README.md · tensorblock/prithivMLmods_Bootes-Qwen3

prithivMLmods_Bootes-Qwen3_Coder-Reasoning-GGUF / README.md

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	---
	license: apache-2.0
	base_model: prithivMLmods/Bootes-Qwen3_Coder-Reasoning
	datasets:
	- nvidia/OpenCodeReasoning
	- efficientscaling/Z1-Code-Reasoning-107K
	- HuggingFaceH4/CodeAlpaca_20K
	- mlabonne/FineTome-100k
	language:
	- en
	pipeline_tag: text-generation
	library_name: transformers
	tags:
	- moe
	- text-generation-inference
	- code
	- math
	- mot
	- coder
	- stem
	- TensorBlock
	- GGUF
	---

	<div style="width: auto; margin-left: auto; margin-right: auto">
	<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
	</div>

	[![Website](https://img.shields.io/badge/Website-tensorblock.co-blue?logo=google-chrome&logoColor=white)](https://tensorblock.co)
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	## prithivMLmods/Bootes-Qwen3_Coder-Reasoning - GGUF

	<div style="text-align: left; margin: 20px 0;">
	<a href="https://discord.com/invite/Ej5NmeHFf2" style="display: inline-block; padding: 10px 20px; background-color: #5865F2; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
	Join our Discord to learn more about what we're building ↗
	</a>
	</div>

	This repo contains GGUF format model files for [prithivMLmods/Bootes-Qwen3_Coder-Reasoning](https://huggingface.co/prithivMLmods/Bootes-Qwen3_Coder-Reasoning).

	The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5753](https://github.com/ggml-org/llama.cpp/commit/73e53dc834c0a2336cd104473af6897197b96277).

	## Our projects
	<table border="1" cellspacing="0" cellpadding="10">
	<tr>
	<th colspan="2" style="font-size: 25px;">Forge</th>
	</tr>
	<tr>
	<th colspan="2">
	<img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/>
	</th>
	</tr>
	<tr>
	<th colspan="2">An OpenAI-compatible multi-provider routing layer.</th>
	</tr>
	<tr>
	<th colspan="2">
	<a href="https://github.com/TensorBlock/forge" target="_blank" style="
	display: inline-block;
	padding: 8px 16px;
	background-color: #FF7F50;
	color: white;
	text-decoration: none;
	border-radius: 6px;
	font-weight: bold;
	font-family: sans-serif;
	">🚀 Try it now! 🚀</a>
	</th>
	</tr>

	<tr>
	<th style="font-size: 25px;">Awesome MCP Servers</th>
	<th style="font-size: 25px;">TensorBlock Studio</th>
	</tr>
	<tr>
	<th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th>
	<th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th>
	</tr>
	<tr>
	<th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
	<th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
	</tr>
	<tr>
	<th>
	<a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
	display: inline-block;
	padding: 8px 16px;
	background-color: #FF7F50;
	color: white;
	text-decoration: none;
	border-radius: 6px;
	font-weight: bold;
	font-family: sans-serif;
	">👀 See what we built 👀</a>
	</th>
	<th>
	<a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
	display: inline-block;
	padding: 8px 16px;
	background-color: #FF7F50;
	color: white;
	text-decoration: none;
	border-radius: 6px;
	font-weight: bold;
	font-family: sans-serif;
	">👀 See what we built 👀</a>
	</th>
	</tr>
	</table>

	## Prompt template

	```
	<\|im_start\|>system
	{system_prompt}<\|im_end\|>
	<\|im_start\|>user
	{prompt}<\|im_end\|>
	<\|im_start\|>assistant
	```

