Support Features on Ascend NPU

This section describes the basic functions and features supported by the Ascend NPU.If you encounter issues or have any questions, please open an issue. If you want to know the meaning and usage of each parameter, click Server Arguments.

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Model and tokenizer

Argument	Defaults	Options	Server supported
--model-path --model	None	Type: str	A2, A3
--tokenizer-path	None	Type: str	A2, A3
--tokenizer-mode	auto	auto, slow	A2, A3
--tokenizer-worker-num	1	Type: int	A2, A3
--skip-tokenizer-init	False	bool flag (set to enable)	A2, A3
--load-format	auto	auto, safetensors	A2, A3
--model-loader- extra-config	Type: str	A2, A3
--trust-remote-code	False	bool flag (set to enable)	A2, A3
--context-length	None	Type: int	A2, A3
--is-embedding	False	bool flag (set to enable)	A2, A3
--enable-multimodal	None	bool flag (set to enable)	A2, A3
--revision	None	Type: str	A2, A3
--model-impl	auto	auto, sglang,<br/> transformers	A2, A3

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HTTP server

Argument	Defaults	Options	Server supported
--host	127.0.0.1	Type: str	A2, A3
--port	30000	Type: int	A2, A3
--skip-server-warmup	False	bool flag (set to enable)	A2, A3
--warmups	None	Type: str	A2, A3
--nccl-port	None	Type: int	A2, A3
--fastapi-root-path	None	Type: str	A2, A3
--grpc-mode	False	False	Planned

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Quantization and data type

Argument	Defaults	Options	Server supported
--dtype	auto	auto,<br/> float16,<br/> bfloat16	A2, A3
--quantization	None	modelslim	A2, A3
--quantization-param-path	None	Type: str	Special For GPU
--kv-cache-dtype	auto	auto	A2, A3
--enable-fp32-lm-head	False	bool flag (set to enable)	A2, A3
--modelopt-quant	None	Type: str	Special For GPU
--modelopt-checkpoint- restore-path	None	Type: str	Special For GPU
--modelopt-checkpoint- save-path	None	Type: str	Special For GPU
--modelopt-export-path	None	Type: str	Special For GPU
--quantize-and-serve	False	bool flag (set to enable)	Special For GPU
--rl-quant-profile	None	Type: str	Special For GPU

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Memory and scheduling

Argument	Defaults	Options	Server supported
--mem-fraction-static	None	Type: float	A2, A3
--max-running-requests	None	Type: int	A2, A3
--prefill-max-requests	None	Type: int	A2, A3
--max-queued-requests	None	Type: int	A2, A3
--max-total-tokens	None	Type: int	A2, A3
--chunked-prefill-size	None	Type: int	A2, A3
--max-prefill-tokens	16384	Type: int	A2, A3
--schedule-policy	fcfs	lpm, fcfs	A2, A3
--enable-priority- scheduling	False	bool flag (set to enable)	A2, A3
--schedule-low-priority- values-first	False	bool flag (set to enable)	A2, A3
--priority-scheduling- preemption-threshold	10	Type: int	A2, A3
--schedule-conservativeness	1.0	Type: float	A2, A3
--page-size	128	Type: int	A2, A3
--swa-full-tokens-ratio	0.8	Type: float	Planned
--disable-hybrid-swa-memory	False	bool flag (set to enable)	Planned
—radix-eviction-policy	lru	lru,<br/>lfu	A2, A3
—enable-prefill-delayer	False	bool flag (set to enable)	A2, A3
—prefill-delayer-max-delay-passes	30	Type: int	A2, A3
—prefill-delayer-token-usage-low-watermark	None	Type: float	A2, A3
—prefill-delayer-forward-passes-buckets	None	List[float]	A2, A3
—prefill-delayer-wait-seconds-buckets	None	List[float]	A2, A3
—abort-on-priority-<br/>when-disabled	False	bool flag (set to enable)	A2, A3
--enable-dynamic-chunking	False	bool flag (set to enable)	Experimental

