From 08e9ff37fdef3c5eb38411ea1dbf0bf733721032 Mon Sep 17 00:00:00 2001 From: Developer BadStorm Date: Mon, 16 Feb 2026 15:37:15 +0100 Subject: [PATCH] Add Services/llamacpp.README --- Services/llamacpp.README | 532 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 532 insertions(+) create mode 100644 Services/llamacpp.README diff --git a/Services/llamacpp.README b/Services/llamacpp.README new file mode 100644 index 0000000..6f4ddfe --- /dev/null +++ b/Services/llamacpp.README @@ -0,0 +1,532 @@ +### Lllama.Cpp + +----- common params ----- + +-h, --help, --usage print usage and exit +--version show version and build info +--license show source code license and dependencies +-cl, --cache-list show list of models in cache +--completion-bash print source-able bash completion script for llama.cpp +--verbose-prompt print a verbose prompt before generation (default: false) +-t, --threads N number of CPU threads to use during generation (default: -1) + (env: LLAMA_ARG_THREADS) +-tb, --threads-batch N number of threads to use during batch and prompt processing (default: + same as --threads) +-C, --cpu-mask M CPU affinity mask: arbitrarily long hex. Complements cpu-range + (default: "") +-Cr, --cpu-range lo-hi range of CPUs for affinity. Complements --cpu-mask +--cpu-strict <0|1> use strict CPU placement (default: 0) +--prio N set process/thread priority : low(-1), normal(0), medium(1), high(2), + realtime(3) (default: 0) +--poll <0...100> use polling level to wait for work (0 - no polling, default: 50) +-Cb, --cpu-mask-batch M CPU affinity mask: arbitrarily long hex. Complements cpu-range-batch + (default: same as --cpu-mask) +-Crb, --cpu-range-batch lo-hi ranges of CPUs for affinity. Complements --cpu-mask-batch +--cpu-strict-batch <0|1> use strict CPU placement (default: same as --cpu-strict) +--prio-batch N set process/thread priority : 0-normal, 1-medium, 2-high, 3-realtime + (default: 0) +--poll-batch <0|1> use polling to wait for work (default: same as --poll) +-c, --ctx-size N size of the prompt context (default: 0, 0 = loaded from model) + (env: LLAMA_ARG_CTX_SIZE) +-n, --predict, --n-predict N number of tokens to predict (default: -1, -1 = infinity) + (env: LLAMA_ARG_N_PREDICT) +-b, --batch-size N logical maximum batch size (default: 2048) + (env: LLAMA_ARG_BATCH) +-ub, --ubatch-size N physical maximum batch size (default: 512) + (env: LLAMA_ARG_UBATCH) +--keep N number of tokens to keep from the initial prompt (default: 0, -1 = + all) +--swa-full use full-size SWA cache (default: false) + [(more + info)](https://github.com/ggml-org/llama.cpp/pull/13194#issuecomment-2868343055) + (env: LLAMA_ARG_SWA_FULL) +-fa, --flash-attn [on|off|auto] set Flash Attention use ('on', 'off', or 'auto', default: 'auto') + (env: LLAMA_ARG_FLASH_ATTN) +--perf, --no-perf whether to enable internal libllama performance timings (default: + false) + (env: LLAMA_ARG_PERF) +-e, --escape, --no-escape whether to process escapes sequences (\n, \r, \t, \', \", \\) + (default: true) +--rope-scaling {none,linear,yarn} RoPE frequency scaling method, defaults to linear unless specified by + the model + (env: LLAMA_ARG_ROPE_SCALING_TYPE) +--rope-scale N RoPE context scaling factor, expands context by a factor of N + (env: LLAMA_ARG_ROPE_SCALE) +--rope-freq-base N RoPE base frequency, used by NTK-aware scaling (default: loaded from + model) + (env: LLAMA_ARG_ROPE_FREQ_BASE) +--rope-freq-scale N RoPE frequency scaling factor, expands context by a factor of 1/N + (env: LLAMA_ARG_ROPE_FREQ_SCALE) +--yarn-orig-ctx N YaRN: original context size of model (default: 0 = model training + context size) + (env: LLAMA_ARG_YARN_ORIG_CTX) +--yarn-ext-factor N YaRN: extrapolation mix factor (default: -1.00, 0.0 = full + interpolation) + (env: LLAMA_ARG_YARN_EXT_FACTOR) +--yarn-attn-factor N YaRN: scale sqrt(t) or