tensorblock/QwQ-Math-IO-500M-GGUF
1127
1---2license: apache-2.03language:4- en5base_model: prithivMLmods/QwQ-Math-IO-500M6pipeline_tag: text-generation7library_name: transformers8tags:9- qwq10- reasoning11- TensorBlock12- GGUF13---14 15<div style="width: auto; margin-left: auto; margin-right: auto">16<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">17</div>18 19[](https://tensorblock.co)20[](https://twitter.com/tensorblock_aoi)21[](https://discord.gg/Ej5NmeHFf2)22[](https://github.com/TensorBlock)23[](https://t.me/TensorBlock)24 25 26## prithivMLmods/QwQ-Math-IO-500M - GGUF27 28This repo contains GGUF format model files for [prithivMLmods/QwQ-Math-IO-500M](https://huggingface.co/prithivMLmods/QwQ-Math-IO-500M).29 30The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4823](https://github.com/ggml-org/llama.cpp/commit/5bbe6a9fe9a8796a9389c85accec89dbc4d91e39).31 32## Our projects33<table border="1" cellspacing="0" cellpadding="10">34 <tr>35 <th colspan="2" style="font-size: 25px;">Forge</th>36 </tr>37 <tr>38 <th colspan="2">39 <img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/>40 </th>41 </tr>42 <tr>43 <th colspan="2">An OpenAI-compatible multi-provider routing layer.</th>44 </tr>45 <tr>46 <th colspan="2">47 <a href="https://github.com/TensorBlock/forge" target="_blank" style="48 display: inline-block;49 padding: 8px 16px;50 background-color: #FF7F50;51 color: white;52 text-decoration: none;53 border-radius: 6px;54 font-weight: bold;55 font-family: sans-serif;56 ">🚀 Try it now! 🚀</a>57 </th>58 </tr>59 60 <tr>61 <th style="font-size: 25px;">Awesome MCP Servers</th>62 <th style="font-size: 25px;">TensorBlock Studio</th>63 </tr>64 <tr>65 <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th>66 <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th>67 </tr>68 <tr>69 <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>70 <th>A lightweight, open, and extensible multi-LLM interaction studio.</th>71 </tr>72 <tr>73 <th>74 <a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="75 display: inline-block;76 padding: 8px 16px;77 background-color: #FF7F50;78 color: white;79 text-decoration: none;80 border-radius: 6px;81 font-weight: bold;82 font-family: sans-serif;83 ">👀 See what we built 👀</a>84 </th>85 <th>86 <a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="87 display: inline-block;88 padding: 8px 16px;89 background-color: #FF7F50;90 color: white;91 text-decoration: none;92 border-radius: 6px;93 font-weight: bold;94 font-family: sans-serif;95 ">👀 See what we built 👀</a>96 </th>97 </tr>98</table>99## Prompt template100 101```102<|im_start|>system103{system_prompt}<|im_end|>104<|im_start|>user105{prompt}<|im_end|>106<|im_start|>assistant107```108 109## Model file specification110 111| Filename | Quant type | File Size | Description |112| -------- | ---------- | --------- | ----------- |113| [QwQ-Math-IO-500M-Q2_K.gguf](https://huggingface.co/tensorblock/QwQ-Math-IO-500M-GGUF/blob/main/QwQ-Math-IO-500M-Q2_K.gguf) | Q2_K | 0.339 GB | smallest, significant quality loss - not recommended for most purposes |114| [QwQ-Math-IO-500M-Q3_K_S.gguf](https://huggingface.co/tensorblock/QwQ-Math-IO-500M-GGUF/blob/main/QwQ-Math-IO-500M-Q3_K_S.gguf) | Q3_K_S | 0.338 GB | very small, high quality loss |115| [QwQ-Math-IO-500M-Q3_K_M.gguf](https://huggingface.co/tensorblock/QwQ-Math-IO-500M-GGUF/blob/main/QwQ-Math-IO-500M-Q3_K_M.gguf) | Q3_K_M | 0.355 GB | very small, high quality loss |116| [QwQ-Math-IO-500M-Q3_K_L.gguf](https://huggingface.co/tensorblock/QwQ-Math-IO-500M-GGUF/blob/main/QwQ-Math-IO-500M-Q3_K_L.gguf) | Q3_K_L | 0.369 GB | small, substantial quality loss |117| [QwQ-Math-IO-500M-Q4_0.gguf](https://huggingface.co/tensorblock/QwQ-Math-IO-500M-GGUF/blob/main/QwQ-Math-IO-500M-Q4_0.gguf) | Q4_0 | 0.352 GB | legacy; small, very high quality loss - prefer using Q3_K_M |118| [QwQ-Math-IO-500M-Q4_K_S.gguf](https://huggingface.co/tensorblock/QwQ-Math-IO-500M-GGUF/blob/main/QwQ-Math-IO-500M-Q4_K_S.gguf) | Q4_K_S | 0.385 GB | small, greater quality loss |119| [QwQ-Math-IO-500M-Q4_K_M.gguf](https://huggingface.co/tensorblock/QwQ-Math-IO-500M-GGUF/blob/main/QwQ-Math-IO-500M-Q4_K_M.gguf) | Q4_K_M | 0.398 GB | medium, balanced quality - recommended |120| [QwQ-Math-IO-500M-Q5_0.gguf](https://huggingface.co/tensorblock/QwQ-Math-IO-500M-GGUF/blob/main/QwQ-Math-IO-500M-Q5_0.gguf) | Q5_0 | 0.397 GB | legacy; medium, balanced quality - prefer using Q4_K_M |121| [QwQ-Math-IO-500M-Q5_K_S.gguf](https://huggingface.co/tensorblock/QwQ-Math-IO-500M-GGUF/blob/main/QwQ-Math-IO-500M-Q5_K_S.gguf) | Q5_K_S | 0.413 GB | large, low quality loss - recommended |122| [QwQ-Math-IO-500M-Q5_K_M.gguf](https://huggingface.co/tensorblock/QwQ-Math-IO-500M-GGUF/blob/main/QwQ-Math-IO-500M-Q5_K_M.gguf) | Q5_K_M | 0.420 GB | large, very low quality loss - recommended |123| [QwQ-Math-IO-500M-Q6_K.gguf](https://huggingface.co/tensorblock/QwQ-Math-IO-500M-GGUF/blob/main/QwQ-Math-IO-500M-Q6_K.gguf) | Q6_K | 0.506 GB | very large, extremely low quality loss |124| [QwQ-Math-IO-500M-Q8_0.gguf](https://huggingface.co/tensorblock/QwQ-Math-IO-500M-GGUF/blob/main/QwQ-Math-IO-500M-Q8_0.gguf) | Q8_0 | 0.531 GB | very large, extremely low quality loss - not recommended |125 126 127## Downloading instruction128 129### Command line130 131Firstly, install Huggingface Client132 133```shell134pip install -U "huggingface_hub[cli]"135```136 137Then, downoad the individual model file the a local directory138 139```shell140huggingface-cli download tensorblock/QwQ-Math-IO-500M-GGUF --include "QwQ-Math-IO-500M-Q2_K.gguf" --local-dir MY_LOCAL_DIR141```142 143If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:144 145```shell146huggingface-cli download tensorblock/QwQ-Math-IO-500M-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'147```148