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Qwen1.5-0.5B-GGUF

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metadata
license: other
license_name: tongyi-qianwen-research
license_link: https://huggingface.co/Qwen/Qwen1.5-0.5B/blob/main/LICENSE
language:
  - en
pipeline_tag: text-generation
tags:
  - pretrained
  - TensorBlock
  - GGUF
base_model: Qwen/Qwen1.5-0.5B
TensorBlock

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Qwen/Qwen1.5-0.5B - GGUF

This repo contains GGUF format model files for Qwen/Qwen1.5-0.5B.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

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
Qwen1.5-0.5B-Q2_K.gguf Q2_K 0.278 GB smallest, significant quality loss - not recommended for most purposes
Qwen1.5-0.5B-Q3_K_S.gguf Q3_K_S 0.310 GB very small, high quality loss
Qwen1.5-0.5B-Q3_K_M.gguf Q3_K_M 0.326 GB very small, high quality loss
Qwen1.5-0.5B-Q3_K_L.gguf Q3_K_L 0.339 GB small, substantial quality loss
Qwen1.5-0.5B-Q4_0.gguf Q4_0 0.368 GB legacy; small, very high quality loss - prefer using Q3_K_M
Qwen1.5-0.5B-Q4_K_S.gguf Q4_K_S 0.369 GB small, greater quality loss
Qwen1.5-0.5B-Q4_K_M.gguf Q4_K_M 0.379 GB medium, balanced quality - recommended
Qwen1.5-0.5B-Q5_0.gguf Q5_0 0.422 GB legacy; medium, balanced quality - prefer using Q4_K_M
Qwen1.5-0.5B-Q5_K_S.gguf Q5_K_S 0.422 GB large, low quality loss - recommended
Qwen1.5-0.5B-Q5_K_M.gguf Q5_K_M 0.428 GB large, very low quality loss - recommended
Qwen1.5-0.5B-Q6_K.gguf Q6_K 0.479 GB very large, extremely low quality loss
Qwen1.5-0.5B-Q8_0.gguf Q8_0 0.619 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/Qwen1.5-0.5B-GGUF --include "Qwen1.5-0.5B-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/Qwen1.5-0.5B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'