attention magnitude (default: -1.00) + (env: LLAMA_ARG_YARN_ATTN_FACTOR) +--yarn-beta-slow N YaRN: high correction dim or alpha (default: -1.00) + (env: LLAMA_ARG_YARN_BETA_SLOW) +--yarn-beta-fast N YaRN: low correction dim or beta (default: -1.00) + (env: LLAMA_ARG_YARN_BETA_FAST) +-kvo, --kv-offload, -nkvo, --no-kv-offload + whether to enable KV cache offloading (default: enabled) + (env: LLAMA_ARG_KV_OFFLOAD) +--repack, -nr, --no-repack whether to enable weight repacking (default: enabled) + (env: LLAMA_ARG_REPACK) +--no-host bypass host buffer allowing extra buffers to be used + (env: LLAMA_ARG_NO_HOST) +-ctk, --cache-type-k TYPE KV cache data type for K + allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1 + (default: f16) + (env: LLAMA_ARG_CACHE_TYPE_K) +-ctv, --cache-type-v TYPE KV cache data type for V + allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1 + (default: f16) + (env: LLAMA_ARG_CACHE_TYPE_V) +-dt, --defrag-thold N KV cache defragmentation threshold (DEPRECATED) + (env: LLAMA_ARG_DEFRAG_THOLD) +--rpc SERVERS comma separated list of RPC servers (host:port) + (env: LLAMA_ARG_RPC) +--mlock force system to keep model in RAM rather than swapping or compressing + (env: LLAMA_ARG_MLOCK) +--mmap, --no-mmap whether to memory-map model. (if mmap disabled, slower load but may + reduce pageouts if not using mlock) (default: enabled) + (env: LLAMA_ARG_MMAP) +-dio, --direct-io, -ndio, --no-direct-io + use DirectIO if available. (default: disabled) + (env: LLAMA_ARG_DIO) +--numa TYPE attempt optimizations that help on some NUMA systems + - distribute: spread execution evenly over all nodes + - isolate: only spawn threads on CPUs on the node that execution + started on + - numactl: use the CPU map provided by numactl + if run without this previously, it is recommended to drop the system + page cache before using this + see https://github.com/ggml-org/llama.cpp/issues/1437 + (env: LLAMA_ARG_NUMA) +-dev, --device comma-separated list of devices to use for offloading (none = don't + offload) + use --list-devices to see a list of available devices + (env: LLAMA_ARG_DEVICE) +--list-devices print list of available devices and exit +-ot, --override-tensor =,... + override tensor buffer type + (env: LLAMA_ARG_OVERRIDE_TENSOR) +-cmoe, --cpu-moe keep all Mixture of Experts (MoE) weights in the CPU + (env: LLAMA_ARG_CPU_MOE) +-ncmoe, --n-cpu-moe N keep the Mixture of Experts (MoE) weights of the first N layers in the + CPU + (env: LLAMA_ARG_N_CPU_MOE) +-ngl, --gpu-layers, --n-gpu-layers N max. number of layers to store in VRAM, either an exact number, + 'auto', or 'all' (default: auto) + (env: LLAMA_ARG_N_GPU_LAYERS) +-sm, --split-mode {none,layer,row} how to split the model across multiple GPUs, one of: + - none: use one GPU only + - layer (default): split layers and KV across GPUs + - row: split rows across GPUs + (env: LLAMA_ARG_SPLIT_MODE) +-ts, --tensor-split N0,N1,N2,... fraction of the model to offload to each GPU, comma-separated list of + proportions, e.g. 3,1 + (env: LLAMA_ARG_TENSOR_SPLIT) +-mg, --main-gpu INDEX the GPU to use for the model (with split-mode = none), or for + intermediate results and KV (with split-mode = row) (default: 0) + (env: LLAMA_ARG_MAIN_GPU) +-fit, --fit [on|off] whether to adjust unset arguments to fit in device memory ('on' or + 'off', default: 'on') + (env: LLAMA_ARG_FIT) +-fitt, --fit-target MiB0,MiB1,MiB2,... + target margin per device for --fit, comma-separated list of values, + single value is broadcast across all devices, default: 1024 + (env: LLAMA_ARG_FIT_TARGET) +-fitc, --fit-ctx N minimum ctx size that can be set by --fit option, default: 4096 + (env: LLAMA_ARG_FIT_CTX) +--check-tensors check model tensor data for invalid values (default: false) +--override-kv KEY=TYPE:VALUE,... advanced option to override model metadata by