Environment variables

User-facing environment variables read by mistralrs or its build scripts. Standard Cargo build variables such as OUT_DIR and TARGET are omitted.

Hugging Face

Variable	Purpose
HF_HOME	Root of the Hugging Face cache. Default ~/.cache/huggingface.
HF_HUB_CACHE	Hugging Face hub cache location.
HF_TOKEN	Auth token. Overrides any token saved by mistralrs login at $HF_HOME/token.
HF_HUB_TOKEN	Auth token fallback when HF_TOKEN is not set.
HF_HUB_OFFLINE	Set to 1/true/yes/on to disable all Hugging Face Hub network calls. Files and listings are then served only from $HF_HUB_CACHE/$HF_HOME/hub, and a missing file errors out. Also skips the mistralrs doctor connectivity check.

If --token-source env:NAME is used, mistral.rs reads the environment variable named by NAME as the token source.

For the offline workflow (pre-downloading models, local paths), see run models.

Logging

Variable	Purpose
RUST_LOG	Override the tracing log filter. Examples: mistralrs_core=debug,tower_http=info, trace. CLI users can usually use -v or -vv instead.
MISTRALRS_DEBUG	MISTRALRS_DEBUG=1 enables extra debug-level engine tracing.

Quantization and loading

Variable	Purpose
MISTRALRS_NO_MMAP	MISTRALRS_NO_MMAP=1 loads safetensors without mmap.
MISTRALRS_ISQ_SINGLETHREAD	If set, runs ISQ (in-situ quantization) single-threaded.

CPU runtime

Variable	Purpose
RAYON_NUM_THREADS	Sets the default CPU worker count used by Candle and Rayon-backed CPU kernels unless a more specific variable is set.
CANDLE_NUM_THREADS	Sets Candle’s CPU worker count. This overrides the fallback from RAYON_NUM_THREADS for Candle’s own thread pools.
CANDLE_CPU_MASK	Linux only. Pins CPU worker threads to a cpulist such as 15-19 or 5-9,15-19. If no explicit thread-count variable is set, the mask size also becomes the default worker count.
CANDLE_CPU_AFFINITY	Linux only. Set to 1 to try Candle’s automatic high-capacity CPU affinity mask on heterogeneous CPUs. Default is off.
CANDLE_BARRIER_POOL_SPIN_LIMIT	Advanced CPU tuning. Overrides the spin count used by Candle’s persistent barrier pool before worker threads park.

See CPU threads and affinity for examples.

Sandbox

Variable	Purpose
MISTRALRS_SANDBOX	auto, on, or off. Overrides the sandbox only when the resolved mode is auto; on and off in CLI/TOML win. See sandbox reference.

Server and UI

Variable	Purpose
MCP_CONFIG_PATH	MCP (Model Context Protocol) client configuration path used when --mcp-config is not passed.
KEEP_ALIVE_INTERVAL	SSE (Server-Sent Events) keep-alive interval in milliseconds. Falls back to the default if missing or invalid.
MISTRALRS_ALLOW_RUNTIME_LORA_UPDATING	Set to 1, true, yes, or on to enable runtime LoRA load and unload endpoints. Disabled by default; the read-only route remains registered, but the target model must have a dynamic LoRA runtime. See LoRA adapters.
MISTRALRS_LORA_ADAPTER_ROOT	Canonical directory root allowed for runtime LoRA adapter paths. Use this whenever runtime LoRA updating is enabled in production.
XDG_CACHE_HOME	Base cache directory for web UI state. The UI uses $XDG_CACHE_HOME/mistralrs.
HOME	Fallback for web UI cache path when XDG_CACHE_HOME is not set.

