
        "group_0": {
          "targets": [
            "Linear"
          ],
          "weights": {
            "num_bits": 4
          }
        }
      },
      "ignore": [
        "model.embed_tokens",
        "mtp.*",
        "model.mtp.*",
        "*.self_attn.*",
        "*.linear_attn.*",
        "*.mlp.gate*",
        "*.mlp.shared_expert.*",
        "*.mlp.shared_expert_gate*",
        "*hyper_connection*",
        "*.ple.*",
        "model.visual.*",
        "model.language_model.embed_tokens",
        "lm_head"
      ],
      "quant_method": "modelopt"
    },
    "tokenizer_config": {
      "bos_token": null,
      "chat_template": "{%- 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{%- set reasoning_instructions = '' %}\n{%- if enable_thinking is undefined or enable_thinking is true %}\n    {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}\n    {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %}\n        {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }}\n    {%- endif %}\n    {%- if resolved_reasoning_effort == 'xhigh' %}\n        {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}\n    {%- elif resolved_reasoning_effort == 'low' %}\n        {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}\n    {%- endif %}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if reasoning_instructions %}\n        {{- reasoning_instructions + '\\n\\n' }}\n    {%- endif %}\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        {%- if content %}\n            {{- '<|im_start|>system\\n' + (reasoning_instructions + '\\n\\n' if reasoning_instructions else '')  + content + '<|im_end|>\\n' }}\n        {%- elif reasoning_instructions %}\n            {{- '<|im_start|>system\\n' + reasoning_instructions + '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- elif reasoning_instructions %}\n        {{- '<|im_start|>system\\n' + reasoning_instructions + '<|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        {%- endif %}\n        {%- set reasoning_content = reasoning_content|trim %}\n        {%- if preserve_thinking is undefined or 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 and tool_call.arguments != '' %}\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 %}",
      "eos_token": "<|im_end|>",
      "pad_token": "<|endoftext|>",
      "unk_token": null
    }
  },
  "createdAt": "2026-08-26T21:45:56.000Z",
  "disabled": false,
  "downloads": 197,
  "gated": false,
  "id": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
  "lastModified": "2026-08-26T22:02:32.000Z",
  "library_name": "transformers",
  "likes": 0,
  "model-index": null,
  "modelId": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 59204026224,
      "I64": 35,
      "U8": 60397977600
    },
    "total": 119602003859
  },
  "sha": "41ef3b02fa1ef61b6f3c10165f9e6955de03d2a2",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.jinja"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "hf_quant_config.json"
    },
    {
      "rfilename": "layer-00000-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00000-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00000-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00000-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00001-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00001-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00001-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00001-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00002-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00002-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00002-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00002-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00003-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00003-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00003-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00003-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00004-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00004-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00004-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00004-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00005-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00005-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00005-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00005-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00006-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00006-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00006-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00006-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00007-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00007-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00007-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00007-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00008-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00008-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00008-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00008-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00009-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00009-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00009-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00009-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00010-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00010-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00010-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00010-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00011-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00011-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00011-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00011-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00012-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00012-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00012-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00012-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00013-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00013-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00013-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00013-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00