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Runtime options

Argument	Defaults	Options	Server supported
--device	None	Type: str	A2, A3
--tensor-parallel-size --tp-size	1	Type: int	A2, A3
--pipeline-parallel-size --pp-size	1	Type: int; Currently 2 not supported	Experimental
—attention-context-parallel-size<br/>—attn-cp-size	1	Type: int; must be equal to —tp-size	A2, A3
—moe-data-parallel-size<br/>—moe-dp-size	1	Type: int	Planned
—pp-max-micro-batch-size	None	Type: int	Experimental
—pp-async-batch-depth	None	Type: int	Experimental
—stream-interval	1	Type: int	A2, A3
—incremental-streaming-output	False	bool flag (set to enable)	A2, A3
—random-seed	None	Type: int	A2, A3
—constrained-json-<br/>whitespace-pattern	None	Type: str	A2, A3
—constrained-json-<br/>disable-any-whitespace	False	bool flag (set to enable)	A2, A3
—watchdog-timeout	300	Type: float	A2, A3
—soft-watchdog-timeout	300	Type: float	A2, A3
—dist-timeout	None	Type: int	A2, A3
—download-dir	None	Type: str	A2, A3
—model-checksum	None	Type: str	Planned
—base-gpu-id	0	Type: int	A2, A3
—gpu-id-step	1	Type: int	A2, A3
—sleep-on-idle	False	bool flag (set to enable)	A2, A3

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Logging

Argument	Defaults	Options	Server supported
--log-level	info	Type: str	A2, A3
--log-level-http	None	Type: str	A2, A3
--log-requests	False	bool flag (set to enable)	A2, A3
--log-requests-level	2	0, 1, 2, 3	A2, A3
--log-requests-format	text	text, json	A2, A3
--crash-dump-folder	None	Type: str	A2, A3
--enable-metrics	False	bool flag (set to enable)	A2, A3
--enable-metrics-for- all-schedulers	False	bool flag (set to enable)	A2, A3
--tokenizer-metrics- custom-labels-header	x-custom-labels	Type: str	A2, A3
--tokenizer-metrics- allowed-custom-labels	None	List[str]	A2, A3
--bucket-time-to- first-token	None	List[float]	A2, A3
--bucket-inter-token- latency	None	List[float]	A2, A3
--bucket-e2e-request- latency	None	List[float]	A2, A3
--collect-tokens- histogram	False	bool flag (set to enable)	A2, A3
--prompt-tokens-buckets	None	List[str]	A2, A3
--generation-tokens-buckets	None	List[str]	A2, A3
--gc-warning-threshold-secs	0.0	Type: float	A2, A3
--decode-log-interval	40	Type: int	A2, A3
--enable-request-time- stats-logging	False	bool flag (set to enable)	A2, A3
--kv-events-config	None	Type: str	Special for GPU
--enable-trace	False	bool flag (set to enable)	A2, A3
--oltp-traces-endpoint	localhost:4317	Type: str	A2, A3
—log-requests-target	None	Type: str	A2, A3
—uvicorn-access-log-exclude-prefixes	[]	List[str]	A2, A3

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RequestMetricsExporter configuration

Argument	Defaults	Options	Server supported
--export-metrics-to- file	False	bool flag (set to enable)	A2, A3
--export-metrics-to- file-dir	None	Type: str	A2, A3

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API related

Argument	Defaults	Options	Server supported
--api-key	None	Type: str	A2, A3
--admin-api-key	None	Type: str	A2, A3
--served-model-name	None	Type: str	A2, A3
--weight-version	default	Type: str	A2, A3
--chat-template	None	Type: str	A2, A3
—hf-chat-template-name	None	Type: str	A2, A3
—completion-template	None	Type: str	A2, A3
—enable-cache-report	False	bool flag<br/> (set to enable)	A2, A3
—reasoning-parser	None	deepseek-r1<br/>deepseek-v3<br/>glm45<br/>gpt-oss<br/>kimi<br/>qwen3<br/>qwen3-thinking<br/>step3	A2, A3
—tool-call-parser	None	llama3<br/> pythonic<br/> qwen<br/> qwen3_coder	A2, A3
--sampling-defaults	model	openai, model	A2, A3

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Data parallelism

Argument	Defaults	Options	Server supported
--data-parallel-size --dp-size	1	Type: int	A2, A3
--load-balance-method	auto	auto,<br/> round_robin,<br/> follow_bootstrap_room,<br/> total_requests,<br/> total_tokens	A2, A3

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Multi-node distributed serving

Argument	Defaults	Options	Server supported
--dist-init-addr --nccl-init-addr	None	Type: str	A2, A3
--nnodes	1	Type: int	A2, A3
--node-rank	0	Type: int	A2, A3

