| base_model: [] | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| <div style="width: auto; margin-left: auto; margin-right: auto"> | |
| <img src="https://i.imgur.com/Tn9MBg6.png" alt="MidnightMiqu" style="width: 100%; min-width: 400px; display: block; margin: auto;"> | |
| </div> | |
| # Midnight-Miqu-103B-v1.0 - EXL2 4.25bpw | |
| This is a 4.25bpw EXL2 quant of [sophosympatheia/Midnight-Miqu-103B-v1.0](https://huggingface.co/sophosympatheia/Midnight-Miqu-103B-v1.0) | |
| Details about the model and the merge info can be found at the above mode page. | |
| ## Quant Details | |
| This is the script used for quantization. | |
| ```bash | |
| #!/bin/bash | |
| # Activate the conda environment | |
| source ~/miniconda3/etc/profile.d/conda.sh | |
| conda activate exllamav2 | |
| # Define variables | |
| MODEL_DIR="models/sophosympatheia_Midnight-Miqu-103B-v1.0" | |
| OUTPUT_DIR="exl2_midnight103b" | |
| MEASUREMENT_FILE="measurements/midnight103b.json" | |
| BIT_PRECISION=4.25 | |
| CONVERTED_FOLDER="models/Midnight-Miqu-103B_exl2_4.25bpw" | |
| # Create directories | |
| mkdir $OUTPUT_DIR | |
| mkdir $CONVERTED_FOLDER | |
| # Run conversion commands | |
| python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -om $MEASUREMENT_FILE | |
| python convert.py -i $MODEL_DIR -o $OUTPUT_DIR -nr -m $MEASUREMENT_FILE -b $BIT_PRECISION -cf $CONVERTED_FOLDER | |
| ``` | |