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tensorblock/llamamistral-passthrough-merged-model-GGUF
llamamistral-passthrough-merged-model-GGUF is a machine learning model from tensorblock. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Downloads · 30 days
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.gguf3.3 GB · 100%
From the Hugging Face model README
This repo contains GGUF format model files for Kiruthikarthi/llamamistral-passthrough-merged-model.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| llamamistral-passthrough-merged-model-Q2_K.gguf | Q2_K | 3.297 GB | smallest, significant quality loss - not recommended for most purposes |
| llamamistral-passthrough-merged-model-Q3_K_S.gguf | Q3_K_S | 3.861 GB | very small, high quality loss |
| llamamistral-passthrough-merged-model-Q3_K_M.gguf | Q3_K_M | 4.298 GB | very small, high quality loss |
| llamamistral-passthrough-merged-model-Q3_K_L.gguf | Q3_K_L | 4.680 GB | small, substantial quality loss |
| llamamistral-passthrough-merged-model-Q4_0.gguf | Q4_0 | 5.020 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| llamamistral-passthrough-merged-model-Q4_K_S.gguf | Q4_K_S | 5.059 GB | small, greater quality loss |
| llamamistral-passthrough-merged-model-Q4_K_M.gguf | Q4_K_M | 5.343 GB | medium, balanced quality - recommended |
| llamamistral-passthrough-merged-model-Q5_0.gguf | Q5_0 | 6.111 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| llamamistral-passthrough-merged-model-Q5_K_S.gguf | Q5_K_S | 6.111 GB | large, low quality loss - recommended |
| llamamistral-passthrough-merged-model-Q5_K_M.gguf | Q5_K_M | 6.277 GB | large, very low quality loss - recommended |
| llamamistral-passthrough-merged-model-Q6_K.gguf | Q6_K | 7.270 GB | very large, extremely low quality loss |
| llamamistral-passthrough-merged-model-Q8_0.gguf | Q8_0 | 9.416 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/llamamistral-passthrough-merged-model-GGUF --include "llamamistral-passthrough-merged-model-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/llamamistral-passthrough-merged-model-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'