key. to specify multiple + overrides, either use comma-separated values. + types: int, float, bool, str. example: --override-kv + tokenizer.ggml.add_bos_token=bool:false,tokenizer.ggml.add_eos_token=bool:false +--op-offload, --no-op-offload whether to offload host tensor operations to device (default: true) +--lora FNAME path to LoRA adapter (use comma-separated values to load multiple + adapters) +--lora-scaled FNAME:SCALE,... path to LoRA adapter with user defined scaling (format: + FNAME:SCALE,...) + note: use comma-separated values +--control-vector FNAME add a control vector + note: use comma-separated values to add multiple control vectors +--control-vector-scaled FNAME:SCALE,... + add a control vector with user defined scaling SCALE + note: use comma-separated values (format: FNAME:SCALE,...) +--control-vector-layer-range START END + layer range to apply the control vector(s) to, start and end inclusive +-m, --model FNAME model path to load + (env: LLAMA_ARG_MODEL) +-mu, --model-url MODEL_URL model download url (default: unused) + (env: LLAMA_ARG_MODEL_URL) +-dr, --docker-repo [/][:quant] + Docker Hub model repository. repo is optional, default to ai/. quant + is optional, default to :latest. + example: gemma3 + (default: unused) + (env: LLAMA_ARG_DOCKER_REPO) +-hf, -hfr, --hf-repo /[:quant] + Hugging Face model repository; quant is optional, case-insensitive, + default to Q4_K_M, or falls back to the first file in the repo if + Q4_K_M doesn't exist. + mmproj is also downloaded automatically if available. to disable, add + --no-mmproj + example: unsloth/phi-4-GGUF:q4_k_m + (default: unused) + (env: LLAMA_ARG_HF_REPO) +-hfd, -hfrd, --hf-repo-draft /[:quant] + Same as --hf-repo, but for the draft model (default: unused) + (env: LLAMA_ARG_HFD_REPO) +-hff, --hf-file FILE Hugging Face model file. If specified, it will override the quant in + --hf-repo (default: unused) + (env: LLAMA_ARG_HF_FILE) +-hfv, -hfrv, --hf-repo-v /[:quant] + Hugging Face model repository for the vocoder model (default: unused) + (env: LLAMA_ARG_HF_REPO_V) +-hffv, --hf-file-v FILE Hugging Face model file for the vocoder model (default: unused) + (env: LLAMA_ARG_HF_FILE_V) +-hft, --hf-token TOKEN Hugging Face access token (default: value from HF_TOKEN environment + variable) + (env: HF_TOKEN) +--log-disable Log disable +--log-file FNAME Log to file + (env: LLAMA_LOG_FILE) +--log-colors [on|off|auto] Set colored logging ('on', 'off', or 'auto', default: 'auto') + 'auto' enables colors when output is to a terminal + (env: LLAMA_LOG_COLORS) +-v, --verbose, --log-verbose Set verbosity level to infinity (i.e. log all messages, useful for + debugging) +--offline Offline mode: forces use of cache, prevents network access + (env: LLAMA_OFFLINE) +-lv, --verbosity, --log-verbosity N Set the verbosity threshold. Messages with a higher verbosity will be + ignored. Values: + - 0: generic output + - 1: error + - 2: warning + - 3: info + - 4: debug + (default: 3) + + (env: LLAMA_LOG_VERBOSITY) +--log-prefix Enable prefix in log messages + (env: LLAMA_LOG_PREFIX) +--log-timestamps Enable timestamps in log messages + (env: LLAMA_LOG_TIMESTAMPS) +-ctkd, --cache-type-k-draft TYPE KV cache data type for K for the draft model + allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1 + (default: f16) + (env: LLAMA_ARG_CACHE_TYPE_K_DRAFT) +-ctvd, --cache-type-v-draft TYPE KV cache data type for V for the draft model + allowed values: f32, f16, bf16, q8_0, q4_0, q4_1, iq4_nl, q5_0, q5_1 + (default: f16) + (env: LLAMA_ARG_CACHE_TYPE_V_DRAFT) + + +----- sampling params ----- + +--samplers SAMPLERS samplers that will be used for generation in the order, separated by + ';' + (default: + penalties;dry;top_n_sigma;top_k;typ_p;top_p;min_p;xtc;temperature) +-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 N temperature (default: 0.80) +--top-k N top-k sampling (default: 40, 0 = disabled) + (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-nsigma 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 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, -1 + = ctx_size) +--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) +--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) +--dry-penalty-last-n N set DRY penalty for the last n tokens (default: -1, 0 = disable, -1 = + context size) +--dry-sequence-breaker STRING add sequence breaker for DRY sampling, clearing out default breakers + ('\n', ':', '"', '*') in the process; use "none" to not use any + sequence breakers +--adaptive-target N adaptive-p: select tokens near this probability (valid range 0.0 to + 1.0; negative = disabled) (default: -1.00) + [(more info)](https://github.com/ggml-org/llama.cpp/pull/17927) +--adaptive-decay N adaptive-p: decay rate for target adaptation over time. lower values + are more reactive, higher values are more stable. + (valid range 0.0 to 0.99) (default: 0.90) +--dynatemp-range N dynamic temperature range (default: 0.00, 0.0 = disabled) +--dynatemp-exp N dynamic temperature exponent (default: 1.00) +--mirostat N use Mirostat sampling. + Top K, Nucleus and Locally Typical samplers are ignored if used. + (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0) +--mirostat-lr N Mirostat learning rate, parameter eta (default: 0.10) +--mirostat-ent N Mirostat target entropy, parameter tau (default: 5.00) +-l, --logit-bias TOKEN_ID(+/-)BIAS modifies the likelihood of token appearing in the completion, + i.e. `--logit-bias 15043+1` to increase likelihood of token ' Hello', + or `--logit-bias 15043-1` to decrease likelihood of token ' Hello' +--grammar GRAMMAR BNF-like grammar to constrain generations (see samples in grammars/ + dir) (default: '') +--grammar-file FNAME file to read grammar from +-j, --json-schema SCHEMA JSON schema to constrain generations (https://json-schema.org/), e.g. + `{}` for any JSON object + For schemas w/ external $refs, use --grammar + + example/json_schema_to_grammar.py instead +-jf, --json-schema-file FILE File containing a JSON schema to constrain generations + (https://json-schema.org/), e.g. `{}` for any JSON object + For schemas w/ external $refs, use --grammar + + example/json_schema_to_grammar.py instead +-bs, --backend-sampling enable backend sampling (experimental) (default: disabled) + (env: LLAMA_ARG_BACKEND_SAMPLING) + + +----- example-specific params ----- + +-lcs, --lookup-cache-static FNAME path to static lookup cache to use for lookup decoding (not updated by + generation) +-lcd, --lookup-cache-dynamic FNAME path to dynamic lookup cache to use for lookup decoding (updated by + generation) +--ctx-checkpoints, --swa-checkpoints N + max number of context checkpoints to create per slot (default: + 8)[(more info)](https://github.com/ggml-org/llama.cpp/pull/15293) + (env: LLAMA_ARG_CTX_CHECKPOINTS) +-cram, --cache-ram N set the maximum cache size in MiB (default: 8192, -1 - no limit, 0 - + disable)[(more + info)](https://github.com/ggml-org/llama.cpp/pull/16391) + (env: LLAMA_ARG_CACHE_RAM) +-kvu, --kv-unified, -no-kvu, --no-kv-unified + use single unified KV buffer shared across all sequences (default: + enabled if number of slots is auto) + (env: LLAMA_ARG_KV_UNIFIED) +--context-shift, --no-context-shift whether to use context shift on infinite text generation (default: + disabled) + (env: LLAMA_ARG_CONTEXT_SHIFT) +-r, --reverse-prompt PROMPT halt generation at PROMPT, return control in interactive mode +-sp, --special special tokens output enabled (default: false) +--warmup, --no-warmup whether to perform warmup with an empty run (default: enabled) +--spm-infill use Suffix/Prefix/Middle pattern for infill (instead of + Prefix/Suffix/Middle) as some models