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metadata
library_name: transformers
tags:
  - TensorBlock
  - GGUF
base_model: hyper-accel/tiny-random-mistral
TensorBlock

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hyper-accel/tiny-random-mistral - GGUF

This repo contains GGUF format model files for hyper-accel/tiny-random-mistral.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4882.

Prompt template 

Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.

Model file specification

Filename Quant type File Size Description
tiny-random-mistral-Q2_K.gguf Q2_K 0.022 GB smallest, significant quality loss - not recommended for most purposes
tiny-random-mistral-Q3_K_S.gguf Q3_K_S 0.024 GB very small, high quality loss
tiny-random-mistral-Q3_K_M.gguf Q3_K_M 0.025 GB very small, high quality loss
tiny-random-mistral-Q3_K_L.gguf Q3_K_L 0.025 GB small, substantial quality loss
tiny-random-mistral-Q4_0.gguf Q4_0 0.028 GB legacy; small, very high quality loss - prefer using Q3_K_M
tiny-random-mistral-Q4_K_S.gguf Q4_K_S 0.028 GB small, greater quality loss
tiny-random-mistral-Q4_K_M.gguf Q4_K_M 0.028 GB medium, balanced quality - recommended
tiny-random-mistral-Q5_0.gguf Q5_0 0.031 GB legacy; medium, balanced quality - prefer using Q4_K_M
tiny-random-mistral-Q5_K_S.gguf Q5_K_S 0.031 GB large, low quality loss - recommended
tiny-random-mistral-Q5_K_M.gguf Q5_K_M 0.031 GB large, very low quality loss - recommended
tiny-random-mistral-Q6_K.gguf Q6_K 0.034 GB very large, extremely low quality loss
tiny-random-mistral-Q8_0.gguf Q8_0 0.044 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/tiny-random-mistral-GGUF --include "tiny-random-mistral-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/tiny-random-mistral-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'