tensorblock/reflect_ministral8Bit_om2_sft-t2_lr.5-6-GGUF

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RyanYr/reflect_ministral8Bit_om2_sft-t2_lr.5-6 - GGUF

This repo contains GGUF format model files for RyanYr/reflect_ministral8Bit_om2_sft-t2_lr.5-6.

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

Run them on the TensorBlock client using your local machine ↗

Prompt template

<s>[INST]{system_prompt}

{prompt}[/INST]

Model file specification

Filename	Quant type	File Size	Description
reflect_ministral8Bit_om2_sft-t2_lr.5-6-Q2_K.gguf	Q2_K	3.185 GB	smallest, significant quality loss - not recommended for most purposes
reflect_ministral8Bit_om2_sft-t2_lr.5-6-Q3_K_S.gguf	Q3_K_S	3.665 GB	very small, high quality loss
reflect_ministral8Bit_om2_sft-t2_lr.5-6-Q3_K_M.gguf	Q3_K_M	4.019 GB	very small, high quality loss
reflect_ministral8Bit_om2_sft-t2_lr.5-6-Q3_K_L.gguf	Q3_K_L	4.326 GB	small, substantial quality loss
reflect_ministral8Bit_om2_sft-t2_lr.5-6-Q4_0.gguf	Q4_0	4.658 GB	legacy; small, very high quality loss - prefer using Q3_K_M
reflect_ministral8Bit_om2_sft-t2_lr.5-6-Q4_K_S.gguf	Q4_K_S	4.686 GB	small, greater quality loss
reflect_ministral8Bit_om2_sft-t2_lr.5-6-Q4_K_M.gguf	Q4_K_M	4.912 GB	medium, balanced quality - recommended
reflect_ministral8Bit_om2_sft-t2_lr.5-6-Q5_0.gguf	Q5_0	5.594 GB	legacy; medium, balanced quality - prefer using Q4_K_M
reflect_ministral8Bit_om2_sft-t2_lr.5-6-Q5_K_S.gguf	Q5_K_S	5.594 GB	large, low quality loss - recommended
reflect_ministral8Bit_om2_sft-t2_lr.5-6-Q5_K_M.gguf	Q5_K_M	5.724 GB	large, very low quality loss - recommended
reflect_ministral8Bit_om2_sft-t2_lr.5-6-Q6_K.gguf	Q6_K	6.588 GB	very large, extremely low quality loss
reflect_ministral8Bit_om2_sft-t2_lr.5-6-Q8_0.gguf	Q8_0	8.530 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/reflect_ministral8Bit_om2_sft-t2_lr.5-6-GGUF --include "reflect_ministral8Bit_om2_sft-t2_lr.5-6-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/reflect_ministral8Bit_om2_sft-t2_lr.5-6-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'