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args: add env vars for temperature, top-p, min-p and penalties (#27380)

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Allow configuring --temp, --top-p, --min-p, --repeat-penalty,
--presence-penalty and --frequency-penalty via LLAMA_ARG_* so
llama-server can be fully controlled from an EnvironmentFile
(e.g. systemd on Debian).

Use `llama-gen-docs` to regenerate the readme files.
This commit is contained in:
Mikolaj Kucharski
2026-09-21 12:47:38 +02:00
committed by GitHub
parent 982a3329af
commit e0dff58475
4 changed files with 24 additions and 24 deletions
Download Patch File Download Diff File Expand all files Collapse all files
common/arg.cpp
+6 -6
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@@ -2016,7 +2016,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
params.sampling.temp = std::max(params.sampling.temp, 0.0f);
params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_TEMP;
}
).set_sampling());
).set_sampling().set_env("LLAMA_ARG_TEMPERATURE"));
add_opt(common_arg(
{"--top-k"}, "N",
string_format("top-k sampling (default: %d, 0 = disabled)", params.sampling.top_k),
@@ -2032,7 +2032,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
params.sampling.top_p = std::stof(value);
params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_TOP_P;
}
).set_sampling());
).set_sampling().set_env("LLAMA_ARG_TOP_P"));
add_opt(common_arg(
{"--min-p"}, "N",
string_format("min-p sampling (default: %.2f, 0.0 = disabled)", (double)params.sampling.min_p),
@@ -2040,7 +2040,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
params.sampling.min_p = std::stof(value);
params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_MIN_P;
}
).set_sampling());
).set_sampling().set_env("LLAMA_ARG_MIN_P"));
add_opt(common_arg(
{"--top-nsigma", "--top-n-sigma"}, "N",
string_format("top-n-sigma sampling (default: %.2f, -1.0 = disabled)", params.sampling.top_n_sigma),
@@ -2096,7 +2096,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
params.sampling.penalty_repeat = penalty_repeat;
params.sampling.user_sampling_config |= common_params_sampling_config::COMMON_PARAMS_SAMPLING_CONFIG_PENALTY_REPEAT;
}
).set_sampling());
).set_sampling().set_env("LLAMA_ARG_REPEAT_PENALTY"));
add_opt(common_arg(
{"--presence-penalty"}, "N",
string_format("repeat alpha presence penalty (default: %.2f, 0.0 = disabled)", (double)params.sampling.penalty_present),
@@ -2107,7 +2107,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
}
params.sampling.penalty_present = penalty_present;
}
).set_sampling());
).set_sampling().set_env("LLAMA_ARG_PRESENCE_PENALTY"));
add_opt(common_arg(
{"--frequency-penalty"}, "N",
string_format("repeat alpha frequency penalty (default: %.2f, 0.0 = disabled)", (double)params.sampling.penalty_freq),
@@ -2118,7 +2118,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
}
params.sampling.penalty_freq = penalty_freq;
}
).set_sampling());
).set_sampling().set_env("LLAMA_ARG_FREQUENCY_PENALTY"));
add_opt(common_arg(
{"--dry-multiplier"}, "N",
string_format("set DRY sampling multiplier (default: %.2f, 0.0 = disabled)", (double)params.sampling.dry_multiplier),
tools/cli/README.md
+6 -6
View File
@@ -106,18 +106,18 @@
| `-s, --seed SEED` | RNG seed (default: -1, use random seed for -1) |
| `--sampler-seq, --sampling-seq SEQUENCE` | simplified sequence for samplers that will be used (default: edskypmxt) |
