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#!/bin/bash |
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if [ $# -ne 1 ]; then |
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echo "Usage: $0 <hf_name>" |
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exit 1 |
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fi |
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if [ ! -f "$HOME/.config/llama/llama-hf-to-q6_k.conf" ]; then |
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mkdir -p "$HOME/.config/llama" |
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cat <<EOF > "$HOME/.config/llama/llama-hf-to-q6_k.conf" |
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MODELS_ROOT=$HOME/.ai/models/llama/ |
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HF_DOWNLOADER=hfdownloader |
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STORAGE_PATH=$HOME/scratch/hfdownloader |
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PYTHON3_EXEC=$HOME/.virtualenvs/llama.cpp/bin/python3 |
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QUANTIZE_EXEC=$HOME/Work/llama.cpp/build/bin/quantize |
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CONVERT_PY=$HOME/Work/llama.cpp/convert.py |
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EOF |
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fi |
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source $HOME/.config/llama/llama-hf-to-q6_k.conf |
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HF_NAME=$1 |
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ACCOUNT_NAME=$(echo "$HF_NAME" | cut -d '/' -f 1) |
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MODEL_NAME=$(echo "$HF_NAME" | cut -d '/' -f 2) |
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MODEL_NAME_LOWER=$(echo "$MODEL_NAME" | tr '[:upper:]' '[:lower:]') |
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MODEL_F16="$MODELS_ROOT/$ACCOUNT_NAME"/"$MODEL_NAME"/"${MODEL_NAME_LOWER}-f16.gguf" |
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MODEL_Q6_K="$MODELS_ROOT/$ACCOUNT_NAME"/"$MODEL_NAME"/"${MODEL_NAME_LOWER}-q6_k.gguf" |
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cat <<EOF |
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HF_NAME: $HF_NAME |
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ACCOUNT_NAME: $ACCOUNT_NAME |
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MODELS_ROOT: $MODELS_ROOT |
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MODEL_NAME: $MODEL_NAME |
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MODEL_NAME_LOWER: $MODEL_NAME_LOWER |
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MODEL_F16: $MODEL_F16 |
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MODEL_Q6_K: $MODEL_Q6_K |
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STORAGE_PATH: $STORAGE_PATH |
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EOF |
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$HF_DOWNLOADER \ |
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--model "$HF_NAME" \ |
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--storage "$STORAGE_PATH" |
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mkdir -p "$MODELS_ROOT/$HF_NAME" |
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HF_TORCH_MODEL=$(ls "$STORAGE_PATH"/"${ACCOUNT_NAME}_${MODEL_NAME}"/*00001*) |
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cat <<EOF |
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HF_TORCH_MODEL: $HF_TORCH_MODEL |
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EOF |
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ls -alFh "$HF_TORCH_MODEL" |
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$PYTHON3_EXEC \ |
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"$CONVERT_PY" \ |
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--outtype f16 \ |
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--outfile "$MODEL_F16" \ |
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"$HF_TORCH_MODEL" |
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ls -alFh "$MODEL_F16" |
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$QUANTIZE_EXEC \ |
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"$MODEL_F16" \ |
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"$MODEL_Q6_K" Q6_K |
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ls -alFh "$MODEL_Q6_K" |
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