RoguePlanet-DeepSeek-R1-Qwen-32B-GGUF

tensorblock/RoguePlanet-DeepSeek-R1-Qwen-32B-GGUF

RoguePlanet-DeepSeek-R1-Qwen-32B-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.

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Downloads · 30 days

5% of all-time downloads

All-time downloads

1.6K

Public

Repo size

247 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf12.3 GB · 100%

At a glance

Task: Text Generation
Library: transformers
License: apache-2.0
Access: Public
Created: Mar 7, 2025
Updated: Jan 27, 2026
SHA: 8e6d0bc3

Base models

nitky/RoguePlanet-DeepSeek-R1-Qwen-32B

Model card

From the Hugging Face model README

nitky/RoguePlanet-DeepSeek-R1-Qwen-32B - GGUF

This repo contains GGUF format model files for nitky/RoguePlanet-DeepSeek-R1-Qwen-32B.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4823.

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

<｜begin▁of▁sentence｜>{system_prompt}<｜User｜>{prompt}<｜Assistant｜>

Model file specification

Filename	Quant type	File Size	Description
RoguePlanet-DeepSeek-R1-Qwen-32B-Q2_K.gguf	Q2_K	12.313 GB	smallest, significant quality loss - not recommended for most purposes
RoguePlanet-DeepSeek-R1-Qwen-32B-Q3_K_S.gguf	Q3_K_S	14.392 GB	very small, high quality loss
RoguePlanet-DeepSeek-R1-Qwen-32B-Q3_K_M.gguf	Q3_K_M	15.935 GB	very small, high quality loss
RoguePlanet-DeepSeek-R1-Qwen-32B-Q3_K_L.gguf	Q3_K_L	17.247 GB	small, substantial quality loss
RoguePlanet-DeepSeek-R1-Qwen-32B-Q4_0.gguf	Q4_0	18.640 GB	legacy; small, very high quality loss - prefer using Q3_K_M
RoguePlanet-DeepSeek-R1-Qwen-32B-Q4_K_S.gguf	Q4_K_S	18.784 GB	small, greater quality loss
RoguePlanet-DeepSeek-R1-Qwen-32B-Q4_K_M.gguf	Q4_K_M	19.851 GB	medium, balanced quality - recommended
RoguePlanet-DeepSeek-R1-Qwen-32B-Q5_0.gguf	Q5_0	22.638 GB	legacy; medium, balanced quality - prefer using Q4_K_M
RoguePlanet-DeepSeek-R1-Qwen-32B-Q5_K_S.gguf	Q5_K_S	22.638 GB	large, low quality loss - recommended
RoguePlanet-DeepSeek-R1-Qwen-32B-Q5_K_M.gguf	Q5_K_M	23.262 GB	large, very low quality loss - recommended
RoguePlanet-DeepSeek-R1-Qwen-32B-Q6_K.gguf	Q6_K	26.886 GB	very large, extremely low quality loss
RoguePlanet-DeepSeek-R1-Qwen-32B-Q8_0.gguf	Q8_0	34.821 GB	very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/RoguePlanet-DeepSeek-R1-Qwen-32B-GGUF --include "RoguePlanet-DeepSeek-R1-Qwen-32B-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/RoguePlanet-DeepSeek-R1-Qwen-32B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Task: Text Generation
Library: transformers
License: apache-2.0
Languages: ja
Created: Mar 7, 2025
Updated: Jan 27, 2026