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devquasar/qwen.qwen3-0.6b-gguf Q5_K_S GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

devquasar/qwen.qwen3-0.6b-gguf overview

Comprehensive model page for devquasar/qwen.qwen3-0.6b-gguf

gguftext-generationbase_model:Qwen/Qwen3-0.6Bbase_model:quantized:Qwen/Qwen3-0.6Bendpoints_compatibleregion:usconversational
devquasar/qwen.qwen3-0.6b-gguf visual
Downloads
125
Likes
1
Pipeline
text-generation
Library
Visibility
Public
Access
Open

Repository Files & Downloads

11 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Qwen.Qwen3-0.6B.Q2_K.gguf GGUF Q2_K 331.20 MB Download
Qwen.Qwen3-0.6B.Q3_K_L.gguf GGUF Q3_K_L 415.18 MB Download
Qwen.Qwen3-0.6B.Q3_K_M.gguf GGUF Q3_K_M 394.80 MB Download
Qwen.Qwen3-0.6B.Q3_K_S.gguf GGUF Q3_K_S 371.86 MB Download
Qwen.Qwen3-0.6B.Q4_K_M.gguf GGUF Q4_K_M 461.79 MB Download
Qwen.Qwen3-0.6B.Q4_K_S.gguf GGUF Q4_K_S 448.98 MB Download
Qwen.Qwen3-0.6B.Q5_K_M.gguf GGUF Q5_K_M 525.84 MB Download
Qwen.Qwen3-0.6B.Q5_K_S.gguf GGUF Q5_K_S 518.40 MB Download
Qwen.Qwen3-0.6B.Q6_K.gguf GGUF Q6_K 593.88 MB Download
Qwen.Qwen3-0.6B.Q8_0.gguf GGUF 767.47 MB Download
Qwen.Qwen3-0.6B.f16.gguf GGUF F16 1.41 GB Download

Model Details Live

Model Slug
devquasar/qwen.qwen3-0.6b-gguf
Author
DevQuasar
Pipeline Task
text-generation
Library
Created
2025-04-28
Last Modified
2025-05-04
Gated
No
Private
No
HF SHA
1c0bf4f3d1359896b2ccfde2ae4e35b6ffbb45f5
License
Unknown
Language
Unknown
Base Model
Qwen/Qwen3-0.6B

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": [
      "Qwen/Qwen3-0.6B"
    ],
    "pipeline_tag": "text-generation",
    "frontmatter": {
      "base_model": [
        "Qwen/Qwen3-0.6B"
      ],
      "pipeline_tag": "text-generation"
    },
    "hero_image_url": "https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png",
    "summary": "",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model:\n- Qwen/Qwen3-0.6B\npipeline_tag: text-generation\n---\n\n## LMStudio users!\nPlease update the chat prompt template of the model. Go to My models -> Actions (gear) edit model default parameters ->\nPrompt -> Prompt template. Update the Jinja template.\n\nCorrect JINJA:\n```\n{%- 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    {%- set tool_start = \"<tool_response>\" %}\n    {%- set tool_start_length = tool_start|length %}\n    {%- set start_of_message = message.content[:tool_start_length] %}\n    {%- set tool_end = \"</tool_response>\" %}\n    {%- set tool_end_length = tool_end|length %}\n    {%- set start_pos = (message.content|length) - tool_end_length %}\n    {%- if start_pos < 0 %}\n        {%- set start_pos = 0 %}\n    {%- endif %}\n    {%- set end_of_message = message.content[start_pos:] %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(start_of_message == tool_start and end_of_message == tool_end) %}\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.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = (message.content.split('</think>')|last).lstrip('\\n') %}\n        {%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\\n') %}\n        {%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\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    {%- 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        {{- message.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 %}\n```\n\n[<img src=\"https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png\" width=\"200\"/>](https://devquasar.com)\n\nQuantized version of: [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B)\n\n'Make knowledge free for everyone'\n\n<p align=\"center\">\n  Made with <br>\n  <a href=\"https://www.civo.com/\" target=\"_blank\">\n    <img src=\"https://www.civo.com/assets/public/brand-assets/civo-logo-colour-60cc1622dedf346f7afde1fff760523f731b0aac106a5465af98ff4073114b74.svg\" width=\"100\"/>\n  </a>\n</p>\n\n<a href='https://ko-fi.com/L4L416YX7C' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi6.png?v=6' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "text-generation",
    "base_model:Qwen/Qwen3-0.6B",
    "base_model:quantized:Qwen/Qwen3-0.6B",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 125,
  "gated": false,
  "private": false,
  "last_modified": "2025-05-04T04:40:24.000Z",
  "created_at": "2025-04-28T23:20:40.000Z",
  "pipeline_tag": "text-generation",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "68100d48611b27241b7d5185",
  "id": "DevQuasar/Qwen.Qwen3-0.6B-GGUF",
  "modelId": "DevQuasar/Qwen.Qwen3-0.6B-GGUF",
  "sha": "1c0bf4f3d1359896b2ccfde2ae4e35b6ffbb45f5",
  "createdAt": "2025-04-28T23:20:40.000Z",
  "lastModified": "2025-05-04T04:40:24.000Z",
  "author": "DevQuasar",
  "downloads": 125,
  "likes": 1,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "",
  "siblings_count": 13
}