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Python

hanxiao/DeepSeek-V4.1-Flash-1017-FP8-abliterated-4x-RTX-PRO-6000

Abliterated DeepSeek-V4.1-Flash-1017 (FP8 dense, FP4 experts) on 4x RTX PRO 6000 with vLLM-Moet r21, DSpark + FLy verification and top_p 1.0: 463 tok/s single-stream agent decode at 30k-120k context, 1082 tok/s over 8 streams, 1M context, Flex-start GCE VM

★ 47
Stars
9 forks · 0 open issues
+2.7/day
Growth · lifetime avg
Average since the repo was created — it is young enough that this still describes now. Not a recent-week figure.
30.7
Momentum / 100
see the breakdown below
17d ago
Created
last push 7h ago

Star history

Only 1 snapshot so far — we started watching this repository on 2026-11-09. The chart appears once there are two days to compare.

How this score was built

ComponentWeightEarnedWhy
Velocity5510.9 +2.7/day, log-scaled against a 750/day ceiling
Acceleration150.0 needs 7-day and 30-day rates side by side
Freshness1515.0 last push 7h ago; decays to zero at 180 days
Scale154.9 47 stars, log-scaled against 150k — stops a 3-star repo topping the board
Momentum10030.7 sum of the above

Detail

Topicsabliteratedblackwelldeepseekdeepseek-v4flex-startflyfp4fp8gcpllm-inferencemoertx-pro-6000speculative-decodingvision-language-modelvllmvllm-moet
Matched onLLM & Inference (llm-inference)
Short windowno snapshot 5–10 days old yet
Long windowno snapshot 14–45 days old yet
Lifetime average2.70 stars/day over 17 days
First seen here2026-11-09
Last read3h ago