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42 lines
1.3 KiB
Bash
Executable File
42 lines
1.3 KiB
Bash
Executable File
#!/usr/bin/env bash
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set -e
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cd "$(dirname "$0")/.." || exit
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MODEL="${MODEL:-./models/ggml-vic13b-uncensored-q5_0.bin}"
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PROMPT_TEMPLATE=${PROMPT_TEMPLATE:-./prompts/chat.txt}
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USER_NAME="### Human"
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AI_NAME="### Assistant"
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# Adjust to the number of CPU cores you want to use.
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N_THREAD="${N_THREAD:-8}"
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# Number of tokens to predict (made it larger than default because we want a long interaction)
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N_PREDICTS="${N_PREDICTS:-2048}"
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# Note: you can also override the generation options by specifying them on the command line:
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# For example, override the context size by doing: ./chatLLaMa --ctx_size 1024
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GEN_OPTIONS="${GEN_OPTIONS:---ctx_size 2048 --temp 0.7 --top_k 40 --top_p 0.5 --repeat_last_n 256 --batch_size 1024 --repeat_penalty 1.17647}"
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DATE_TIME=$(date +%H:%M)
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DATE_YEAR=$(date +%Y)
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PROMPT_FILE=$(mktemp -t llamacpp_prompt.XXXXXXX.txt)
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sed -e "s/\[\[USER_NAME\]\]/$USER_NAME/g" \
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-e "s/\[\[AI_NAME\]\]/$AI_NAME/g" \
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-e "s/\[\[DATE_TIME\]\]/$DATE_TIME/g" \
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-e "s/\[\[DATE_YEAR\]\]/$DATE_YEAR/g" \
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$PROMPT_TEMPLATE > $PROMPT_FILE
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# shellcheck disable=SC2086 # Intended splitting of GEN_OPTIONS
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./bin/llama-cli $GEN_OPTIONS \
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--model "$MODEL" \
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--threads "$N_THREAD" \
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--n_predict "$N_PREDICTS" \
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--color --interactive \
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--file ${PROMPT_FILE} \
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--reverse-prompt "### Human:" \
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--in-prefix ' ' \
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"$@"
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