CLI Arguments and Flags
llamafile accepts two layers of command-line options:
Wrapper flags added by llamafile itself, such as
--server,--chat,--cli, and--gpu.The bundled
llama.cppflags that are passed through to chat, CLI, and server mode.
The examples on this page use llamafile as the executable name. This is the name of the standalone runtime distributed in the releases. A pre-built, model-bundled llamafile normally has a model-specific filename instead; use that filename in the same commands. For example, these commands display the same kind of help:
llamafile --help
./Qwen3.5-0.8B-Q8_0.llamafile --helpThe ./ prefix runs a downloaded file from the current directory on macOS, Linux, and BSD. On Windows, use the filename after adding the .exe suffix.
Discovering Available Options
Command-line options are scoped by execution mode rather than collected in a single mode-independent list. The complete user-facing interface is the union of the general and mode-specific help views:
llamafile --help
llamafile --server --help
llamafile --chat --help
llamafile --cli --helpThe top-level command is the reference for general llamafile wrapper flags. Each mode-specific command selects the matching llama.cpp parser and adds that mode's wrapper flags:
llamafile --help
Default combined-mode options and general llamafile wrapper flags.
llamafile --server --help
HTTP server, API, Web UI, slot, and server sandbox options.
llamafile --chat --help
Interactive chat, conversation, and multimodal options.
llamafile --cli --help
Single-prompt, output, sampling, and multimodal options.
For fuller descriptions and upstream examples, see the llama.cpp CLI argument reference and server argument reference. Those pages track the latest llama.cpp development version, so an option may differ from the version bundled in a particular llamafile. The help output from that llamafile is authoritative for its accepted options.
An option listed for one mode is not necessarily available in another. For example, --host, --port, and --slot-save-path configure the server, while --nothink is a CLI-mode option.
Since v0.10.4, each llama.cpp option list is generated by the same parser that accepts arguments for that mode. This keeps accepted options and their help entries in sync. Llamafile-specific wrapper options appear in the top-level help or in the relevant mode introduction.
Releases before v0.10.4 printed abbreviated hand-written help for the default, chat, and CLI modes. In those versions, --server --help provides the broadest option list, although it also contains server-only options.
Additional Accepted Parameter Spellings
The --gpu MODE help uses the canonical backend names but does not spell out all accepted compatibility aliases. Values are case-insensitive:
Backend
Accepted MODE values
Automatic selection
auto
NVIDIA CUDA
nvidia, cublas
AMD ROCm/HIP
amd, rocm, rocblas, hip
Apple Metal
apple, metal
Vulkan
vulkan, vk
CPU only
disable, disabled
Prefer the first value in each row in scripts. The aliases are retained for compatibility.
Commonly Used Flags
-t, --threads N
Number of CPU threads to use during generation.
-tb, --threads-batch N
Number of CPU threads to use during prompt and batch processing.
-c, --ctx-size N
Context window size. 0 means to use the model default.
-b, --batch-size N
Logical maximum batch size.
-ub, --ubatch-size N
Physical maximum batch size.
--mlock
Keep the model in RAM instead of letting the OS swap or compress it.
--repeat-penalty N
Penalize repeating tokens during sampling. 1.0 disables the penalty.
-ngl, --gpu-layers, --n-gpu-layers N
Number of layers to offload to GPU.
--host HOST
Server bind address.
--port PORT
Server listen port.
Wrapper and Mode Flags
Mode selection:
--server,--chat,--cliGeneral wrapper flags:
--gpu MODE,--unsecure,--version,--helpChat-only wrapper flags:
--nologo,--asciiCLI-only wrapper flags:
--nothinkServer-only wrapper flag:
--confine-reads
--unsecure disables the pledge/SECCOMP sandbox in modes where that sandbox is active. --confine-reads adds filesystem read confinement and only applies to --server mode.
Model, prompt, GPU-layer, and logging options such as -m, -p, -ngl, and --verbose come from the bundled llama.cpp parser rather than the llamafile wrapper.
