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tensorblock/granite-20b-code-base-8k-GGUF

🤗 Hugging Face sourcetext-generationapache-2.020B activated156 GBGGUF✓ 2 checksumsupdated today
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curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo tensorblock/granite-20b-code-base-8k-GGUF ./model-folder
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ibm-granite/granite-20b-code-base-8k - GGUF

This repo contains GGUF format model files for ibm-granite/granite-20b-code-base-8k.

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

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## Prompt template

Model file specification

Filename Quant type File Size Description
granite-20b-code-base-8k-Q2_K.gguf Q2_K 7.385 GB smallest, significant quality loss - not recommended for most purposes
granite-20b-code-base-8k-Q3_K_S.gguf Q3_K_S 8.321 GB very small, high quality loss
granite-20b-code-base-8k-Q3_K_M.gguf Q3_K_M 9.841 GB very small, high quality loss
granite-20b-code-base-8k-Q3_K_L.gguf Q3_K_L 10.930 GB small, substantial quality loss
granite-20b-code-base-8k-Q4_0.gguf Q4_0 10.759 GB legacy; small, very high quality loss - prefer using Q3_K_M
granite-20b-code-base-8k-Q4_K_S.gguf Q4_K_S 10.865 GB small, greater quality loss
granite-20b-code-base-8k-Q4_K_M.gguf Q4_K_M 11.940 GB medium, balanced quality - recommended
granite-20b-code-base-8k-Q5_0.gguf Q5_0 13.054 GB legacy; medium, balanced quality - prefer using Q4_K_M
granite-20b-code-base-8k-Q5_K_S.gguf Q5_K_S 13.054 GB large, low quality loss - recommended
granite-20b-code-base-8k-Q5_K_M.gguf Q5_K_M 13.792 GB large, very low quality loss - recommended
granite-20b-code-base-8k-Q6_K.gguf Q6_K 15.492 GB very large, extremely low quality loss
granite-20b-code-base-8k-Q8_0.gguf Q8_0 20.006 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/granite-20b-code-base-8k-GGUF --include "granite-20b-code-base-8k-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/granite-20b-code-base-8k-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'