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Model override args

Argument	Defaults	Options	Server supported
--json-model-override- args	{}	Type: str	A2, A3
--preferred-sampling- params	None	Type: str	A2, A3

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LoRA

Argument	Defaults	Options	Server supported
--enable-lora	False	Bool flag (set to enable)	A2, A3
—enable-lora-overlap-loading	False	Bool flag <br/>(set to enable)	A2, A3
—max-lora-rank	None	Type: int	A2, A3
—lora-target-modules	None	all	A2, A3
—lora-paths	None	Type: List[str] /<br/> JSON objects	A2, A3
—max-loras-per-batch	8	Type: int	A2, A3
—max-loaded-loras	None	Type: int	A2, A3
—lora-eviction-policy	lru	lru,<br/> fifo	A2, A3
—lora-backend	csgmv	triton,<br/>csgmv,<br/>ascend,<br/>torch_native	A2, A3
--max-lora-chunk-size	16	16, 32,<br/> 64, 128	Special for GPU

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Kernel Backends (Attention, Sampling, Grammar, GEMM)

Argument	Defaults	Options	Server supported
--attention-backend	None	ascend	A2, A3
--prefill-attention-backend	None	ascend	A2, A3
--decode-attention-backend	None	ascend	A2, A3
--sampling-backend	None	pytorch,<br/>ascend	A2, A3
--grammar-backend	None	xgrammar	A2, A3
--mm-attention-backend	None	ascend_attn	A2, A3
--nsa-prefill-backend	flashmla_sparse	flashmla_sparse,<br/> flashmla_decode,<br/>fa3,<br/> tilelang,<br/> aiter	Special for GPU
--nsa-decode-backend	fa3	flashmla_prefill,<br/> flashmla_kv,<br/> fa3,<br/>tilelang,<br/> aiter	Special for GPU
--fp8-gemm-backend	auto	auto,<br/> deep_gemm,<br/> flashinfer_trtllm,<br/>flashinfer_cutlass,<br/>flashinfer_deepgemm,<br/>cutlass,<br/> triton,<br/> aiter	Special for GPU
--disable-flashinfer- autotune	False	bool flag (set to enable)	Special for GPU

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Speculative decoding

Argument	Defaults	Options	Server supported
--speculative-algorithm	None	EAGLE3,<br/> NEXTN	A2, A3
--speculative-draft-model-path --speculative-draft-model	None	Type: str	A2, A3
--speculative-draft-model- revision	None	Type: str,<br/> branch name,<br/> tag name,<br/> commit id	A2, A3
--speculative-draft-load-format	auto	auto,<br/> dummy	A2, A3
--speculative-num-steps	None	Type: int	A2, A3
--speculative-eagle-topk	None	Type: int	A2, A3
--speculative-num-draft-tokens	None	Type: int	A2, A3
--speculative-accept- threshold-single	1.0	Type: float	Special for GPU
--speculative-accept- threshold-acc	1.0	Type: float	Special for GPU
--speculative-token-map	None	Type: str	A2, A3
--speculative-attention- mode	prefill	prefill,<br/> decode	A2, A3
--speculative-moe-runner- backend	None	auto	A2, A3
--speculative-moe-a2a- backend	None	ascend_fuseep	A2, A3
--speculative-draft-attention-backend	None	ascend	A2, A3
--speculative-draft-model-quantization	None	unquant	A2, A3

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Ngram speculative decoding

Argument	Defaults	Options	Server supported
--speculative-ngram- min-match-window-size	1	Type: int	Experimental
--speculative-ngram- max-match-window-size	12	Type: int	Experimental
--speculative-ngram- min-bfs-breadth	1	Type: int	Experimental
--speculative-ngram- max-bfs-breadth	10	Type: int	Experimental
--speculative-ngram- match-type	BFS	BFS,<br/> PROB	Experimental. BFS uses recency-based expansion; PROB uses frequency-based expansion.
—speculative-ngram-<br/>max-trie-depth	18	Type: int	Experimental
--speculative-ngram- capacity	10000000	Type: int	Experimental