prefer this. (default: disabled) +--pooling {none,mean,cls,last,rank} pooling type for embeddings, use model default if unspecified + (env: LLAMA_ARG_POOLING) +-np, --parallel N number of server slots (default: -1, -1 = auto) + (env: LLAMA_ARG_N_PARALLEL) +-cb, --cont-batching, -nocb, --no-cont-batching + whether to enable continuous batching (a.k.a dynamic batching) + (default: enabled) + (env: LLAMA_ARG_CONT_BATCHING) +-mm, --mmproj FILE path to a multimodal projector file. see tools/mtmd/README.md + note: if -hf is used, this argument can be omitted + (env: LLAMA_ARG_MMPROJ) +-mmu, --mmproj-url URL URL to a multimodal projector file. see tools/mtmd/README.md + (env: LLAMA_ARG_MMPROJ_URL) +--mmproj-auto, --no-mmproj, --no-mmproj-auto + whether to use multimodal projector file (if available), useful when + using -hf (default: enabled) + (env: LLAMA_ARG_MMPROJ_AUTO) +--mmproj-offload, --no-mmproj-offload whether to enable GPU offloading for multimodal projector (default: + enabled) + (env: LLAMA_ARG_MMPROJ_OFFLOAD) +--image-min-tokens N minimum number of tokens each image can take, only used by vision + models with dynamic resolution (default: read from model) + (env: LLAMA_ARG_IMAGE_MIN_TOKENS) +--image-max-tokens N maximum number of tokens each image can take, only used by vision + models with dynamic resolution (default: read from model) + (env: LLAMA_ARG_IMAGE_MAX_TOKENS) +-otd, --override-tensor-draft =,... + override tensor buffer type for draft model +-cmoed, --cpu-moe-draft keep all Mixture of Experts (MoE) weights in the CPU for the draft + model + (env: LLAMA_ARG_CPU_MOE_DRAFT) +-ncmoed, --n-cpu-moe-draft N keep the Mixture of Experts (MoE) weights of the first N layers in the + CPU for the draft model + (env: LLAMA_ARG_N_CPU_MOE_DRAFT) +-a, --alias STRING set alias for model name (to be used by REST API) + (env: LLAMA_ARG_ALIAS) +--host HOST ip address to listen, or bind to an UNIX socket if the address ends + with .sock (default: 127.0.0.1) + (env: LLAMA_ARG_HOST) +--port PORT port to listen (default: 8080) + (env: LLAMA_ARG_PORT) +--path PATH path to serve static files from (default: ) + (env: LLAMA_ARG_STATIC_PATH) +--api-prefix PREFIX prefix path the server serves from, without the trailing slash + (default: ) + (env: LLAMA_ARG_API_PREFIX) +--webui-config JSON JSON that provides default WebUI settings (overrides WebUI defaults) + (env: LLAMA_ARG_WEBUI_CONFIG) +--webui-config-file PATH JSON file that provides default WebUI settings (overrides WebUI + defaults) + (env: LLAMA_ARG_WEBUI_CONFIG_FILE) +--webui, --no-webui whether to enable the Web UI (default: enabled) + (env: LLAMA_ARG_WEBUI) +--embedding, --embeddings restrict to only support embedding use case; use only with dedicated + embedding models (default: disabled) + (env: LLAMA_ARG_EMBEDDINGS) +--rerank, --reranking enable reranking endpoint on server (default: disabled) + (env: LLAMA_ARG_RERANKING) +--api-key KEY API key to use for authentication, multiple keys can be provided as a + comma-separated list (default: none) + (env: LLAMA_API_KEY) +--api-key-file FNAME path to file containing API keys (default: none) +--ssl-key-file FNAME path to file a PEM-encoded SSL private key + (env: LLAMA_ARG_SSL_KEY_FILE) +--ssl-cert-file FNAME path to file a PEM-encoded SSL certificate + (env: LLAMA_ARG_SSL_CERT_FILE) +--chat-template-kwargs STRING sets additional params for the json template parser, must be a valid + json object string, e.g. '{"key1":"value1","key2":"value2"}' + (env: LLAMA_CHAT_TEMPLATE_KWARGS) +-to, --timeout N server read/write timeout in seconds (default: 600) + (env: LLAMA_ARG_TIMEOUT) +--threads-http N number of threads used to process HTTP requests (default: -1) + (env: LLAMA_ARG_THREADS_HTTP) +--cache-prompt, --no-cache-prompt whether to enable prompt caching (default: enabled) + (env: LLAMA_ARG_CACHE_PROMPT) +--cache-reuse N min chunk size to attempt reusing from the cache via KV shifting, + requires prompt caching to be enabled (default: 0) + [(card)](https://ggml.ai/f0.png) + (env: LLAMA_ARG_CACHE_REUSE) +--metrics enable prometheus compatible metrics endpoint (default: disabled) + (env: LLAMA_ARG_ENDPOINT_METRICS) +--props enable changing global properties via POST /props (default: disabled) + (env: LLAMA_ARG_ENDPOINT_PROPS) +--slots, --no-slots expose slots monitoring endpoint (default: enabled) + (env: LLAMA_ARG_ENDPOINT_SLOTS) +--slot-save-path PATH path to save slot kv cache (default: disabled) +--media-path PATH directory for loading local media files; files can be accessed via + file:// URLs using relative paths (default: disabled) +--models-dir PATH directory containing models for the router server (default: disabled) + (env: LLAMA_ARG_MODELS_DIR) +--models-preset PATH path to INI file containing model presets for the router server + (default: disabled) + (env: LLAMA_ARG_MODELS_PRESET) +--models-max N for router server, maximum number of models to load simultaneously + (default: 4, 0 = unlimited) + (env: LLAMA_ARG_MODELS_MAX) +--models-autoload, --no-models-autoload + for router server, whether to automatically load models (default: + enabled) + (env: LLAMA_ARG_MODELS_AUTOLOAD) +--jinja, --no-jinja whether to use jinja template engine for chat (default: enabled) + (env: LLAMA_ARG_JINJA) +--reasoning-format FORMAT controls whether thought tags are allowed and/or extracted from the + response, and in which format they're returned; one of: + - none: leaves thoughts unparsed in `message.content` + - deepseek: puts thoughts in `message.reasoning_content` + - deepseek-legacy: keeps `` tags in `message.content` while + also populating `message.reasoning_content` + (default: auto) + (env: LLAMA_ARG_THINK) +--reasoning-budget N controls the amount of thinking allowed; currently only one of: -1 for + unrestricted thinking budget, or 0 to disable thinking (default: -1) + (env: LLAMA_ARG_THINK_BUDGET) +--chat-template JINJA_TEMPLATE set custom jinja chat template (default: template taken from model's + metadata) + if suffix/prefix are specified, template will be disabled + only commonly used templates are accepted (unless --jinja is set + before this flag): + list of built-in templates: + bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, + command-r, deepseek, deepseek2, deepseek3, exaone-moe, exaone3, + exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, + hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, + llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, + mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, + mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, + phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, + yandex, zephyr + (env: LLAMA_ARG_CHAT_TEMPLATE) +--chat-template-file JINJA_TEMPLATE_FILE + set custom jinja chat template file (default: template taken from + model's metadata) + if suffix/prefix are specified, template will be disabled + only commonly used templates are accepted (unless --jinja is set + before this flag): + list of built-in templates: + bailing, bailing-think, bailing2, chatglm3, chatglm4, chatml, + command-r, deepseek, deepseek2, deepseek3, exaone-moe, exaone3, + exaone4, falcon3, gemma, gigachat, glmedge, gpt-oss, granite, grok-2, + hunyuan-dense, hunyuan-moe, kimi-k2, llama2, llama2-sys, + llama2-sys-bos, llama2-sys-strip, llama3, llama4, megrez, minicpm, + mistral-v1, mistral-v3, mistral-v3-tekken, mistral-v7, + mistral-v7-tekken, monarch, openchat, orion, pangu-embedded, phi3, + phi4, rwkv-world, seed_oss, smolvlm, solar-open, vicuna, vicuna-orca, + yandex, zephyr + (env: LLAMA_ARG_CHAT_TEMPLATE_FILE) +--prefill-assistant, --no-prefill-assistant + whether to prefill the assistant's