metadata
license: apache-2.0
thumbnail: >-
https://cdn-uploads.huggingface.co/production/uploads/6625f4a8a8d1362ebcc3851a/hIZ2ZcaDyfYLT9Yd4pfOs.jpeg
language:
- en
base_model: ArliAI/DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small
library_name: transformers
pipeline_tag: text-generation
tags:
- TensorBlock
- GGUF
ArliAI/DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small - GGUF
This repo contains GGUF format model files for ArliAI/DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5753.
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Prompt template
<｜begin▁of▁sentence｜>{system_prompt}<｜User｜>{prompt}<｜Assistant｜>
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-Q2_K.gguf | Q2_K | 3.282 GB | smallest, significant quality loss - not recommended for most purposes |
| DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-Q3_K_S.gguf | Q3_K_S | 3.770 GB | very small, high quality loss |
| DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-Q3_K_M.gguf | Q3_K_M | 4.124 GB | very small, high quality loss |
| DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-Q3_K_L.gguf | Q3_K_L | 4.431 GB | small, substantial quality loss |
| DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-Q4_0.gguf | Q4_0 | 4.775 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-Q4_K_S.gguf | Q4_K_S | 4.802 GB | small, greater quality loss |
| DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-Q4_K_M.gguf | Q4_K_M | 5.028 GB | medium, balanced quality - recommended |
| DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-Q5_0.gguf | Q5_0 | 5.721 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-Q5_K_S.gguf | Q5_K_S | 5.721 GB | large, low quality loss - recommended |
| DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-Q5_K_M.gguf | Q5_K_M | 5.851 GB | large, very low quality loss - recommended |
| DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-Q6_K.gguf | Q6_K | 6.726 GB | very large, extremely low quality loss |
| DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-Q8_0.gguf | Q8_0 | 8.710 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/ArliAI_DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-GGUF --include "DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-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/ArliAI_DS-R1-Qwen3-8B-ArliAI-RpR-v4-Small-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'