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https://github.com/ggml-org/llama.cpp.git
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73bdcb395e
* Add '-ngl' support to finetune.cpp * Add fprintf in ggml_cuda_op_add When I tried CUDA offloading during finetuning following the readme, I got an assert here. This probably isn't an important case because inference later gives a warning saying you should use f16 or f32 instead when using lora * Add 'finetune.sh', which currently fails when using GPU "error: operator (): Finetuning on tensors with type 'f16' is not yet supported" * tweak finetune.sh * Suppress some warnings in ggml.c * Add f16 implementation to ggml_compute_forward_add_f16_f32 * Add an f16 case to ggml_add_cast_impl and llama_build_lora_finetune_graphs * finetune.sh: Edit comments * Add "add_f16_f32_f32_cuda" * Tweak an error message * finetune.sh: Add an optional LLAMA_MODEL_DIR variable * finetune.sh: Add an optional LLAMA_TRAINING_DIR variable * train : minor * tabs to spaces --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
35 lines
1.1 KiB
Bash
35 lines
1.1 KiB
Bash
#!/bin/bash
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cd `dirname $0`
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cd ../..
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EXE="./finetune"
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if [[ ! $LLAMA_MODEL_DIR ]]; then LLAMA_MODEL_DIR="./models"; fi
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if [[ ! $LLAMA_TRAINING_DIR ]]; then LLAMA_TRAINING_DIR="."; fi
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# MODEL="$LLAMA_MODEL_DIR/openllama-3b-v2-q8_0.gguf" # This is the model the readme uses.
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MODEL="$LLAMA_MODEL_DIR/openllama-3b-v2.gguf" # An f16 model. Note in this case with "-g", you get an f32-format .BIN file that isn't yet supported if you use it with "main --lora" with GPU inferencing.
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while getopts "dg" opt; do
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case $opt in
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d)
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DEBUGGER="gdb --args"
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;;
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g)
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EXE="./build/bin/Release/finetune"
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GPUARG="--gpu-layers 25"
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;;
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esac
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done
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$DEBUGGER $EXE \
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--model-base $MODEL \
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$GPUARG \
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--checkpoint-in chk-ol3b-shakespeare-LATEST.gguf \
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--checkpoint-out chk-ol3b-shakespeare-ITERATION.gguf \
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--lora-out lora-ol3b-shakespeare-ITERATION.bin \
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--train-data "$LLAMA_TRAINING_DIR\shakespeare.txt" \
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--save-every 10 \
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--threads 10 --adam-iter 30 --batch 4 --ctx 64 \
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--use-checkpointing
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