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Expert parallelism

Argument	Defaults	Options	Server supported
--expert-parallel-size --ep-size --ep	1	Type: int	A2, A3
--moe-a2a-backend	none	none,<br/> deepep,<br/> ascend_fuseep(It is incompatible with eplb)	A2, A3
--moe-runner-backend	auto	auto, triton	A2, A3
--flashinfer-mxfp4- moe-precision	default	default,<br/> bf16	Special for GPU
--enable-flashinfer- allreduce-fusion	False	bool flag (set to enable)	Special for GPU
--deepep-mode	auto	normal, <br/>low_latency,<br/> auto	A2, A3
--deepep-config	None	Type: str	Special for GPU
--ep-num-redundant-experts	0	Type: int	A2, A3
--ep-dispatch-algorithm	None	static,<br/> dynamic,<br/> fake	A2, A3
--init-expert-location	trivial	trivial,<br/> <path.pt>,<br/> <path.json>,<br/> <json_string>	A2, A3
--enable-eplb	False	bool flag (set to enable)	A2, A3
--eplb-algorithm	deepseek	auto,<br/> deepseek	A2, A3
—eplb-rebalance-num-iterations	1000	Type: int	A2, A3
—eplb-rebalance-layers-<br/>per-chunk	None	Type: int	A2, A3
—eplb-min-rebalancing-<br/>utilization-threshold	1.0	Type: float	A2, A3
—expert-distribution-<br/>recorder-mode	None	stat,<br/> stat_approx,<br/> per_pass,<br/> per_token	A2, A3
—expert-distribution-<br/>recorder-buffer-size	None	Type: int	A2, A3
—enable-expert-distribution-<br/>metrics	False	bool flag (set to enable)	A2, A3
—moe-dense-tp-size	None	1	A2, A3
—elastic-ep-backend	None	none, mooncake	Special for GPU
--mooncake-ib-device	None	Type: str	Special for GPU

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Mamba Cache

Argument	Defaults	Options	Server supported
--max-mamba-cache-size	None	Type: int	A2, A3
--mamba-ssm-dtype	float32	float32,<br/>bfloat16,<br/>float16	A2, A3
--mamba-full-memory-ratio	0.9	Type: float	A2, A3
--mamba-scheduler-strategy	auto	auto,<br/>no_buffer,<br/>extra_buffer	A2, A3
--mamba-track-interval	256	Type: int	A2, A3

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Hierarchical cache

Argument	Defaults	Options	Server supported
--enable-hierarchical- cache	False	bool flag<br/> (set to enable).<br/> Currently, mamba cache is not supported.	A2, A3
--hicache-ratio	2.0	Type: float	A2, A3
--hicache-size	0	Type: int	A2, A3
--hicache-write-policy	write_through	Currently only write_back supported	A2, A3
—hicache-io-backend	kernel	kernel_ascend,<br/> direct	A2, A3
—hicache-mem-layout	layer_first	page_first_direct,<br/> page_first_kv_split	A2, A3
—hicache-storage-<br/>backend	None	file	A2, A3
—hicache-storage-<br/>prefetch-policy	best_effort	best_effort,<br/> wait_complete,<br/> timeout	Special for GPU
—hicache-storage-<br/>backend-extra-config	None	Type: str	Special for GPU

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LMCache

Argument	Defaults	Options	Server supported
--enable-lmcache	False	bool flag (set to enable)	Special for GPU

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Offloading (must be used with --disable-cuda-graph)

Argument	Defaults	Options	Server supported
--cpu-offload-gb	0	Type: int	A2, A3
--offload-group-size	-1	Type: int (DeepSeek only)	A2, A3
--offload-num-in-group	1	Type: int (DeepSeek only)	A2, A3
--offload-prefetch-step	1	Type: int (DeepSeek only)	A2, A3
--offload-mode	cpu	cpu (DeepSeek only) <br/>meta (DeepSeek only) <br/>sharded_gpu (DeepSeek only)	A2, A3

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Args for multi-item scoring

Argument	Defaults	Options	Server supported
--multi-item-scoring-delimiter	None	Type: int	A2, A3

