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tensorblock/
LosslessMegaCoder-Falcon-40b-mini-GGUF

Name: LosslessMegaCoder-Falcon-40b-mini-GGUF
Rating: 2.5 (31 reviews)

quantized

rombodawg/LosslessMegaCoder-Falcon-40b-mini

rombodawg/LosslessMegaCodeTrainingV2_1m_Evol_Uncensored

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rombodawg/LosslessMegaCoder-Falcon-40b-mini - GGUF

This repo contains GGUF format model files for rombodawg/LosslessMegaCoder-Falcon-40b-mini.

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

Model file specification

Filename	Quant type	File Size	Description
LosslessMegaCoder-Falcon-40b-mini-Q2_K.gguf	Q2_K	14.520 GB	smallest, significant quality loss - not recommended for most purposes
LosslessMegaCoder-Falcon-40b-mini-Q3_K_S.gguf	Q3_K_S	16.852 GB	very small, high quality loss
LosslessMegaCoder-Falcon-40b-mini-Q3_K_M.gguf	Q3_K_M	18.503 GB	very small, high quality loss
LosslessMegaCoder-Falcon-40b-mini-Q3_K_L.gguf	Q3_K_L	19.903 GB	small, substantial quality loss
LosslessMegaCoder-Falcon-40b-mini-Q4_0.gguf	Q4_0	21.895 GB	legacy; small, very high quality loss - prefer using Q3_K_M
LosslessMegaCoder-Falcon-40b-mini-Q4_K_S.gguf	Q4_K_S	21.895 GB	small, greater quality loss
LosslessMegaCoder-Falcon-40b-mini-Q4_K_M.gguf	Q4_K_M	23.460 GB	medium, balanced quality - recommended
LosslessMegaCoder-Falcon-40b-mini-Q5_0.gguf	Q5_0	26.641 GB	legacy; medium, balanced quality - prefer using Q4_K_M
LosslessMegaCoder-Falcon-40b-mini-Q5_K_S.gguf	Q5_K_S	26.641 GB	large, low quality loss - recommended
LosslessMegaCoder-Falcon-40b-mini-Q5_K_M.gguf	Q5_K_M	28.198 GB	large, very low quality loss - recommended
LosslessMegaCoder-Falcon-40b-mini-Q6_K.gguf	Q6_K	31.684 GB	very large, extremely low quality loss
LosslessMegaCoder-Falcon-40b-mini-Q8_0.gguf	Q8_0	40.879 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/LosslessMegaCoder-Falcon-40b-mini-GGUF --include "LosslessMegaCoder-Falcon-40b-mini-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/LosslessMegaCoder-Falcon-40b-mini-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'