Total runs:
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Run Growth:
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Growth Rate:
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Sponsored by
APIMart
tensorblock / DeepSeek-R1-DRAFT-Qwen2.5-0.5B-GGUF
Model's Last Updated: January 28 2026
text-generation
Introduction of DeepSeek-R1-DRAFT-Qwen2.5-0.5B-GGUF
Model Details of DeepSeek-R1-DRAFT-Qwen2.5-0.5B-GGUF
Feedback and support: TensorBlock's Twitter/X , Telegram Group and Discord server
alamios/DeepSeek-R1-DRAFT-Qwen2.5-0.5B - GGUF
This repo contains GGUF format model files for alamios/DeepSeek-R1-DRAFT-Qwen2.5-0.5B .
The files were quantized using machines provided by TensorBlock , and they are compatible with llama.cpp as of commit b4823 .
Prompt template
<｜begin▁of▁sentence｜>{system_prompt}<｜User｜>{prompt}<｜Assistant｜><think>
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| DeepSeek-R1-DRAFT-Qwen2.5-0.5B-Q2_K.gguf | Q2_K | 0.339 GB | smallest, significant quality loss - not recommended for most purposes |
| DeepSeek-R1-DRAFT-Qwen2.5-0.5B-Q3_K_S.gguf | Q3_K_S | 0.338 GB | very small, high quality loss |
| DeepSeek-R1-DRAFT-Qwen2.5-0.5B-Q3_K_M.gguf | Q3_K_M | 0.356 GB | very small, high quality loss |
| DeepSeek-R1-DRAFT-Qwen2.5-0.5B-Q3_K_L.gguf | Q3_K_L | 0.369 GB | small, substantial quality loss |
| DeepSeek-R1-DRAFT-Qwen2.5-0.5B-Q4_0.gguf | Q4_0 | 0.352 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| DeepSeek-R1-DRAFT-Qwen2.5-0.5B-Q4_K_S.gguf | Q4_K_S | 0.386 GB | small, greater quality loss |
| DeepSeek-R1-DRAFT-Qwen2.5-0.5B-Q4_K_M.gguf | Q4_K_M | 0.398 GB | medium, balanced quality - recommended |
| DeepSeek-R1-DRAFT-Qwen2.5-0.5B-Q5_0.gguf | Q5_0 | 0.397 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| DeepSeek-R1-DRAFT-Qwen2.5-0.5B-Q5_K_S.gguf | Q5_K_S | 0.413 GB | large, low quality loss - recommended |
| DeepSeek-R1-DRAFT-Qwen2.5-0.5B-Q5_K_M.gguf | Q5_K_M | 0.420 GB | large, very low quality loss - recommended |
| DeepSeek-R1-DRAFT-Qwen2.5-0.5B-Q6_K.gguf | Q6_K | 0.506 GB | very large, extremely low quality loss |
| DeepSeek-R1-DRAFT-Qwen2.5-0.5B-Q8_0.gguf | Q8_0 | 0.531 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/DeepSeek-R1-DRAFT-Qwen2.5-0.5B-GGUF --include "DeepSeek-R1-DRAFT-Qwen2.5-0.5B-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/DeepSeek-R1-DRAFT-Qwen2.5-0.5B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Runs of tensorblock DeepSeek-R1-DRAFT-Qwen2.5-0.5B-GGUF on huggingface.co
181
Total runs
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24-hour runs
-69
3-day runs
-397
7-day runs
-239
30-day runs
More Information About DeepSeek-R1-DRAFT-Qwen2.5-0.5B-GGUF huggingface.co Model
Url of DeepSeek-R1-DRAFT-Qwen2.5-0.5B-GGUF
DeepSeek-R1-DRAFT-Qwen2.5-0.5B-GGUF huggingface.co Url
Provider of DeepSeek-R1-DRAFT-Qwen2.5-0.5B-GGUF huggingface.co
Other API from tensorblock
Updated:July 09 2025
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