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dut-recipe-generator-GGUF

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recipe-generation
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dut-recipe-generator-GGUF / README.md
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metadata
license: bigscience-bloom-rail-1.0
tags:
  - bloom
  - text-generation
  - recipe-generation
  - TensorBlock
  - GGUF
widget:
  - text: '{"prompt": ["onion", "pepper", "brown rice", "egg", "soy sauce"]'
  - text: '{"prompt": ["whole wheat flour", "berries", "baking powder", "milk"]'
base_model: Ashikan/dut-recipe-generator
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Ashikan/dut-recipe-generator - GGUF

This repo contains GGUF format model files for Ashikan/dut-recipe-generator.

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

Prompt template

Model file specification

Filename Quant type File Size Description
dut-recipe-generator-Q2_K.gguf Q2_K 0.421 GB smallest, significant quality loss - not recommended for most purposes
dut-recipe-generator-Q3_K_S.gguf Q3_K_S 0.465 GB very small, high quality loss
dut-recipe-generator-Q3_K_M.gguf Q3_K_M 0.492 GB very small, high quality loss
dut-recipe-generator-Q3_K_L.gguf Q3_K_L 0.507 GB small, substantial quality loss
dut-recipe-generator-Q4_0.gguf Q4_0 0.539 GB legacy; small, very high quality loss - prefer using Q3_K_M
dut-recipe-generator-Q4_K_S.gguf Q4_K_S 0.541 GB small, greater quality loss
dut-recipe-generator-Q4_K_M.gguf Q4_K_M 0.561 GB medium, balanced quality - recommended
dut-recipe-generator-Q5_0.gguf Q5_0 0.609 GB legacy; medium, balanced quality - prefer using Q4_K_M
dut-recipe-generator-Q5_K_S.gguf Q5_K_S 0.609 GB large, low quality loss - recommended
dut-recipe-generator-Q5_K_M.gguf Q5_K_M 0.626 GB large, very low quality loss - recommended
dut-recipe-generator-Q6_K.gguf Q6_K 0.683 GB very large, extremely low quality loss
dut-recipe-generator-Q8_0.gguf Q8_0 0.881 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/dut-recipe-generator-GGUF --include "dut-recipe-generator-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/dut-recipe-generator-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'