Hugging Face's logo

tensorblock
/
Qwen2.5-Coder-3B-GGUF

Transformers
GGUF
English
unsloth
code
qwen
qwen-coder
codeqwen
TensorBlock
GGUF
Inference Endpoints
Model card Files Community
Qwen2.5-Coder-3B-GGUF / README.md
morriszms's picture
morriszms
Upload folder using huggingface_hub
d11bdf1 verified
preview code
|
raw
history blame contribute delete
4.7 kB
metadata
base_model: unsloth/Qwen2.5-Coder-3B
language:
  - en
library_name: transformers
license: apache-2.0
tags:
  - unsloth
  - transformers
  - code
  - qwen
  - qwen-coder
  - codeqwen
  - TensorBlock
  - GGUF
TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

unsloth/Qwen2.5-Coder-3B - GGUF

This repo contains GGUF format model files for unsloth/Qwen2.5-Coder-3B.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Prompt template

Model file specification

Filename Quant type File Size Description
Qwen2.5-Coder-3B-Q2_K.gguf Q2_K 1.275 GB smallest, significant quality loss - not recommended for most purposes
Qwen2.5-Coder-3B-Q3_K_S.gguf Q3_K_S 1.454 GB very small, high quality loss
Qwen2.5-Coder-3B-Q3_K_M.gguf Q3_K_M 1.590 GB very small, high quality loss
Qwen2.5-Coder-3B-Q3_K_L.gguf Q3_K_L 1.707 GB small, substantial quality loss
Qwen2.5-Coder-3B-Q4_0.gguf Q4_0 1.823 GB legacy; small, very high quality loss - prefer using Q3_K_M
Qwen2.5-Coder-3B-Q4_K_S.gguf Q4_K_S 1.834 GB small, greater quality loss
Qwen2.5-Coder-3B-Q4_K_M.gguf Q4_K_M 1.930 GB medium, balanced quality - recommended
Qwen2.5-Coder-3B-Q5_0.gguf Q5_0 2.170 GB legacy; medium, balanced quality - prefer using Q4_K_M
Qwen2.5-Coder-3B-Q5_K_S.gguf Q5_K_S 2.170 GB large, low quality loss - recommended
Qwen2.5-Coder-3B-Q5_K_M.gguf Q5_K_M 2.225 GB large, very low quality loss - recommended
Qwen2.5-Coder-3B-Q6_K.gguf Q6_K 2.538 GB very large, extremely low quality loss
Qwen2.5-Coder-3B-Q8_0.gguf Q8_0 3.285 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/Qwen2.5-Coder-3B-GGUF --include "Qwen2.5-Coder-3B-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/Qwen2.5-Coder-3B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'