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Qwen2.5-Aloe-Beta-7B-GGUF

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metadata
license: apache-2.0
datasets:
  - HPAI-BSC/Aloe-Beta-General-Collection
  - HPAI-BSC/chain-of-diagnosis
  - HPAI-BSC/MedS-Ins
  - HPAI-BSC/ultramedical
  - HPAI-BSC/pubmedqa-cot-llama31
  - HPAI-BSC/medqa-cot-llama31
  - HPAI-BSC/medmcqa-cot-llama31
  - HPAI-BSC/headqa-cot-llama31
  - HPAI-BSC/MMLU-medical-cot-llama31
  - HPAI-BSC/Polymed-QA
  - HPAI-BSC/Aloe-Beta-General-Collection
  - HPAI-BSC/Aloe-Beta-General-Collection
language:
  - en
library_name: transformers
tags:
  - biology
  - medical
  - healthcare
  - TensorBlock
  - GGUF
pipeline_tag: question-answering
base_model: HPAI-BSC/Qwen2.5-Aloe-Beta-7B
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HPAI-BSC/Qwen2.5-Aloe-Beta-7B - GGUF

This repo contains GGUF format model files for HPAI-BSC/Qwen2.5-Aloe-Beta-7B.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4823.

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
Qwen2.5-Aloe-Beta-7B-Q2_K.gguf Q2_K 3.016 GB smallest, significant quality loss - not recommended for most purposes
Qwen2.5-Aloe-Beta-7B-Q3_K_S.gguf Q3_K_S 3.492 GB very small, high quality loss
Qwen2.5-Aloe-Beta-7B-Q3_K_M.gguf Q3_K_M 3.808 GB very small, high quality loss
Qwen2.5-Aloe-Beta-7B-Q3_K_L.gguf Q3_K_L 4.088 GB small, substantial quality loss
Qwen2.5-Aloe-Beta-7B-Q4_0.gguf Q4_0 4.431 GB legacy; small, very high quality loss - prefer using Q3_K_M
Qwen2.5-Aloe-Beta-7B-Q4_K_S.gguf Q4_K_S 4.458 GB small, greater quality loss
Qwen2.5-Aloe-Beta-7B-Q4_K_M.gguf Q4_K_M 4.683 GB medium, balanced quality - recommended
Qwen2.5-Aloe-Beta-7B-Q5_0.gguf Q5_0 5.315 GB legacy; medium, balanced quality - prefer using Q4_K_M
Qwen2.5-Aloe-Beta-7B-Q5_K_S.gguf Q5_K_S 5.315 GB large, low quality loss - recommended
Qwen2.5-Aloe-Beta-7B-Q5_K_M.gguf Q5_K_M 5.445 GB large, very low quality loss - recommended
Qwen2.5-Aloe-Beta-7B-Q6_K.gguf Q6_K 6.254 GB very large, extremely low quality loss
Qwen2.5-Aloe-Beta-7B-Q8_0.gguf Q8_0 8.099 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-Aloe-Beta-7B-GGUF --include "Qwen2.5-Aloe-Beta-7B-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-Aloe-Beta-7B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'