	## Model file specification

	\| Filename \| Quant type \| File Size \| Description \|
	\| -------- \| ---------- \| --------- \| ----------- \|
	\| [Bootes-Qwen3_Coder-Reasoning-Q2_K.gguf](https://huggingface.co/tensorblock/prithivMLmods_Bootes-Qwen3_Coder-Reasoning-GGUF/blob/main/Bootes-Qwen3_Coder-Reasoning-Q2_K.gguf) \| Q2_K \| 1.670 GB \| smallest, significant quality loss - not recommended for most purposes \|
	\| [Bootes-Qwen3_Coder-Reasoning-Q3_K_S.gguf](https://huggingface.co/tensorblock/prithivMLmods_Bootes-Qwen3_Coder-Reasoning-GGUF/blob/main/Bootes-Qwen3_Coder-Reasoning-Q3_K_S.gguf) \| Q3_K_S \| 1.887 GB \| very small, high quality loss \|
	\| [Bootes-Qwen3_Coder-Reasoning-Q3_K_M.gguf](https://huggingface.co/tensorblock/prithivMLmods_Bootes-Qwen3_Coder-Reasoning-GGUF/blob/main/Bootes-Qwen3_Coder-Reasoning-Q3_K_M.gguf) \| Q3_K_M \| 2.076 GB \| very small, high quality loss \|
	\| [Bootes-Qwen3_Coder-Reasoning-Q3_K_L.gguf](https://huggingface.co/tensorblock/prithivMLmods_Bootes-Qwen3_Coder-Reasoning-GGUF/blob/main/Bootes-Qwen3_Coder-Reasoning-Q3_K_L.gguf) \| Q3_K_L \| 2.240 GB \| small, substantial quality loss \|
	\| [Bootes-Qwen3_Coder-Reasoning-Q4_0.gguf](https://huggingface.co/tensorblock/prithivMLmods_Bootes-Qwen3_Coder-Reasoning-GGUF/blob/main/Bootes-Qwen3_Coder-Reasoning-Q4_0.gguf) \| Q4_0 \| 2.370 GB \| legacy; small, very high quality loss - prefer using Q3_K_M \|
	\| [Bootes-Qwen3_Coder-Reasoning-Q4_K_S.gguf](https://huggingface.co/tensorblock/prithivMLmods_Bootes-Qwen3_Coder-Reasoning-GGUF/blob/main/Bootes-Qwen3_Coder-Reasoning-Q4_K_S.gguf) \| Q4_K_S \| 2.383 GB \| small, greater quality loss \|
	\| [Bootes-Qwen3_Coder-Reasoning-Q4_K_M.gguf](https://huggingface.co/tensorblock/prithivMLmods_Bootes-Qwen3_Coder-Reasoning-GGUF/blob/main/Bootes-Qwen3_Coder-Reasoning-Q4_K_M.gguf) \| Q4_K_M \| 2.497 GB \| medium, balanced quality - recommended \|
	\| [Bootes-Qwen3_Coder-Reasoning-Q5_0.gguf](https://huggingface.co/tensorblock/prithivMLmods_Bootes-Qwen3_Coder-Reasoning-GGUF/blob/main/Bootes-Qwen3_Coder-Reasoning-Q5_0.gguf) \| Q5_0 \| 2.824 GB \| legacy; medium, balanced quality - prefer using Q4_K_M \|
	\| [Bootes-Qwen3_Coder-Reasoning-Q5_K_S.gguf](https://huggingface.co/tensorblock/prithivMLmods_Bootes-Qwen3_Coder-Reasoning-GGUF/blob/main/Bootes-Qwen3_Coder-Reasoning-Q5_K_S.gguf) \| Q5_K_S \| 2.824 GB \| large, low quality loss - recommended \|
	\| [Bootes-Qwen3_Coder-Reasoning-Q5_K_M.gguf](https://huggingface.co/tensorblock/prithivMLmods_Bootes-Qwen3_Coder-Reasoning-GGUF/blob/main/Bootes-Qwen3_Coder-Reasoning-Q5_K_M.gguf) \| Q5_K_M \| 2.890 GB \| large, very low quality loss - recommended \|
	\| [Bootes-Qwen3_Coder-Reasoning-Q6_K.gguf](https://huggingface.co/tensorblock/prithivMLmods_Bootes-Qwen3_Coder-Reasoning-GGUF/blob/main/Bootes-Qwen3_Coder-Reasoning-Q6_K.gguf) \| Q6_K \| 3.306 GB \| very large, extremely low quality loss \|
	\| [Bootes-Qwen3_Coder-Reasoning-Q8_0.gguf](https://huggingface.co/tensorblock/prithivMLmods_Bootes-Qwen3_Coder-Reasoning-GGUF/blob/main/Bootes-Qwen3_Coder-Reasoning-Q8_0.gguf) \| Q8_0 \| 4.280 GB \| very large, extremely low quality loss - not recommended \|


	## Downloading instruction

	### Command line

	Firstly, install Huggingface Client

	```shell
	pip install -U "huggingface_hub[cli]"
	```

	Then, downoad the individual model file the a local directory

	```shell
	huggingface-cli download tensorblock/prithivMLmods_Bootes-Qwen3_Coder-Reasoning-GGUF --include "Bootes-Qwen3_Coder-Reasoning-Q2_K.gguf" --local-dir MY_LOCAL_DIR
	```

	If you wanna download multiple model files with a pattern (e.g., `Q4_Kgguf`), you can try:

	```shell
	huggingface-cli download tensorblock/prithivMLmods_Bootes-Qwen3_Coder-Reasoning-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='Q4_Kgguf'
	```