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openbuddy-mistral-22b-v21.1-32k-GGUF

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metadata
license: apache-2.0
language:
  - zh
  - en
  - fr
  - de
  - ja
  - ko
  - it
  - ru
  - fi
pipeline_tag: text-generation
inference: false
library_name: transformers
tags:
  - mixtral
  - TensorBlock
  - GGUF
base_model: OpenBuddy/openbuddy-mistral-22b-v21.1-32k
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OpenBuddy/openbuddy-mistral-22b-v21.1-32k - GGUF

This repo contains GGUF format model files for OpenBuddy/openbuddy-mistral-22b-v21.1-32k.

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

Prompt template 

<|role|>system<|says|>{system_prompt}<|end|>
<|role|>user<|says|>{prompt}<|end|>
<|role|>assistant<|says|>

Model file specification

Filename Quant type File Size Description
openbuddy-mistral-22b-v21.1-32k-Q2_K.gguf Q2_K 7.761 GB smallest, significant quality loss - not recommended for most purposes
openbuddy-mistral-22b-v21.1-32k-Q3_K_S.gguf Q3_K_S 9.042 GB very small, high quality loss
openbuddy-mistral-22b-v21.1-32k-Q3_K_M.gguf Q3_K_M 10.080 GB very small, high quality loss
openbuddy-mistral-22b-v21.1-32k-Q3_K_L.gguf Q3_K_L 10.987 GB small, substantial quality loss
openbuddy-mistral-22b-v21.1-32k-Q4_0.gguf Q4_0 11.775 GB legacy; small, very high quality loss - prefer using Q3_K_M
openbuddy-mistral-22b-v21.1-32k-Q4_K_S.gguf Q4_K_S 11.860 GB small, greater quality loss
openbuddy-mistral-22b-v21.1-32k-Q4_K_M.gguf Q4_K_M 12.494 GB medium, balanced quality - recommended
openbuddy-mistral-22b-v21.1-32k-Q5_0.gguf Q5_0 14.348 GB legacy; medium, balanced quality - prefer using Q4_K_M
openbuddy-mistral-22b-v21.1-32k-Q5_K_S.gguf Q5_K_S 14.348 GB large, low quality loss - recommended
openbuddy-mistral-22b-v21.1-32k-Q5_K_M.gguf Q5_K_M 14.718 GB large, very low quality loss - recommended
openbuddy-mistral-22b-v21.1-32k-Q6_K.gguf Q6_K 17.081 GB very large, extremely low quality loss
openbuddy-mistral-22b-v21.1-32k-Q8_0.gguf Q8_0 22.123 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/openbuddy-mistral-22b-v21.1-32k-GGUF --include "openbuddy-mistral-22b-v21.1-32k-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/openbuddy-mistral-22b-v21.1-32k-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'