metadata
license: apache-2.0
thumbnail: >-
https://cdn-uploads.huggingface.co/production/uploads/6625f4a8a8d1362ebcc3851a/hIZ2ZcaDyfYLT9Yd4pfOs.jpeg
language:
- en
base_model: ArliAI/QwQ-32B-ArliAI-RpR-v4
library_name: transformers
pipeline_tag: text-generation
tags:
- TensorBlock
- GGUF
ArliAI/QwQ-32B-ArliAI-RpR-v4 - GGUF
This repo contains GGUF format model files for ArliAI/QwQ-32B-ArliAI-RpR-v4.
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
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
<think>
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| QwQ-32B-ArliAI-RpR-v4-Q2_K.gguf | Q2_K | 12.313 GB | smallest, significant quality loss - not recommended for most purposes |
| QwQ-32B-ArliAI-RpR-v4-Q3_K_S.gguf | Q3_K_S | 14.392 GB | very small, high quality loss |
| QwQ-32B-ArliAI-RpR-v4-Q3_K_M.gguf | Q3_K_M | 15.935 GB | very small, high quality loss |
| QwQ-32B-ArliAI-RpR-v4-Q3_K_L.gguf | Q3_K_L | 17.247 GB | small, substantial quality loss |
| QwQ-32B-ArliAI-RpR-v4-Q4_0.gguf | Q4_0 | 18.640 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| QwQ-32B-ArliAI-RpR-v4-Q4_K_S.gguf | Q4_K_S | 18.784 GB | small, greater quality loss |
| QwQ-32B-ArliAI-RpR-v4-Q4_K_M.gguf | Q4_K_M | 19.851 GB | medium, balanced quality - recommended |
| QwQ-32B-ArliAI-RpR-v4-Q5_0.gguf | Q5_0 | 22.638 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| QwQ-32B-ArliAI-RpR-v4-Q5_K_S.gguf | Q5_K_S | 22.638 GB | large, low quality loss - recommended |
| QwQ-32B-ArliAI-RpR-v4-Q5_K_M.gguf | Q5_K_M | 23.262 GB | large, very low quality loss - recommended |
| QwQ-32B-ArliAI-RpR-v4-Q6_K.gguf | Q6_K | 26.886 GB | very large, extremely low quality loss |
| QwQ-32B-ArliAI-RpR-v4-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/ArliAI_QwQ-32B-ArliAI-RpR-v4-GGUF --include "QwQ-32B-ArliAI-RpR-v4-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_QwQ-32B-ArliAI-RpR-v4-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'