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ibm-granite/granite-3.0-1b-a400m-instruct - GGUF

This repo contains GGUF format model files for ibm-granite/granite-3.0-1b-a400m-instruct.

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

Prompt template

<|start_of_role|>system<|end_of_role|>{system_prompt}<|end_of_text|>
<|start_of_role|>user<|end_of_role|>{prompt}<|end_of_text|>
<|start_of_role|>assistant<|end_of_role|>

Model file specification

Filename Quant type File Size Description
granite-3.0-1b-a400m-instruct-Q2_K.gguf Q2_K 0.512 GB smallest, significant quality loss - not recommended for most purposes
granite-3.0-1b-a400m-instruct-Q3_K_S.gguf Q3_K_S 0.598 GB very small, high quality loss
granite-3.0-1b-a400m-instruct-Q3_K_M.gguf Q3_K_M 0.659 GB very small, high quality loss
granite-3.0-1b-a400m-instruct-Q3_K_L.gguf Q3_K_L 0.711 GB small, substantial quality loss
granite-3.0-1b-a400m-instruct-Q4_0.gguf Q4_0 0.768 GB legacy; small, very high quality loss - prefer using Q3_K_M
granite-3.0-1b-a400m-instruct-Q4_K_S.gguf Q4_K_S 0.775 GB small, greater quality loss
granite-3.0-1b-a400m-instruct-Q4_K_M.gguf Q4_K_M 0.822 GB medium, balanced quality - recommended
granite-3.0-1b-a400m-instruct-Q5_0.gguf Q5_0 0.929 GB legacy; medium, balanced quality - prefer using Q4_K_M
granite-3.0-1b-a400m-instruct-Q5_K_S.gguf Q5_K_S 0.929 GB large, low quality loss - recommended
granite-3.0-1b-a400m-instruct-Q5_K_M.gguf Q5_K_M 0.956 GB large, very low quality loss - recommended
granite-3.0-1b-a400m-instruct-Q6_K.gguf Q6_K 1.099 GB very large, extremely low quality loss
granite-3.0-1b-a400m-instruct-Q8_0.gguf Q8_0 1.422 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-3.0-1b-a400m-instruct-GGUF --include "granite-3.0-1b-a400m-instruct-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-3.0-1b-a400m-instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
Downloads last month
279
GGUF
Model size
1.33B params
Architecture
granitemoe

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

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

Model tree for tensorblock/granite-3.0-1b-a400m-instruct-GGUF

Evaluation results