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arg : add env variable for parallel (#9513)
* add env variable for parallel * Update README.md with env: LLAMA_ARG_N_PARALLEL
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@ -1312,7 +1312,7 @@ gpt_params_context gpt_params_parser_init(gpt_params & params, llama_example ex,
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[](gpt_params & params, int value) {
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params.n_parallel = value;
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}
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));
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).set_env("LLAMA_ARG_N_PARALLEL"));
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add_opt(llama_arg(
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{"-ns", "--sequences"}, "N",
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format("number of sequences to decode (default: %d)", params.n_sequences),
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@ -87,7 +87,7 @@ The project is under active development, and we are [looking for feedback and co
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| `-ctk, --cache-type-k TYPE` | KV cache data type for K (default: f16) |
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| `-ctv, --cache-type-v TYPE` | KV cache data type for V (default: f16) |
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| `-dt, --defrag-thold N` | KV cache defragmentation threshold (default: -1.0, < 0 - disabled)<br/>(env: LLAMA_ARG_DEFRAG_THOLD) |
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| `-np, --parallel N` | number of parallel sequences to decode (default: 1) |
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| `-np, --parallel N` | number of parallel sequences to decode (default: 1)<br/>(env: LLAMA_ARG_N_PARALLEL) |
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| `-cb, --cont-batching` | enable continuous batching (a.k.a dynamic batching) (default: enabled)<br/>(env: LLAMA_ARG_CONT_BATCHING) |
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| `-nocb, --no-cont-batching` | disable continuous batching<br/>(env: LLAMA_ARG_NO_CONT_BATCHING) |
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| `--mlock` | force system to keep model in RAM rather than swapping or compressing |
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