response if the last message is an + assistant message (default: prefill enabled) + when this flag is set, if the last message is an assistant message + then it will be treated as a full message and not prefilled + + (env: LLAMA_ARG_PREFILL_ASSISTANT) +-sps, --slot-prompt-similarity SIMILARITY + how much the prompt of a request must match the prompt of a slot in + order to use that slot (default: 0.10, 0.0 = disabled) +--lora-init-without-apply load LoRA adapters without applying them (apply later via POST + /lora-adapters) (default: disabled) +--sleep-idle-seconds SECONDS number of seconds of idleness after which the server will sleep + (default: -1; -1 = disabled) +-td, --threads-draft N number of threads to use during generation (default: same as + --threads) +-tbd, --threads-batch-draft N number of threads to use during batch and prompt processing (default: + same as --threads-draft) +--draft, --draft-n, --draft-max N number of tokens to draft for speculative decoding (default: 16) + (env: LLAMA_ARG_DRAFT_MAX) +--draft-min, --draft-n-min N minimum number of draft tokens to use for speculative decoding + (default: 0) + (env: LLAMA_ARG_DRAFT_MIN) +--draft-p-min P minimum speculative decoding probability (greedy) (default: 0.75) + (env: LLAMA_ARG_DRAFT_P_MIN) +-cd, --ctx-size-draft N size of the prompt context for the draft model (default: 0, 0 = loaded + from model) + (env: LLAMA_ARG_CTX_SIZE_DRAFT) +-devd, --device-draft comma-separated list of devices to use for offloading the draft model + (none = don't offload) + use --list-devices to see a list of available devices +-ngld, --gpu-layers-draft, --n-gpu-layers-draft N + max. number of draft model layers to store in VRAM, either an exact + number, 'auto', or 'all' (default: auto) + (env: LLAMA_ARG_N_GPU_LAYERS_DRAFT) +-md, --model-draft FNAME draft model for speculative decoding (default: unused) + (env: LLAMA_ARG_MODEL_DRAFT) +--spec-replace TARGET DRAFT translate the string in TARGET into DRAFT if the draft model and main + model are not compatible +--spec-type [none|ngram-cache|ngram-simple|ngram-map-k|ngram-map-k4v|ngram-mod] + type of speculative decoding to use when no draft model is provided + (default: none) +--spec-ngram-size-n N ngram size N for ngram-simple/ngram-map speculative decoding, length + of lookup n-gram (default: 12) +--spec-ngram-size-m N ngram size M for ngram-simple/ngram-map speculative decoding, length + of draft m-gram (default: 48) +--spec-ngram-min-hits N minimum hits for ngram-map speculative decoding (default: 1) +-mv, --model-vocoder FNAME vocoder model for audio generation (default: unused) +--tts-use-guide-tokens Use guide tokens to improve TTS word recall +--embd-gemma-default use default EmbeddingGemma model (note: can download weights from the + internet) +--fim-qwen-1.5b-default use default Qwen 2.5 Coder 1.5B (note: can download weights from the + internet) +--fim-qwen-3b-default use default Qwen 2.5 Coder 3B (note: can download weights from the + internet) +--fim-qwen-7b-default use default Qwen 2.5 Coder 7B (note: can download weights from the + internet) +--fim-qwen-7b-spec use Qwen 2.5 Coder 7B + 0.5B draft for speculative decoding (note: can + download weights from the internet) +--fim-qwen-14b-spec use Qwen 2.5 Coder 14B + 0.5B draft for speculative decoding (note: + can download weights from the internet) +--fim-qwen-30b-default use default Qwen 3 Coder 30B A3B Instruct (note: can download weights + from the internet) +--gpt-oss-20b-default use gpt-oss-20b (note: can download weights from the internet) +--gpt-oss-120b-default use gpt-oss-120b (note: can download weights from the internet) +--vision-gemma-4b-default use Gemma 3 4B QAT (note: can download weights from the internet) +--vision-gemma-12b-default use Gemma 3 12B QAT (note: can download weights from the internet)