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tensorblock/
llamamistral-passthrough-merged-model-GGUF

Name: llamamistral-passthrough-merged-model-GGUF
Availability: InStock

Kiruthikarthi/llamamistral-passthrough-merged-model

mistralai/Mistral-7B-v0.1

TensorBlock

togethercomputer/LLaMA-2-7B-32K

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Kiruthikarthi/llamamistral-passthrough-merged-model - GGUF

This repo contains GGUF format model files for Kiruthikarthi/llamamistral-passthrough-merged-model.

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

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## Prompt template

Model file specification

Filename	Quant type	File Size	Description
llamamistral-passthrough-merged-model-Q2_K.gguf	Q2_K	3.297 GB	smallest, significant quality loss - not recommended for most purposes
llamamistral-passthrough-merged-model-Q3_K_S.gguf	Q3_K_S	3.861 GB	very small, high quality loss
llamamistral-passthrough-merged-model-Q3_K_M.gguf	Q3_K_M	4.298 GB	very small, high quality loss
llamamistral-passthrough-merged-model-Q3_K_L.gguf	Q3_K_L	4.680 GB	small, substantial quality loss
llamamistral-passthrough-merged-model-Q4_0.gguf	Q4_0	5.020 GB	legacy; small, very high quality loss - prefer using Q3_K_M
llamamistral-passthrough-merged-model-Q4_K_S.gguf	Q4_K_S	5.059 GB	small, greater quality loss
llamamistral-passthrough-merged-model-Q4_K_M.gguf	Q4_K_M	5.343 GB	medium, balanced quality - recommended
llamamistral-passthrough-merged-model-Q5_0.gguf	Q5_0	6.111 GB	legacy; medium, balanced quality - prefer using Q4_K_M
llamamistral-passthrough-merged-model-Q5_K_S.gguf	Q5_K_S	6.111 GB	large, low quality loss - recommended
llamamistral-passthrough-merged-model-Q5_K_M.gguf	Q5_K_M	6.277 GB	large, very low quality loss - recommended
llamamistral-passthrough-merged-model-Q6_K.gguf	Q6_K	7.270 GB	very large, extremely low quality loss
llamamistral-passthrough-merged-model-Q8_0.gguf	Q8_0	9.416 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/llamamistral-passthrough-merged-model-GGUF --include "llamamistral-passthrough-merged-model-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/llamamistral-passthrough-merged-model-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'