Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
ibm-granite/granite-3.0-3b-a800m-instruct - GGUF
This repo contains GGUF format model files for ibm-granite/granite-3.0-3b-a800m-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-3.0-3b-a800m-instruct-Q2_K.gguf | Q2_K | 1.266 GB | smallest, significant quality loss - not recommended for most purposes |
granite-3.0-3b-a800m-instruct-Q3_K_S.gguf | Q3_K_S | 1.489 GB | very small, high quality loss |
granite-3.0-3b-a800m-instruct-Q3_K_M.gguf | Q3_K_M | 1.644 GB | very small, high quality loss |
granite-3.0-3b-a800m-instruct-Q3_K_L.gguf | Q3_K_L | 1.774 GB | small, substantial quality loss |
granite-3.0-3b-a800m-instruct-Q4_0.gguf | Q4_0 | 1.926 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
granite-3.0-3b-a800m-instruct-Q4_K_S.gguf | Q4_K_S | 1.942 GB | small, greater quality loss |
granite-3.0-3b-a800m-instruct-Q4_K_M.gguf | Q4_K_M | 2.059 GB | medium, balanced quality - recommended |
granite-3.0-3b-a800m-instruct-Q5_0.gguf | Q5_0 | 2.338 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
granite-3.0-3b-a800m-instruct-Q5_K_S.gguf | Q5_K_S | 2.338 GB | large, low quality loss - recommended |
granite-3.0-3b-a800m-instruct-Q5_K_M.gguf | Q5_K_M | 2.407 GB | large, very low quality loss - recommended |
granite-3.0-3b-a800m-instruct-Q6_K.gguf | Q6_K | 2.776 GB | very large, extremely low quality loss |
granite-3.0-3b-a800m-instruct-Q8_0.gguf | Q8_0 | 3.593 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-3.0-3b-a800m-instruct-GGUF --include "granite-3.0-3b-a800m-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-3.0-3b-a800m-instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
- Downloads last month
- 249
Model tree for tensorblock/granite-3.0-3b-a800m-instruct-GGUF
Base model
ibm-granite/granite-3.0-3b-a800m-baseEvaluation results
- pass@1 on IFEvalself-reported42.490
- pass@1 on IFEvalself-reported7.020
- pass@1 on AGI-Evalself-reported25.700
- pass@1 on AGI-Evalself-reported50.160
- pass@1 on AGI-Evalself-reported20.510
- pass@1 on OBQAself-reported40.800
- pass@1 on OBQAself-reported59.950
- pass@1 on OBQAself-reported71.860
- pass@1 on OBQAself-reported67.010
- pass@1 on OBQAself-reported48.000