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tensorblock/granite-34b-code-instruct-8k-GGUF
granite-34b-code-instruct-8k-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
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Downloads · 30 days
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.gguf30.7 GB · 100%
From the Hugging Face model README
This repo contains GGUF format model files for ibm-granite/granite-34b-code-instruct-8k.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
System:
{system_prompt}
Question:
{prompt}
Answer:
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| granite-34b-code-instruct-8k-Q2_K.gguf | Q2_K | 12.207 GB | smallest, significant quality loss - not recommended for most purposes |
| granite-34b-code-instruct-8k-Q3_K_S.gguf | Q3_K_S | 13.791 GB | very small, high quality loss |
| granite-34b-code-instruct-8k-Q3_K_M.gguf | Q3_K_M | 16.361 GB | very small, high quality loss |
| granite-34b-code-instruct-8k-Q3_K_L.gguf | Q3_K_L | 18.207 GB | small, substantial quality loss |
| granite-34b-code-instruct-8k-Q4_0.gguf | Q4_0 | 17.917 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| granite-34b-code-instruct-8k-Q4_K_S.gguf | Q4_K_S | 18.110 GB | small, greater quality loss |
| granite-34b-code-instruct-8k-Q4_K_M.gguf | Q4_K_M | 19.915 GB | medium, balanced quality - recommended |
| granite-34b-code-instruct-8k-Q5_0.gguf | Q5_0 | 21.800 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| granite-34b-code-instruct-8k-Q5_K_S.gguf | Q5_K_S | 21.800 GB | large, low quality loss - recommended |
| granite-34b-code-instruct-8k-Q5_K_M.gguf | Q5_K_M | 23.050 GB | large, very low quality loss - recommended |
| granite-34b-code-instruct-8k-Q6_K.gguf | Q6_K | 25.926 GB | very large, extremely low quality loss |
| granite-34b-code-instruct-8k-Q8_0.gguf | Q8_0 | 33.518 GB | very large, extremely low quality loss - not recommended |
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-34b-code-instruct-8k-GGUF --include "granite-34b-code-instruct-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-34b-code-instruct-8k-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'