Hugging Face's logo

tensorblock
/
Qwen2.5-1.5B-GGUF

Transformers
GGUF
English
unsloth
TensorBlock
GGUF
Inference Endpoints
Model card Files Community
Qwen2.5-1.5B-GGUF / README.md
morriszms's picture
morriszms
Upload folder using huggingface_hub
5ccac8e verified
preview code
|
raw
history blame contribute delete
4.49 kB
metadata
base_model: unsloth/Qwen2.5-1.5B
language:
  - en
library_name: transformers
license: apache-2.0
tags:
  - unsloth
  - transformers
  - TensorBlock
  - GGUF
TensorBlock

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

unsloth/Qwen2.5-1.5B - GGUF

This repo contains GGUF format model files for unsloth/Qwen2.5-1.5B.

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

Prompt template

Model file specification

Filename Quant type File Size Description
Qwen2.5-1.5B-Q2_K.gguf Q2_K 0.676 GB smallest, significant quality loss - not recommended for most purposes
Qwen2.5-1.5B-Q3_K_S.gguf Q3_K_S 0.761 GB very small, high quality loss
Qwen2.5-1.5B-Q3_K_M.gguf Q3_K_M 0.824 GB very small, high quality loss
Qwen2.5-1.5B-Q3_K_L.gguf Q3_K_L 0.880 GB small, substantial quality loss
Qwen2.5-1.5B-Q4_0.gguf Q4_0 0.935 GB legacy; small, very high quality loss - prefer using Q3_K_M
Qwen2.5-1.5B-Q4_K_S.gguf Q4_K_S 0.940 GB small, greater quality loss
Qwen2.5-1.5B-Q4_K_M.gguf Q4_K_M 0.986 GB medium, balanced quality - recommended
Qwen2.5-1.5B-Q5_0.gguf Q5_0 1.099 GB legacy; medium, balanced quality - prefer using Q4_K_M
Qwen2.5-1.5B-Q5_K_S.gguf Q5_K_S 1.099 GB large, low quality loss - recommended
Qwen2.5-1.5B-Q5_K_M.gguf Q5_K_M 1.125 GB large, very low quality loss - recommended
Qwen2.5-1.5B-Q6_K.gguf Q6_K 1.273 GB very large, extremely low quality loss
Qwen2.5-1.5B-Q8_0.gguf Q8_0 1.647 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/Qwen2.5-1.5B-GGUF --include "Qwen2.5-1.5B-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/Qwen2.5-1.5B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'