CUDA acceleration

Variable	Purpose
MISTRALRS_CUDA_GRAPHS	CUDA graph acceleration is enabled by default when supported. Set to 0, false, no, or off to disable. See CUDA graphs.
MISTRALRS_DFLASH_ADAPTIVE	Set to 1 or true to use full DFlash draft depth for batches up to 2 and depth 1 above that. Only applies when --mtp-n-predict is not set.
MISTRALRS_DFLASH_ISQ	ISQ type for DFlash drafter weights (q4k, q6k, … or none for bf16); defaults to the target’s in-situ quantization type.
MISTRALRS_FLASHINFER_DECODE	Disables FlashInfer decode acceleration when set to 0, false, no, or off. Use only for compatibility troubleshooting.
MISTRALRS_GDN_DECODE_KERNEL	Overrides the CUDA GDN decode kernel for benchmarking or troubleshooting. Accepted values are auto (default), baseline, cooperative, pipelined, vmajor4, and vmajor32; an incompatible forced kernel returns an error. The value-major kernels need compute capability 8.0 or newer.
MISTRALRS_GDN_PREFILL_KERNEL	Overrides the CUDA GDN prefill kernel. Accepted values are auto (default), vmajor1, vmajor2, vmajor4, vmajor8, legacy-chunked, cutile (cuTile builds, head dim 128), and flashinfer-sm90 (Hopper builds only).
MISTRALRS_FP8_SM90_PROVIDER	Selects the SM90 provider for compatible 128x128 blockwise FP8 weights. DeepGEMM decode is selected automatically on Linux with CUDA 12.8 or newer; set cutlass to disable it, or deepgemm/auto to select it explicitly. Kernels are prepared before graph capture, with clean CUTLASS fallback when JIT or cache preparation is unavailable.
MISTRALRS_DEEPGEMM_CACHE_DIR	Overrides the owner-private, content-versioned DeepGEMM cubin and JIT-header cache. Defaults below XDG_CACHE_HOME, then ~/.cache.
MISTRALRS_DEEPGEMM_NVCC	Path to the nvcc executable used only when a DeepGEMM kernel is absent from the cache. A populated cache does not require runtime nvcc.
MISTRALRS_NO_MLA	Disables MLA acceleration for DeepSeek V2/V3 when set to 1. Use only for compatibility troubleshooting.
MISTRALRS_GGUF_AFFINE_BACKEND	Set to on to speed up GGUF matmuls at batch sizes of 8 or more. Off by default because it keeps a second copy of the quantized weights, taking that memory from the KV cache. Worth enabling for production serving with high concurrency.
MISTRALRS_MOE_BACKEND	Overrides the MoE experts backend. fused (also native, legacy, wmma) selects the fused CUDA kernels, cutile the cuTile grouped GEMM, cutlass the CUTLASS grouped GEMM, and fast the gather-based path used on Metal, CPU, and ISQ. Unset, the fastest eligible backend is chosen; on cuTile builds, checkpoints whose experts carry 128x128 block-FP8 scales use the cuTile blockwise FP8 grouped GEMM unless fast is forced.
MISTRALRS_CUTILE_TUNE	Controls the cuTile kernel autotuner that runs during warmup on cuTile builds. auto (default) reuses a persisted tuning record whose provenance (kernel source, GPU architecture, candidate set) matches and measures candidate configs for each registered kernel shape (MoE experts, FP8 GEMMs, routed LoRA) otherwise, force re-measures, and off uses the built-in policies.
MISTRALRS_CUTILE_TUNE_CACHE	Directory holding the autotuner’s records, one JSON file per kernel, shape, and GPU model. Defaults to cutile_tune under XDG_CACHE_HOME/mistralrs, then ~/.cache/mistralrs.
CUDA_TOOLKIT_PATH	CUDA toolkit root used by cuTile for headers, tileiras, and Tile IR bytecode compatibility. Recommended when multiple CUDA toolkits are installed.
CUTILE_TILEIRAS_PATH	Path to a specific tileiras executable. Takes precedence over CUDA_TOOLKIT_PATH and automatic discovery.
CUTILE_SETUP_DIAGNOSTICS	Set to 1 to print cuTile toolkit and tileiras discovery diagnostics.
CUTILE_JIT_LOG	Set to 1 to print cuTile JIT and persistent-cache diagnostics.
CUTILE_JIT_TIMING	If set, prints per-stage cuTile compilation timings and bounds-check placement counts.
CUTILE_BYTECODE_VERSION	Advanced override for the emitted Tile IR bytecode version, such as 13.2. Normally inferred from the selected toolkit or tileiras.