014-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00014-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00014-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00014-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00015-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00015-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00015-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00015-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00016-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00016-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00016-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00016-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00017-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00017-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00017-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00017-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00018-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00018-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00018-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00018-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00019-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00019-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00019-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00019-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00020-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00020-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00020-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00020-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00021-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00021-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00021-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00021-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00022-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00022-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00022-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00022-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00023-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00023-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00023-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00023-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00024-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00024-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00024-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00024-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00025-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00025-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00025-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00025-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00026-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00026-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00026-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00026-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00027-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00027-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00027-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00027-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00028-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00028-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00028-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00028-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00029-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00029-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00029-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00029-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00030-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00030-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00030-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00030-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00031-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00031-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00031-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00031-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00032-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00032-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00032-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00032-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00033-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00033-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00033-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00033-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00034-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00034-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00034-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00034-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00035-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00035-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00035-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00035-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00036-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00036-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00036-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00036-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00037-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00037-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00037-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00037-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00038-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00038-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00038-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00038-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00039-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00039-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00039-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00039-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00040-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00040-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00040-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00040-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00041-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00041-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00041-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00041-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00042-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00042-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00042-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00042-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00043-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00043-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00043-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00043-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00044-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00044-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00044-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00044-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00045-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00045-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00045-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00045-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00046-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00046-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00046-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00046-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "layer-00047-experts-0000-0127.safetensors"
    },
    {
      "rfilename": "layer-00047-experts-0128-0255.safetensors"
    },
    {
      "rfilename": "layer-00047-experts-0256-0383.safetensors"
    },
    {
      "rfilename": "layer-00047-experts-0384-0511.safetensors"
    },
    {
      "rfilename": "merges.txt"
    },
    {
      "rfilename": "model-00001-of-00131.safetensors"
    },
    {
      "rfilename": "model-00003-of-00131.safetensors"
    },
    {
      "rfilename": "model-00005-of-00131.safetensors"
    },
    {
      "rfilename": "model-00006-of-00131.safetensors"
    },
    {
      "rfilename": "model-00007-of-00131.safetensors"
    },
    {
      "rfilename": "model-00008-of-00131.safetensors"
    },
    {
      "rfilename": "model-00009-of-00131.safetensors"
    },
    {
      "rfilename": "model-00010-of-00131.safetensors"
    },
    {
      "rfilename": "model-00011-of-00131.safetensors"
    },
    {
      "rfilename": "model-00012-of-00131.safetensors"
    },
    {
      "rfilename": "model-00013-of-00131.safetensors"
    },
    {
      "rfilename": "model-00014-of-00131.safetensors"
    },
    {
      "rfilename": "model-00015-of-00131.safetensors"
    },
    {
      "rfilename": "model-00016-of-00131.safetensors"
    },
    {
      "rfilename": "model-00017-of-00131.safetensors"
    },
    {
      "rfilename": "model-00018-of-00131.safetensors"
    },
    {
      "rfilename": "model-00019-of-00131.safetensors"
    },
    {
      "rfilename": "model-00020-of-00131.safetensors"
    },
    {
      "rfilename": "model-00021-of-00131.safetensors"
    },
    {
      "rfilename": "model-00022-of-00131.safetensors"
    },
    {
      "rfilename": "model-00023-of-00131.safetensors"
    },
    {
      "rfilename": "model-00024-of-00131.safetensors"
    },
    {
      "rfilename": "model-00025-of-00131.safetensors"
    },
    {
      "rfilename": "model-00026-of-00131.safetensors"
    },
    {
      "rfilename": "model-00027-of-00131.safetensors"
    },
    {
      "rfilename": "model-00028-of-00131.safetensors"
    },
    {
      "rfilename": "model-00029-of-00131.safetensors"
    },
    {
      "rfilename": "model-00030-of-00131.safetensors"
    },
    {
      "rfilename": "model-00031-of-00131.safetensors"
    },
    {
      "rfilename": "model-00032-of-00131.safetensors"
    },
    {
      "rfilename": "model-00033-of-00131.safetensors"
    },
    {
      "rfilename": "model-00034-of-00131.safetensors"
    },
    {
      "rfilename": "model-00035-of-00131.safetensors"
    },
    {
      "rfilename": "model-00036-of-00131.safetensors"
    },
    {
      "rfilename": "model-00037-of-00131.safetensors"
    },
    {
      "rfilename": "model-00039-of-00131.safetensors"
    },
    {
      "rfilename": "model-00041-of-00131.safetensors"
    },
    {
      "rfilename": "model-00043-of-00131.safetensors"
    },
    {
      "rfilename": "model-00045-of-00131.safetensors"
    },
    {
      "rfilename": "model-00047-of-00131.safetensors"
    },
    {
      "rfilename": "model-00049-of-00131.safetensors"
    },
    {
      "rfilename": "model-00051-of-00131.safetensors"
    },
    {
      "rfilename": "model-00053-of-00131.safetensors"
    },
    {
      "rfilename": "model-00055-of-00131.safetensors"
    },
    {
      "rfilename": "model-00057-of-00131.safetensors"
    },
    {
      "rfilename": "model-00059-of-00131.safetensors"
    },
    {
      "rfilename": "model-00060-of-00131.safetensors"
    },
    {
      "rfilename": "model-00062-of-00131.safetensors"
    },
    {
      "rfilename": "model-00064-of-00131.safetensors"
    },
    {
      "rfilename": "model-00066-of-00131.safetensors"
    },
    {
      "rfilename": "model-00068-of-00131.safetensors"
    },
    {
      "rfilename": "model-00070-of-00131.safetensors"
    },
    {
      "rfilename": "model-00072-of-00131.safetensors"
    },
    {
      "rfilename": "model-00074-of-00131.safetensors"
    },
    {
      "rfilename": "model-00076-of-00131.safetensors"
    },
    {
      "rfilename": "model-00078-of-00131.safetensors"
    },
    {
      "rfilename": "model-00080-of-00131.safetensors"
    },
    {
      "rfilename": "model-00082-of-00131.safetensors"
    },
    {
      "rfilename": "model-00084-of-00131.safetensors"
    },
    {
      "rfilename": "model-00086-of-00131.safetensors"
    },
    {
      "rfilename": "model-00088-of-00131.safetensors"
    },
    {
      "rfilename": "model-00090-of-00131.safetensors"
    },
    {
      "rfilename": "model-00092-of-00131.safetensors"
    },
    {
      "rfilename": "model-00094-of-00131.safetensors"
    },
    {
      "rfilename": "model-00096-of-00131.safetensors"
    },
    {
      "rfilename": "model-00098-of-00131.safetensors"
    },
    {
      "rfilename": "model-00100-of-00131.safetensors"
    },
    {
      "rfilename": "model-00102-of-00131.safetensors"
