syv-ai/qwen38-27b-rtx3090

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

1.4k
Stars
200
Forks
63.9
Radar Score
Rising
Momentum

Scoring Breakdown

Impact51.7
Velocity77.0
Health65.0

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python

Why it ranks

Exceptional momentum — gaining stars far faster than almost everything else tracked.

LLM FrameworksTop 18% globally
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