Multi-GPU and multi-node

Variable	Purpose
MISTRALRS_NO_NCCL	Disables NCCL for single-machine multi-GPU inference when set to 1. Also set this for ring deployments when the binary includes NCCL.
MISTRALRS_MN_GLOBAL_WORLD_SIZE	Total NCCL tensor-parallel world size across nodes. Presence of this variable enables multi-node NCCL mode.
MISTRALRS_MN_LOCAL_WORLD_SIZE	Local NCCL tensor-parallel size contributed by each node.
MISTRALRS_MN_HEAD_NUM_WORKERS	Set on the head node: number of worker nodes.
MISTRALRS_MN_HEAD_PORT	Set on the head node: listening port for worker connections.
MISTRALRS_MN_WORKER_SERVER_ADDR	Set on worker nodes: address of the head node.
MISTRALRS_MN_WORKER_ID	Set on worker nodes: worker index (0-based).
RING_CONFIG	Path to the ring backend JSON config. Setting it selects the ring backend when built with the ring feature. If the binary also has nccl, set MISTRALRS_NO_NCCL=1 as well.

See the distributed inference guide for use.

GPU memory

Variable	Purpose
MISTRALRS_IGPU_MEMORY_FRACTION	Fraction of integrated GPU memory usable on CUDA systems with iGPUs. Default 0.75.

Build-time

These are read by build scripts, not at runtime.

Variable	Purpose
MISTRALRS_METAL_PRECOMPILE	MISTRALRS_METAL_PRECOMPILE=0 skips Metal kernel precompilation at build time; kernels are compiled at runtime on first use. Also accepts false, no, and off.
MISTRALRS_METAL_PLATFORMS	Limits which Metal platform metallibs are precompiled. Accepts comma-separated macos, ios, tvos, or all; defaults to all platforms. For local macOS development, use MISTRALRS_METAL_PLATFORMS=macos.
CUDA_NVCC_FLAGS	Extra compiler options passed to CUDA builds.
MISTRALRS_INSTALL_TAG	Pins the installers to a specific release tag (e.g. v0.9.2): the prebuilt is downloaded from that release, and a source build checks out that git tag. Default is the latest stable release (prebuilt) or latest master (source).
MISTRALRS_INSTALL_FROM_SOURCE	MISTRALRS_INSTALL_FROM_SOURCE=1 makes the shell and PowerShell installers skip the prebuilt download and build from the latest master (bleeding edge) instead of the latest stable release.
MISTRALRS_INSTALL_NCCL	MISTRALRS_INSTALL_NCCL=1 forces the shell and PowerShell installers to add the nccl feature for CUDA builds even if NCCL is not detected.
MISTRALRS_INSTALL_NO_NCCL	MISTRALRS_INSTALL_NO_NCCL=1 makes the shell and PowerShell installers skip the nccl feature.
MISTRALRS_INSTALL_ALLOW_CUDA_MISMATCH	MISTRALRS_INSTALL_ALLOW_CUDA_MISMATCH=1 lets a source build continue when local nvcc is newer than the CUDA version reported by the NVIDIA driver.
MISTRALRS_INSTALL_YES	MISTRALRS_INSTALL_YES=1 auto-confirms every installer prompt (non-interactive installs for CI/containers; used by mistralrs update).
MISTRALRS_INSTALL_IGNORE_FFMPEG	MISTRALRS_INSTALL_IGNORE_FFMPEG=1 skips the installer’s FFmpeg step, leaving any existing FFmpeg untouched.
MISTRALRS_GIT_REVISION	Git revision embedded in the binary by the build script.

Internal

Not intended for direct use.

Variable	Purpose
__MISTRALRS_DAEMON_INTERNAL	Set by the engine on spawned worker processes.