| `--ignore-eos` | ignore end of stream token and continue generating (implies --logit-bias EOS-inf) |
| `--temp, --temperature N` | temperature (default: 0.80) |
| `--temp, --temperature N` | temperature (default: 0.80)<br/>(env: LLAMA_ARG_TEMPERATURE) |
| `--top-k N` | top-k sampling (default: 40, 0 = disabled)<br/>(env: LLAMA_ARG_TOP_K) |
| `--top-p N` | top-p sampling (default: 0.95, 1.0 = disabled) |
| `--min-p N` | min-p sampling (default: 0.05, 0.0 = disabled) |
| `--top-p N` | top-p sampling (default: 0.95, 1.0 = disabled)<br/>(env: LLAMA_ARG_TOP_P) |
| `--min-p N` | min-p sampling (default: 0.05, 0.0 = disabled)<br/>(env: LLAMA_ARG_MIN_P) |
| `--top-nsigma, --top-n-sigma N` | top-n-sigma sampling (default: -1.00, -1.0 = disabled) |
| `--xtc-probability N` | xtc probability (default: 0.00, 0.0 = disabled) |
| `--xtc-threshold N` | xtc threshold (default: 0.10, 1.0 = disabled) |
| `--typical, --typical-p N` | locally typical sampling, parameter p (default: 1.00, 1.0 = disabled) |
| `--repeat-last-n N` | last n tokens to consider for penalize (default: 64, 0 = disabled) |
| `--repeat-penalty N` | penalize repeat sequence of tokens (default: 1.00, 1.0 = disabled) |
| `--presence-penalty N` | repeat alpha presence penalty (default: 0.00, 0.0 = disabled) |
| `--frequency-penalty N` | repeat alpha frequency penalty (default: 0.00, 0.0 = disabled) |
| `--repeat-penalty N` | penalize repeat sequence of tokens (default: 1.00, 1.0 = disabled)<br/>(env: LLAMA_ARG_REPEAT_PENALTY) |
| `--presence-penalty N` | repeat alpha presence penalty (default: 0.00, 0.0 = disabled)<br/>(env: LLAMA_ARG_PRESENCE_PENALTY) |
| `--frequency-penalty N` | repeat alpha frequency penalty (default: 0.00, 0.0 = disabled)<br/>(env: LLAMA_ARG_FREQUENCY_PENALTY) |
| `--dry-multiplier N` | set DRY sampling multiplier (default: 0.00, 0.0 = disabled) |
| `--dry-base N` | set DRY sampling base value (default: 1.75) |
| `--dry-allowed-length N` | set allowed length for DRY sampling (default: 2) |
tools/completion/README.md
+6 -6
View File
@@ -189,18 +189,18 @@ llama-completion.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --ignore-eos -n -1
| `-s, --seed SEED` | RNG seed (default: -1, use random seed for -1) |
| `--sampler-seq, --sampling-seq SEQUENCE` | simplified sequence for samplers that will be used (default: edskypmxt) |
| `--ignore-eos` | ignore end of stream token and continue generating (implies --logit-bias EOS-inf) |
| `--temp, --temperature N` | temperature (default: 0.80) |
| `--temp, --temperature N` | temperature (default: 0.80)<br/>(env: LLAMA_ARG_TEMPERATURE) |
| `--top-k N` | top-k sampling (default: 40, 0 = disabled)<br/>(env: LLAMA_ARG_TOP_K) |
| `--top-p N` | top-p sampling (default: 0.95, 1.0 = disabled) |
| `--min-p N` | min-p sampling (default: 0.05, 0.0 = disabled) |
| `--top-p N` | top-p sampling (default: 0.95, 1.0 = disabled)<br/>(env: LLAMA_ARG_TOP_P) |
| `--min-p N` | min-p sampling (default: 0.05, 0.0 = disabled)<br/>(env: LLAMA_ARG_MIN_P) |
| `--top-nsigma, --top-n-sigma N` | top-n-sigma sampling (default: -1.00, -1.0 = disabled) |
| `--xtc-probability N` | xtc probability (default: 0.00, 0.0 = disabled) |
| `--xtc-threshold N` | xtc threshold (default: 0.10, 1.0 = disabled) |
| `--typical, --typical-p N` | locally typical sampling, parameter p (default: 1.00, 1.0 = disabled) |
