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

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

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.

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'