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ibm-granite/granite-3b-code-instruct-2k - GGUF

This repo contains GGUF format model files for ibm-granite/granite-3b-code-instruct-2k.

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

Prompt template

System:
{system_prompt}

Question:
{prompt}

Answer:

Model file specification

Filename Quant type File Size Description
granite-3b-code-instruct-2k-Q2_K.gguf Q2_K 1.247 GB smallest, significant quality loss - not recommended for most purposes
granite-3b-code-instruct-2k-Q3_K_S.gguf Q3_K_S 1.445 GB very small, high quality loss
granite-3b-code-instruct-2k-Q3_K_M.gguf Q3_K_M 1.608 GB very small, high quality loss
granite-3b-code-instruct-2k-Q3_K_L.gguf Q3_K_L 1.747 GB small, substantial quality loss
granite-3b-code-instruct-2k-Q4_0.gguf Q4_0 1.860 GB legacy; small, very high quality loss - prefer using Q3_K_M
granite-3b-code-instruct-2k-Q4_K_S.gguf Q4_K_S 1.875 GB small, greater quality loss
granite-3b-code-instruct-2k-Q4_K_M.gguf Q4_K_M 1.986 GB medium, balanced quality - recommended
granite-3b-code-instruct-2k-Q5_0.gguf Q5_0 2.251 GB legacy; medium, balanced quality - prefer using Q4_K_M
granite-3b-code-instruct-2k-Q5_K_S.gguf Q5_K_S 2.251 GB large, low quality loss - recommended
granite-3b-code-instruct-2k-Q5_K_M.gguf Q5_K_M 2.316 GB large, very low quality loss - recommended
granite-3b-code-instruct-2k-Q6_K.gguf Q6_K 2.666 GB very large, extremely low quality loss
granite-3b-code-instruct-2k-Q8_0.gguf Q8_0 3.451 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-3b-code-instruct-2k-GGUF --include "granite-3b-code-instruct-2k-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-3b-code-instruct-2k-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
211
GGUF
Model size
3.48B params
Architecture
llama

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Inference Examples
Inference API (serverless) has been turned off for this model.

Model tree for tensorblock/granite-3b-code-instruct-2k-GGUF

Datasets used to train tensorblock/granite-3b-code-instruct-2k-GGUF

Evaluation results