    },
    {
      "rfilename": "model-00104-of-00131.safetensors"
    },
    {
      "rfilename": "model-00106-of-00131.safetensors"
    },
    {
      "rfilename": "model-00108-of-00131.safetensors"
    },
    {
      "rfilename": "model-00110-of-00131.safetensors"
    },
    {
      "rfilename": "model-00112-of-00131.safetensors"
    },
    {
      "rfilename": "model-00114-of-00131.safetensors"
    },
    {
      "rfilename": "model-00116-of-00131.safetensors"
    },
    {
      "rfilename": "model-00118-of-00131.safetensors"
    },
    {
      "rfilename": "model-00120-of-00131.safetensors"
    },
    {
      "rfilename": "model-00122-of-00131.safetensors"
    },
    {
      "rfilename": "model-00124-of-00131.safetensors"
    },
    {
      "rfilename": "model-00126-of-00131.safetensors"
    },
    {
      "rfilename": "model-00128-of-00131.safetensors"
    },
    {
      "rfilename": "model-00130-of-00131.safetensors"
    },
    {
      "rfilename": "model-00131-of-00131.safetensors"
    },
    {
      "rfilename": "model.safetensors.index.json"
    },
    {
      "rfilename": "preprocessor_config.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "video_preprocessor_config.json"
    },
    {
      "rfilename": "vocab.json"
    }
  ],
  "spaces": [],
  "tags": [
    "transformers",
    "safetensors",
    "qwen4_exp",
    "image-text-to-text",
    "qwen",
    "nvfp4",
    "modelopt",
    "moe",
    "conversational",
    "base_model:Qwen/Qwen3.8-Flash-Next",
    "base_model:quantized:Qwen/Qwen3.8-Flash-Next",
    "license:other",
    "endpoints_compatible",
    "8-bit",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForMultimodalLM",
    "pipeline_tag": "image-text-to-text",
    "processor": "AutoProcessor"
  },
  "usedStorage": 186425522656,
  "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
downloads
not compared
210
receipt
Source
Hugging Face models
Last answered
2026-10-02 12:06 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Gated
gated
Hugging Face modelsfalse
receipt
Source
Hugging Face models
Last answered
2026-10-02 12:06 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Licence
licence
GGUF quantisationsother
receipt
Source
GGUF quantisations
Its words
other
Read by
field:cardData.license
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
{
  "_id": "6a8f99d2b38f31b735f67de8",
  "author": "axiomofmind",
  "cardData": {
    "base_model": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
    "license": "other",
    "license_link": "https://huggingface.co/Qwen/Qwen3.8-Flash-Next/blob/main/LICENSE",
    "license_name": "qwen-community-1.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "gguf",
      "qwen",
      "qwen4exp",
      "nvfp4",
      "modelopt",
      "moe",
      "vision-language"
    ]
  },
  "createdAt": "2026-08-27T01:58:42.000Z",
  "downloads": 1148,
  "gated": false,
  "id": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4-GGUF",
  "lastModified": "2026-08-27T08:29:44.000Z",
  "likes": 2,
  "modelId": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4-GGUF",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "3c2c47d1ef0bf039d919df7d312fc5c4162da2ac",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-Flash-Next-W4A16-NVFP4-BF16attn-PLE-noMTP.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "mmproj-Qwen3.8-Flash-Next-BF16.gguf"
    }
  ],
  "tags": [
    "gguf",
    "qwen",
    "qwen4exp",
    "nvfp4",
    "modelopt",
    "moe",
    "vision-language",
    "image-text-to-text",
    "base_model:axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
    "base_model:quantized:axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Licence
licence
Hugging Face modelsother
receipt
Source
Hugging Face models
Last answered
2026-10-02 12:06 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Likes
likes
not compared
GGUF quantisations2
receipt
Source
GGUF quantisations
Its words
2
Read by
field:likes
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
{
  "_id": "6a8f99d2b38f31b735f67de8",
  "author": "axiomofmind",
  "cardData": {
    "base_model": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
    "license": "other",
    "license_link": "https://huggingface.co/Qwen/Qwen3.8-Flash-Next/blob/main/LICENSE",
    "license_name": "qwen-community-1.0",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "gguf",
      "qwen",
      "qwen4exp",
      "nvfp4",
      "modelopt",
      "moe",
      "vision-language"
    ]
  },
  "createdAt": "2026-08-27T01:58:42.000Z",
  "downloads": 1148,
  "gated": false,
  "id": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4-GGUF",
  "lastModified": "2026-08-27T08:29:44.000Z",
  "likes": 2,
  "modelId": "axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4-GGUF",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "sha": "3c2c47d1ef0bf039d919df7d312fc5c4162da2ac",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "Qwen3.8-Flash-Next-W4A16-NVFP4-BF16attn-PLE-noMTP.gguf"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "mmproj-Qwen3.8-Flash-Next-BF16.gguf"
    }
  ],
  "tags": [
    "gguf",
    "qwen",
    "qwen4exp",
    "nvfp4",
    "modelopt",
    "moe",
    "vision-language",
    "image-text-to-text",
    "base_model:axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
    "base_model:quantized:axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ]
}
—
Likes
likes
not compared
Hugging Face models0
receipt
Source
Hugging Face models
Last answered
2026-10-02 12:06 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Task
task
Hugging Face modelsimage-text-to-text
receipt
Source
Hugging Face models
Last answered
2026-10-02 12:06 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—

model

axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4
zetlyn/models-hf · 2026-08-26
author axiomofmind downloads 210 gated false licence other likes 0 task image-text-to-text source
axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4
zetlyn/models-hf · 2026-08-26
author axiomofmind downloads 197 gated false licence other likes 0 task image-text-to-text source

quantisation

axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4-GGUF
zetlyn/models-gguf · 2026-08-27
author axiomofmind base axiomofmind/Qwen3.8-Flash-Next-W4A16-NVFP4 downloads 1148 licence other likes 2 source