​

Optimization/debug options

Argument	Defaults	Options	Server supported
--disable-radix-cache	False	bool flag (set to enable)	A2, A3
--cuda-graph-max-bs	None	Type: int	A2, A3
--cuda-graph-bs	None	List[int]	A2, A3
--disable-cuda-graph	False	bool flag (set to enable)	A2, A3
--disable-cuda-graph- padding	False	bool flag (set to enable)	A2, A3
--enable-profile- cuda-graph	False	bool flag (set to enable)	A2, A3
--enable-cudagraph-gc	False	bool flag (set to enable)	A2, A3
--enable-nccl-nvls	False	bool flag (set to enable)	Special for GPU
--enable-symm-mem	False	bool flag (set to enable)	Special for GPU
--disable-flashinfer- cutlass-moe-fp4-allgather	False	bool flag (set to enable)	Special for GPU
--enable-tokenizer- batch-encode	False	bool flag (set to enable)	A2, A3
—disable-tokenizer-<br/>batch-decode	False	bool flag (set to enable)	A2, A3
—disable-custom-<br/>all-reduce	False	bool flag (set to enable)	Special for GPU
—enable-mscclpp	False	bool flag (set to enable)	Special for GPU
—enable-torch-<br/>symm-mem	False	bool flag (set to enable)	Special for GPU
—disable-overlap<br/>-schedule	False	bool flag (set to enable)	A2, A3
—enable-mixed-<br/>chunk	False	bool flag (set to enable)	A2, A3
—enable-dp-attention	False	bool flag (set to enable)	A2, A3
—enable-dp-lm-head	False	bool flag (set to enable)	A2, A3
—enable-two-<br/>batch-overlap	False	bool flag (set to enable)	Planned
—enable-single-<br/>batch-overlap	False	bool flag (set to enable)	A2, A3
—tbo-token-<br/>distribution-threshold	0.48	Type: float	Planned
—enable-torch-<br/>compile	False	bool flag<br/> (set to enable)	A2, A3
—enable-torch-<br/>compile-debug-mode	False	bool flag (set to enable)	A2, A3
—enforce-piecewise-<br/>cuda-graph	False	bool flag<br/> (set to enable); <br/> Currently, Llama-3.1-8B-Instruct and Qwen2.5-7B-Instruct models are supported.	A2, A3
—piecewise-cuda-<br/>graph-tokens	None	Type: JSON<br/> list	A2, A3
—piecewise-cuda-<br/>graph-compiler	eager	eager	A2, A3
—torch-compile-max-bs	32	Type: int	A2, A3
—piecewise-cuda-<br/>graph-max-tokens	None	Type: int	A2, A3
—torchao-config	“	Type: str	Special for GPU
—enable-nan-detection	False	bool flag<br/> (set to enable)	A2, A3
—enable-p2p-check	False	bool flag (set to enable)	Special for GPU
—triton-attention-<br/>reduce-in-fp32	False	bool flag (set to enable)	Special for GPU
—triton-attention-<br/>num-kv-splits	8	Type: int	Special for GPU
—triton-attention-<br/>split-tile-size	None	Type: int	Special for GPU
—delete-ckpt-<br/>after-loading	False	bool flag<br/> (set to enable)	A2, A3
—enable-memory-saver	False	bool flag (set to enable)	A2, A3
—enable-weights-<br/>cpu-backup	False	bool flag (set to enable)	A2, A3
—enable-draft-weights-<br/>cpu-backup	False	bool flag (set to enable)	A2, A3
—allow-auto-truncate	False	bool flag (set to enable)	A2, A3
—enable-custom-<br/>logit-processor	False	bool flag (set to enable)	A2, A3
—flashinfer-mla-<br/>disable-ragged	False	bool flag (set to enable)	Special for GPU
—disable-shared-<br/>experts-fusion	True	bool flag (set to enable)	A2, A3
—disable-chunked-<br/>prefix-cache	True	bool flag (set to enable)	A2, A3
—disable-fast-<br/>image-processor	False	bool flag (set to enable)	A2, A3
—keep-mm-feature-<br/>on-device	False	bool flag (set to enable)	A2, A3
—enable-return-<br/>hidden-states	False	bool flag (set to enable)	A2, A3
—enable-return-<br/>routed-experts	False	bool flag (set to enable)	A2, A3
—scheduler-recv-<br/>interval	1	Type: int	A2, A3
—numa-node	None	List[int]	A2, A3
—enable-deterministic-<br/>inference	False	bool flag<br/> (set to enable)	Planned
--rl-on-policy-target	None	fsdp	Planned
--enable-layerwise- nvtx-marker	False	bool flag (set to enable)	Special for GPU
--enable-attn-tp- input-scattered	False	bool flag (set to enable)	Experimental
--enable-nsa-prefill- context-parallel	False	bool flag (set to enable)	A2, A3
--enable-fused-qk- norm-rope	False	bool flag (set to enable)	Special for GPU

