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https://github.com/ggml-org/llama.cpp.git
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40a751ea9a
* model-conversion : remove hardcoded /bin/bash shebangs [no ci] This commit updates the bash scripts to use env instead of using hardcoded /bin/bash in the shebang line. The motivation for this is that some systems may have bash installed in a different location, and using /usr/bin/env bash ensures that the script will use the first bash interpreter found in the user's PATH, making the scripts more portable across different environments. * model-conversion : rename script to .py [no ci] This commit renames run-casual-gen-embeddings-org.sh to run-casual-gen-embeddings-org.py to reflect its Python nature.
49 lines
1.3 KiB
Bash
Executable File
49 lines
1.3 KiB
Bash
Executable File
#!/usr/bin/env bash
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set -e
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CONVERTED_MODEL="${1:-"$CONVERTED_MODEL"}"
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QUANTIZED_TYPE="${2:-"$QUANTIZED_TYPE"}"
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TOKEN_EMBD_TYPE="${3:-"${TOKEN_EMBD_TYPE}"}"
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OUTPUT_TYPE="${4:-"${OUTPUT_TYPE}"}"
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QUANTIZED_MODEL=$CONVERTED_MODEL
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# Final check if we have a model path
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if [ -z "$CONVERTED_MODEL" ]; then
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echo "Error: Model path must be provided either as:" >&2
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echo " 1. Command line argument" >&2
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echo " 2. CONVERTED_MODEL environment variable" >&2
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exit 1
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fi
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if [ -z "$QUANTIZED_TYPE" ]; then
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echo "Error: QUANTIZED_TYPE is required" >&2
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exit 1
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fi
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echo $CONVERTED_MODEL
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# Process the quantized model filename
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if [[ "$QUANTIZED_MODEL" == *.gguf ]]; then
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# Remove .gguf suffix, add quantized type, then add .gguf back
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BASE_NAME="${QUANTIZED_MODEL%.gguf}"
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QUANTIZED_MODEL="${BASE_NAME}-${QUANTIZED_TYPE}.gguf"
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else
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echo "Error: QUANTIZED_MODEL must end with .gguf extension" >&2
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exit 1
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fi
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cmake --build ../../build --target llama-quantize -j8
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echo $TOKEN_EMBD_TYPE
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echo $OUTPUT_TYPE
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CMD_ARGS=("../../build/bin/llama-quantize")
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[[ -n "$TOKEN_EMBD_TYPE" ]] && CMD_ARGS+=("--token-embedding-type" "$TOKEN_EMBD_TYPE")
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[[ -n "$OUTPUT_TYPE" ]] && CMD_ARGS+=("--output-tensor-type" "$OUTPUT_TYPE")
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CMD_ARGS+=("$CONVERTED_MODEL" "$QUANTIZED_MODEL" "$QUANTIZED_TYPE")
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"${CMD_ARGS[@]}"
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echo "Quantized model saved to: $QUANTIZED_MODEL"
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