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dongyru/Mistral-7B-Claim-Extractor - GGUF

This repo contains GGUF format model files for dongyru/Mistral-7B-Claim-Extractor.

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

Prompt template

<s>[INST] {prompt} [/INST]

Model file specification

Filename Quant type File Size Description
Mistral-7B-Claim-Extractor-Q2_K.gguf Q2_K 2.719 GB smallest, significant quality loss - not recommended for most purposes
Mistral-7B-Claim-Extractor-Q3_K_S.gguf Q3_K_S 3.165 GB very small, high quality loss
Mistral-7B-Claim-Extractor-Q3_K_M.gguf Q3_K_M 3.519 GB very small, high quality loss
Mistral-7B-Claim-Extractor-Q3_K_L.gguf Q3_K_L 3.822 GB small, substantial quality loss
Mistral-7B-Claim-Extractor-Q4_0.gguf Q4_0 4.109 GB legacy; small, very high quality loss - prefer using Q3_K_M
Mistral-7B-Claim-Extractor-Q4_K_S.gguf Q4_K_S 4.140 GB small, greater quality loss
Mistral-7B-Claim-Extractor-Q4_K_M.gguf Q4_K_M 4.368 GB medium, balanced quality - recommended
Mistral-7B-Claim-Extractor-Q5_0.gguf Q5_0 4.998 GB legacy; medium, balanced quality - prefer using Q4_K_M
Mistral-7B-Claim-Extractor-Q5_K_S.gguf Q5_K_S 4.998 GB large, low quality loss - recommended
Mistral-7B-Claim-Extractor-Q5_K_M.gguf Q5_K_M 5.131 GB large, very low quality loss - recommended
Mistral-7B-Claim-Extractor-Q6_K.gguf Q6_K 5.942 GB very large, extremely low quality loss
Mistral-7B-Claim-Extractor-Q8_0.gguf Q8_0 7.696 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/Mistral-7B-Claim-Extractor-GGUF --include "Mistral-7B-Claim-Extractor-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/Mistral-7B-Claim-Extractor-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
158
GGUF
Model size
7.24B params
Architecture
llama

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Inference API
Unable to determine this model's library. Check the docs .

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