​

Dynamic batch tokenizer

Argument	Defaults	Options	Server supported
--enable-dynamic- batch-tokenizer	False	bool flag (set to enable)	A2, A3
--dynamic-batch- tokenizer-batch-size	32	Type: int	A2, A3
--dynamic-batch- tokenizer-batch-timeout	0.002	Type: float	A2, A3

​

Debug tensor dumps

Argument	Defaults	Options	Server supported
--debug-tensor-dump- output-folder	None	Type: str	A2, A3
--debug-tensor-dump- layers	None	List[int]	A2, A3
--debug-tensor-dump- input-file	None	Type: str	A2, A3

​

PD disaggregation

Argument	Defaults	Options	Server supported
--disaggregation-mode	null	null,<br/> prefill,<br/> decode	A2, A3
--disaggregation-transfer-backend	mooncake	ascend	A2, A3
--disaggregation-bootstrap-port	8998	Type: int	A2, A3
—disaggregation-ib-device	None	Type: str	Special for GPU
—disaggregation-decode-<br/>enable-offload-kvcache	False	False	A2, A3
—num-reserved-decode-tokens	512	Type: int	A2, A3
—disaggregation-decode-<br/>polling-interval	1	Type: int	A2, A3

​

Encode prefill disaggregation

Argument	Defaults	Options	Server supported
—enable-adaptive-dispatch-to-encoder	False	bool flag<br/> (set to enable adaptively dispatch)	A2, A3
—encoder-only	False	bool flag<br/> (set to launch an encoder-only server)	A2, A3
—language-only	False	bool flag<br/> (set to load weights for the language model only)	A2, A3
—encoder-transfer-backend	zmq_to_scheduler	zmq_to_scheduler, <br/> zmq_to_tokenizer,<br/> mooncake	A2, A3
--encoder-urls	[]	List[str]<br/> (List of encoder server urls)	A2, A3

​

Custom weight loader

Argument	Defaults	Options	Server supported
--custom-weight-loader	None	List[str]	A2, A3
--weight-loader-disable- mmap	False	bool flag (set to enable)	A2, A3
--remote-instance-weight- loader-seed-instance-ip	None	Type: str	A2, A3
--remote-instance-weight- loader-seed-instance-service-port	None	Type: int	A2, A3
--remote-instance-weight- loader-send-weights-group-ports	None	Type: JSON list	A2, A3
--remote-instance-weight- loader-backend	nccl	transfer_engine, <br/> nccl	A2, A3
--remote-instance-weight- loader-start-seed-via-transfer-engine	False	bool flag (set to enable)	Special for GPU

​

For PD-Multiplexing

Argument	Defaults	Options	Server supported
--enable-pdmux	False	bool flag (set to enable)	Special for GPU
--pdmux-config-path	None	Type: str	Special for GPU
--sm-group-num	8	Type: int	Special for GPU

​

For Multi-Modal

Argument	Defaults	Options	Server supported
—enable-broadcast-mm-<br/>inputs-process	False	bool flag<br/> (set to enable)	A2, A3
—mm-process-config	None	Type: JSON / Dict	A2, A3
—mm-enable-dp-encoder	False	bool flag (set to enable)	A2, A3
—limit-mm-data-per-request	None	Type: JSON / Dict	A2, A3

​

For checkpoint decryption

Argument	Defaults	Options	Server supported
--decrypted-config-file	None	Type: str	A2, A3
--decrypted-draft-config-file	None	Type: str	A2, A3
--enable-prefix-mm-cache	False	bool flag (set to enable)	A2, A3

​

Forward hooks

Argument	Defaults	Options	Server supported
—forward-hooks	None	Type: JSON list	A2, A3

​

Configuration file support

Argument	Defaults	Options	Server supported
—config	None	Type: str	A2, A3

​

Other Params

The following parameters are not supported because the third-party components that depend on are not compatible with the NPU, like Ktransformer, checkpoint-engine etc.

Argument	Defaults	Options
--checkpoint-engine- wait-weights- before-ready	False	bool flag (set to enable)
--kt-weight-path	None	Type: str
--kt-method	AMXINT4	Type: str
--kt-cpuinfer	None	Type: int
--kt-threadpool-count	2	Type: int
--kt-num-gpu-experts	None	Type: int
--kt-max-deferred- experts-per-token	None	Type: int

The following parameters have some functional deficiencies on community

Argument	Defaults	Options
—tool-server	None	Type: str