Shared Flags Accepted by Chat, CLI, and Server
General, CPU, Context, and Batching
General help and shell integration:
-h,--help,--usage,--version,-cl,--cache-list,--completion-bash,--verbose-promptCPU scheduling and affinity:
-t,--threads,-tb,--threads-batch,-C,--cpu-mask,-Cr,--cpu-range,--cpu-strict,--prio,--poll,-Cb,--cpu-mask-batch,-Crb,--cpu-range-batch,--cpu-strict-batch,--prio-batch,--poll-batchContext and batching:
-c,--ctx-size,-n,--predict,--n-predict,-b,--batch-size,-ub,--ubatch-size,--keep,--swa-full,-fa,--flash-attnPrompt input:
-p,--prompt,-f,--file,-bf,--binary-file,-e,--escape,--no-escapeRoPE and YaRN:
--rope-scaling,--rope-scale,--rope-freq-base,--rope-freq-scale,--yarn-orig-ctx,--yarn-ext-factor,--yarn-attn-factor,--yarn-beta-slow,--yarn-beta-fast
Memory, KV Cache, and Offload
KV cache and host memory:
-kvo,--kv-offload,-nkvo,--no-kv-offload,--repack,-nr,--no-repack,--no-hostCache storage and defragmentation:
-ctk,--cache-type-k,-ctv,--cache-type-v,-dt,--defrag-tholdMemory mapping and residency:
--mlock,--mmap,--no-mmap,--numa,--check-tensors,--op-offload,--no-op-offloadDraft-model cache types:
-ctkd,--cache-type-k-draft,-ctvd,--cache-type-v-draft
Devices, GPU, Tensors, and Adapters
Devices and tensor placement:
-dev,--device,--list-devices,-ot,--override-tensorCPU MoE controls:
-cmoe,--cpu-moe,-ncmoe,--n-cpu-moeGPU offload controls:
-ngl,--gpu-layers,--n-gpu-layers,-sm,--split-mode,-ts,--tensor-split,-mg,--main-gpuAutomatic fitting:
-fit,--fit,-fitt,--fit-target,-fitc,--fit-ctxAdapters and metadata overrides:
--lora,--lora-scaled,--control-vector,--control-vector-scaled,--control-vector-layer-range,--override-kv
Model Selection, Downloads, and Logging
Model path and downloads:
-m,--model,-mu,--model-url,-dr,--docker-repoHugging Face and related model selectors:
-hf,-hfr,--hf-repo,-hfd,-hfrd,--hf-repo-draft,-hff,--hf-file,-hfv,-hfrv,--hf-repo-v,-hffv,--hf-file-v,-hft,--hf-tokenLogging and diagnostics:
--log-disable,--log-file,--log-colors,-v,--verbose,--log-verbose,--offline,-lv,--verbosity,--log-verbosity,--log-prefix,--log-timestamps,--perf,--no-perf
Sampling Flags
Sampling order and randomness:
--samplers,-s,--seed,--sampler-seq,--sampling-seq,--ignore-eosCore sampling controls:
--temp,--top-k,--top-p,--min-p,--top-nsigma,--xtc-probability,--xtc-threshold,--typicalRepetition controls:
--repeat-last-n,--repeat-penalty,--presence-penalty,--frequency-penaltyDRY and dynamic temperature:
--dry-multiplier,--dry-base,--dry-allowed-length,--dry-penalty-last-n,--dry-sequence-breaker,--dynatemp-range,--dynatemp-expMirostat and constrained output:
--mirostat,--mirostat-lr,--mirostat-ent,-l,--logit-bias,--grammar,--grammar-file,-j,--json-schema,-jf,--json-schema-file
CLI and Chat-Specific Flags
Output and interaction:
--display-prompt,--no-display-prompt,-co,--color,--show-timings,--no-show-timings,-cnv,--conversation,-no-cnv,--no-conversation,-st,--single-turn,-mli,--multiline-input,--simple-ioSystem prompt and stopping:
-sys,--system-prompt,-sysf,--system-prompt-file,-r,--reverse-prompt,-sp,--specialContext and cache management:
--ctx-checkpoints,--swa-checkpoints,-cram,--cache-ram,--context-shift,--no-context-shift,--warmup,--no-warmupParallel decode and multimodal input:
-np,--parallel,-mm,--mmproj,-mmu,--mmproj-url,--mmproj-auto,--no-mmproj,--no-mmproj-auto,--mmproj-offload,--no-mmproj-offload,--image,--audio,--image-min-tokens,--image-max-tokensDraft and speculative decoding:
-otd,--override-tensor-draft,-cmoed,--cpu-moe-draft,-ncmoed,--n-cpu-moe-draft,--draft,--draft-n,--draft-max,--draft-min,--draft-n-min,--draft-p-min,-cd,--ctx-size-draft,-devd,--device-draft,-ngld,--gpu-layers-draft,--n-gpu-layers-draft,-md,--model-draft,--spec-replaceChat templates and reasoning controls:
--chat-template-kwargs,--jinja,--no-jinja,--reasoning-format,--reasoning-budget,--chat-template,--chat-template-fileBuilt-in defaults:
--gpt-oss-20b-default,--gpt-oss-120b-default,--vision-gemma-4b-default,--vision-gemma-12b-default
-np, --parallel in CLI and chat mode controls the number of parallel sequences to decode.
Server-Only Flags
Server runtime and batching:
-kvu,--kv-unified,--spm-infill,--pooling,-np,--parallel,-cb,--cont-batching,-nocb,--no-cont-batching,--threads-http,--cache-reuseNetwork and API configuration:
-a,--alias,--host,--port,--path,--api-prefix,--api-key,--api-key-file,-to,--timeoutWeb UI and monitoring:
--webui-config,--webui-config-file,--webui,--no-webui,--metrics,--props,--slots,--no-slots,--slot-save-pathBuilt-in tools and agent mode:
--tools,-ag,--agent,-no-ag,--no-agent,--ui-mcp-proxy,--webui-mcp-proxy,--no-ui-mcp-proxy,--no-webui-mcp-proxyRouter and media:
--media-path,--models-dir,--models-preset,--models-max,--models-autoload,--no-models-autoloadEmbeddings, reranking, and TLS:
--embedding,--embeddings,--rerank,--reranking,--ssl-key-file,--ssl-cert-fileChat templating and slot behavior:
--chat-template-kwargs,--jinja,--no-jinja,--reasoning-format,--reasoning-budget,--chat-template,--chat-template-file,--prefill-assistant,--no-prefill-assistant,-sps,--slot-prompt-similarity,--lora-init-without-apply,--sleep-idle-secondsDraft, speculative decoding, and TTS:
-td,--threads-draft,-tbd,--threads-batch-draft,--draft,--draft-n,--draft-max,--draft-min,--draft-n-min,--draft-p-min,-cd,--ctx-size-draft,-devd,--device-draft,-ngld,--gpu-layers-draft,--n-gpu-layers-draft,-md,--model-draft,--spec-replace,-mv,--model-vocoder,--tts-use-guide-tokensBuilt-in server defaults:
--embd-gemma-default,--fim-qwen-1.5b-default,--fim-qwen-3b-default,--fim-qwen-7b-default,--fim-qwen-7b-spec,--fim-qwen-14b-spec,--fim-qwen-30b-default,--gpt-oss-20b-default,--gpt-oss-120b-default,--vision-gemma-4b-default,--vision-gemma-12b-default
-np, --parallel in server mode controls the number of server slots rather than the number of parallel decode sequences.
The Web UI is inherited from llama.cpp and may refer to its upstream server executable as llama-server. In those instructions, use the name of the llamafile executable instead. For example, llama-server --tools all becomes ./ModelName.llamafile --server --tools all for a model-bundled llamafile.
Notes
The lists above are a readable index, not a second source of truth. The help output from your executable reflects the exact bundled
llama.cppversion.If you are unsure whether a flag is shared, CLI-only, or server-only, check the help for that mode rather than relying on another mode's option list.
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