devquasar/qwen.qwen3-1.7b-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.
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devquasar/qwen.qwen3-1.7b-gguf overview
Comprehensive model page for devquasar/qwen.qwen3-1.7b-gguf
Downloads
2,319
Likes
0
Pipeline
text-generation
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
11 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen.Qwen3-1.7B.Q2_K.gguf | GGUF | Q2_K | 839.13 MB | Download |
| Qwen.Qwen3-1.7B.Q3_K_L.gguf | GGUF | Q3_K_L | 1.06 GB | Download |
| Qwen.Qwen3-1.7B.Q3_K_M.gguf | GGUF | Q3_K_M | 1023.52 MB | Download |
| Qwen.Qwen3-1.7B.Q3_K_S.gguf | GGUF | Q3_K_S | 954.59 MB | Download |
| Qwen.Qwen3-1.7B.Q4_K_M.gguf | GGUF | Q4_K_M | 1.19 GB | Download |
| Qwen.Qwen3-1.7B.Q4_K_S.gguf | GGUF | Q4_K_S | 1.15 GB | Download |
| Qwen.Qwen3-1.7B.Q5_K_M.gguf | GGUF | Q5_K_M | 1.37 GB | Download |
| Qwen.Qwen3-1.7B.Q5_K_S.gguf | GGUF | Q5_K_S | 1.35 GB | Download |
| Qwen.Qwen3-1.7B.Q6_K.gguf | GGUF | Q6_K | 1.56 GB | Download |
| Qwen.Qwen3-1.7B.Q8_0.gguf | GGUF | — | 2.02 GB | Download |
| Qwen.Qwen3-1.7B.f16.gguf | GGUF | F16 | 3.79 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": [
"Qwen/Qwen3-1.7B"
],
"pipeline_tag": "text-generation",
"frontmatter": {
"base_model": [
"Qwen/Qwen3-1.7B"
],
"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/Qwen3-1.7B\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/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B)\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/Qwen3-1.7B",
"base_model:quantized:Qwen/Qwen3-1.7B",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 2319,
"gated": false,
"private": false,
"last_modified": "2025-05-04T04:41:55.000Z",
"created_at": "2025-04-29T11:54:04.000Z",
"pipeline_tag": "text-generation",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "6810bddcfff19529a93a0fc2",
"id": "DevQuasar/Qwen.Qwen3-1.7B-GGUF",
"modelId": "DevQuasar/Qwen.Qwen3-1.7B-GGUF",
"sha": "7ec14a07816e68e98aca86594b4203d951c4f16a",
"createdAt": "2025-04-29T11:54:04.000Z",
"lastModified": "2025-05-04T04:41:55.000Z",
"author": "DevQuasar",
"downloads": 2319,
"likes": 0,
"gated": false,
"private": false,
"pipeline_tag": "text-generation",
"library_name": "",
"siblings_count": 13
}