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tensorblock/
FusionNet_passthrough_v0.1-GGUF

Name: FusionNet_passthrough_v0.1-GGUF
Availability: InStock

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TomGrc/FusionNet_passthrough_v0.1 - GGUF

This repo contains GGUF format model files for TomGrc/FusionNet_passthrough_v0.1.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

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## Prompt template

### System:
{system_prompt}

### User:
{prompt}

### Assistant:

Filename	Quant type	File Size	Description
FusionNet_passthrough_v0.1-Q2_K.gguf	Q2_K	7.855 GB	smallest, significant quality loss - not recommended for most purposes
FusionNet_passthrough_v0.1-Q3_K_S.gguf	Q3_K_S	9.165 GB	very small, high quality loss
FusionNet_passthrough_v0.1-Q3_K_M.gguf	Q3_K_M	10.226 GB	very small, high quality loss
FusionNet_passthrough_v0.1-Q3_K_L.gguf	Q3_K_L	11.137 GB	small, substantial quality loss
FusionNet_passthrough_v0.1-Q4_0.gguf	Q4_0	11.963 GB	legacy; small, very high quality loss - prefer using Q3_K_M
FusionNet_passthrough_v0.1-Q4_K_S.gguf	Q4_K_S	12.053 GB	small, greater quality loss
FusionNet_passthrough_v0.1-Q4_K_M.gguf	Q4_K_M	12.741 GB	medium, balanced quality - recommended
FusionNet_passthrough_v0.1-Q5_0.gguf	Q5_0	14.596 GB	legacy; medium, balanced quality - prefer using Q4_K_M
FusionNet_passthrough_v0.1-Q5_K_S.gguf	Q5_K_S	14.596 GB	large, low quality loss - recommended
FusionNet_passthrough_v0.1-Q5_K_M.gguf	Q5_K_M	14.997 GB	large, very low quality loss - recommended
FusionNet_passthrough_v0.1-Q6_K.gguf	Q6_K	17.395 GB	very large, extremely low quality loss
FusionNet_passthrough_v0.1-Q8_0.gguf	Q8_0	22.529 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/FusionNet_passthrough_v0.1-GGUF --include "FusionNet_passthrough_v0.1-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/FusionNet_passthrough_v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'