| `--repeat-last-n N` | last n tokens to consider for penalize (default: 64, 0 = disabled) |
| `--repeat-penalty N` | penalize repeat sequence of tokens (default: 1.00, 1.0 = disabled) |
| `--presence-penalty N` | repeat alpha presence penalty (default: 0.00, 0.0 = disabled) |
| `--frequency-penalty N` | repeat alpha frequency penalty (default: 0.00, 0.0 = disabled) |
| `--repeat-penalty N` | penalize repeat sequence of tokens (default: 1.00, 1.0 = disabled)<br/>(env: LLAMA_ARG_REPEAT_PENALTY) |
| `--presence-penalty N` | repeat alpha presence penalty (default: 0.00, 0.0 = disabled)<br/>(env: LLAMA_ARG_PRESENCE_PENALTY) |
| `--frequency-penalty N` | repeat alpha frequency penalty (default: 0.00, 0.0 = disabled)<br/>(env: LLAMA_ARG_FREQUENCY_PENALTY) |
| `--dry-multiplier N` | set DRY sampling multiplier (default: 0.00, 0.0 = disabled) |
| `--dry-base N` | set DRY sampling base value (default: 1.75) |
| `--dry-allowed-length N` | set allowed length for DRY sampling (default: 2) |
tools/server/README.md
+6 -6
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@@ -123,18 +123,18 @@ For the full list of features, please refer to [server's changelog](https://gith
| `-s, --seed SEED` | RNG seed (default: -1, use random seed for -1) |
| `--sampler-seq, --sampling-seq SEQUENCE` | simplified sequence for samplers that will be used (default: edskypmxt) |
| `--ignore-eos` | ignore end of stream token and continue generating (implies --logit-bias EOS-inf) |
| `--temp, --temperature N` | temperature (default: 0.80) |
| `--temp, --temperature N` | temperature (default: 0.80)<br/>(env: LLAMA_ARG_TEMPERATURE) |
| `--top-k N` | top-k sampling (default: 40, 0 = disabled)<br/>(env: LLAMA_ARG_TOP_K) |
| `--top-p N` | top-p sampling (default: 0.95, 1.0 = disabled) |
| `--min-p N` | min-p sampling (default: 0.05, 0.0 = disabled) |
| `--top-p N` | top-p sampling (default: 0.95, 1.0 = disabled)<br/>(env: LLAMA_ARG_TOP_P) |
| `--min-p N` | min-p sampling (default: 0.05, 0.0 = disabled)<br/>(env: LLAMA_ARG_MIN_P) |
| `--top-nsigma, --top-n-sigma N` | top-n-sigma sampling (default: -1.00, -1.0 = disabled) |
| `--xtc-probability N` | xtc probability (default: 0.00, 0.0 = disabled) |
| `--xtc-threshold N` | xtc threshold (default: 0.10, 1.0 = disabled) |
| `--typical, --typical-p N` | locally typical sampling, parameter p (default: 1.00, 1.0 = disabled) |
| `--repeat-last-n N` | last n tokens to consider for penalize (default: 64, 0 = disabled) |
| `--repeat-penalty N` | penalize repeat sequence of tokens (default: 1.00, 1.0 = disabled) |
| `--presence-penalty N` | repeat alpha presence penalty (default: 0.00, 0.0 = disabled) |
| `--frequency-penalty N` | repeat alpha frequency penalty (default: 0.00, 0.0 = disabled) |
| `--repeat-penalty N` | penalize repeat sequence of tokens (default: 1.00, 1.0 = disabled)<br/>(env: LLAMA_ARG_REPEAT_PENALTY) |
| `--presence-penalty N` | repeat alpha presence penalty (default: 0.00, 0.0 = disabled)<br/>(env: LLAMA_ARG_PRESENCE_PENALTY) |
| `--frequency-penalty N` | repeat alpha frequency penalty (default: 0.00, 0.0 = disabled)<br/>(env: LLAMA_ARG_FREQUENCY_PENALTY) |
| `--dry-multiplier N` | set DRY sampling multiplier (default: 0.00, 0.0 = disabled) |
| `--dry-base N` | set DRY sampling base value (default: 1.75) |
| `--dry-allowed-length N` | set allowed length for DRY sampling (default: 2) |