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tensorblock/
leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-GGUF

Name: leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-GGUF
Availability: InStock

ENERGY-DRINK-LOVE/leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT

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ENERGY-DRINK-LOVE/leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT - GGUF

This repo contains GGUF format model files for ENERGY-DRINK-LOVE/leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT.

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

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## Prompt template

### System:
{system_prompt}

### User:
{prompt}

### Assistant:

Model file specification

Filename	Quant type	File Size	Description
leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-Q2_K.gguf	Q2_K	3.799 GB	smallest, significant quality loss - not recommended for most purposes
leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-Q3_K_S.gguf	Q3_K_S	4.421 GB	very small, high quality loss
leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-Q3_K_M.gguf	Q3_K_M	4.916 GB	very small, high quality loss
leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-Q3_K_L.gguf	Q3_K_L	5.339 GB	small, substantial quality loss
leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-Q4_0.gguf	Q4_0	5.740 GB	legacy; small, very high quality loss - prefer using Q3_K_M
leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-Q4_K_S.gguf	Q4_K_S	5.783 GB	small, greater quality loss
leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-Q4_K_M.gguf	Q4_K_M	6.103 GB	medium, balanced quality - recommended
leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-Q5_0.gguf	Q5_0	6.982 GB	legacy; medium, balanced quality - prefer using Q4_K_M
leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-Q5_K_S.gguf	Q5_K_S	6.982 GB	large, low quality loss - recommended
leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-Q5_K_M.gguf	Q5_K_M	7.169 GB	large, very low quality loss - recommended
leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-Q6_K.gguf	Q6_K	8.301 GB	very large, extremely low quality loss
leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-Q8_0.gguf	Q8_0	10.751 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/leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-GGUF --include "leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-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/leaderboard_inst_v1.3_Open-Hermes_LDCC-SOLAR-10.7B_SFT-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'