Recipe

qwen3-8-27b-nvfp4-rtx-5060-ti-16gb-vllm-tp2

qwen3-8-27b-nvfp4-rtx-5060-ti-16gb-vllm-tp2

Observed LocalMaxxing leaderboard run. Evidence for compatibility, not an executable launch contract.

Record

Status
candidate
Source
localmaxxing
Engine
vllm
Accelerators
2
Tensor parallel
2
Context tokens
2,048
Max concurrency
1
chat
unknown
reasoning
unknown
tools
unknown
vision
unknown

Hugging Face model card

Identity

https://huggingface.co/Qwen/Qwen3.8-27B
Repository
Qwen/Qwen3.8-27B
Status
known
Link type
Exact Hub repository

Public Hugging Face repository confirmed by the Hub API.

Candidate: useful compatibility or speed evidence. The registry does not offer Run until promotion requirements are met.

Observed configuration

vllm

Evidence only · candidate · reference

Candidate evidence — not a Run contract

Endpoint
http://192.168.0.45:30000
Served model
gittensor-model-hub/Qwen3.8-27B-NVFP4-RTX5090-LMHead4
Source
https://www.localmaxxing.com/en/runs/cmtdklchh005clm01b8ev1mrk

Measured speed

ConcurrencyContextPrefillDecodeTTFT msStatusSweep
12,048395.563.2189.6observedqwen3-8-27b-nvfp4-rtx-5060-ti-16gb-vllm-tp2-sweep

Remaining fields

Identity, launch, related records, and measured speed are shown above. This is the rest of the normalized record.

hardware count
2
hardware id
rtx-5060-ti-16gb
id
qwen3-8-27b-nvfp4-rtx-5060-ti-16gb-vllm-tp2
model instance id
qwen-qwen3-8-27b--nvfp4
recipe source
localmaxxing
schema version
local-ai-registry/v1
speed sweep ids
qwen3-8-27b-nvfp4-rtx-5060-ti-16gb-vllm-tp2-sweep
status
candidate

capabilities

draft launch

accelerator backend
nvidia
arguments
--model, Qwen/Qwen3.8-27B, --tensor-parallel-size, 2, --host, 0.0.0.0, --port, 8000, --max-model-len, 2048
container port
8,000
host port
8,000
image
vllm/vllm-openai@sha256:0a51ea5b4ae2dc5d81890e5173f54203d2a3ae0cfffe51b8fd2afd4391bfd967
ipc
host
kind
docker
shm size
16g
synthesized · generated at
2026-08-31T22:12:17Z
synthesized · image provenance
deepseek-fp8-rtx-pro-6000-blackwell-96gb-vllm-tp1
synthesized · template
vllm-openai-v1

mounts

read onlytarget
No/root/.cache/huggingface

engine

name
vllm

serving

max concurrency
1
max context tokens
2,048
tensor parallel
2
Provenance & metadata (3)

facts

capabilities.chat · provenance · captured at
2026-08-30T09:10:02Z
capabilities.chat · reason capability-not-verified
capabilities.chat · state unknown
capabilities.reasoning · provenance · captured at
2026-08-30T09:10:02Z
capabilities.reasoning · reason capability-not-verified
capabilities.reasoning · state unknown
capabilities.tools · provenance · captured at
2026-08-30T09:10:02Z
capabilities.tools · reason capability-not-verified
capabilities.tools · state unknown
capabilities.vision · provenance · captured at
2026-08-30T09:10:02Z
capabilities.vision · reason capability-not-verified
capabilities.vision · state unknown
engine.graph mode · provenance · captured at
2026-08-30T09:10:02Z
engine.graph mode · reason runtime-detail-not-published
engine.graph mode · state unknown
serving.kv cache tokens · provenance · captured at
2026-08-30T09:10:02Z
serving.kv cache tokens · reason kv-cache-capacity-not-published
serving.kv cache tokens · state unknown

metadata

localmaxxing · backend
cuda
localmaxxing · hardware label
RTX 5060 Ti
localmaxxing · notes
vLLM V2 on dual RTX 5060 Ti 16GB (Unraid 7, 6.18.38). MTP speculative decoding: num_speculative_tokens=3, TP=2, NVFP4 quant, max-model-len 131072, KV-cache nvfp4 4.5GB budget, prefix-caching + chunked-prefill enabled, cudagraph_capture_sizes [1,2,4,8,16]. This is the warm-cache representative run (4 consecutive back-to-back benchmark iterations, prefix cache hot): 63.2-63.7 tok/s decode, ~186-195 ms TTFT. MTP draft acceptance during this window: avg 54.8% (41.4-71.1%, p50 52.6%, 18 samples) — well above the ~30% breakeven for 3 draft tokens, i.e. MTP spec-decode is net-positive here. For contrast, a cold-cache benchmark window earlier in the session measured 38.2 tok/s at ~35% acceptance; full-lifetime real-world Hermes traffic averages ~50.6% token-weighted acceptance (2.69M samples, per-position pos1=0.647 pos2=0.495 pos3=0.393). Engine: vLLM, quant NVFP4.
localmaxxing · observed command
# Remote endpoint: http://192.168.0.45:30000 servedModel: gittensor-model-hub/Qwen3.8-27B-NVFP4-RTX5090-LMHead4
localmaxxing · run id
cmtdklchh005clm01b8ev1mrk
localmaxxing · tokenized · endpoint
192.168.0.45
localmaxxing · tokenized · fidelity
faithful
localmaxxing · tokenized · served model name
gittensor-model-hub/Qwen3.8-27B-NVFP4-RTX5090-LMHead4

provenance

captured at
2026-08-30T09:10:02Z

sources

captured atkindurl
2026-08-30T09:10:02Znormalized-recipewww.localmaxxing.com/en/runs/cmtdklchh005clm01b8ev1mrk