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Tool profile

syv-ai/qwen38-27b-rtx3090

new

Qwen3.8-27B on a single RTX 3090 with vLLM: ~1,000 tok/s at 64 concurrent (int8 tensor-core GEMMs, fp16 DeltaNet state), ~114 tok/s single-user at default sampling / ~124 greedy (MTP drafts, own-output draft vocab, calibrated int4 lm_head, split-KV verify attention), 150k-262k context; patches, requant scripts, benchmarks

kv-cachellm-inferencelocal-llmquantizationqwenqwen3rtx-3090speculative-decoding
Velocity score
0.00/ 10
[STARS]
137
[FORKS]
9
[CONTRIBUTORS]
0
[LAST_COMMIT]
today
OPEN_ON_GITHUB
Velocity class: new
Is syv-ai/qwen38-27b-rtx3090 still actively maintained?
[VR]

This tool is in the Velocity Report when it moves. Get the weekly numbers.

Score breakdown
350/ 1000
inference · syv-ai/qwen38-27b-rtx3090
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
233
[INSTALL_VEL]
498
[ACTIVITY]
563
[COMMUNITY_SIGNAL]
0

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

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