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fast-long-context

Easy local setup for Qwen3.8-27B Abliterated: 256K context and measured 240-300 tokens/s generation on an RTX 5090.

Details

External ID
1378402113
Source
GITHUB
Company
—
Product
fast-long-context
Website domain
github.com
Launched
Sept. 20, 2026
Cohort
—
Upvotes
29
Upvotes percentile
0.7161798616448886
Tags
—
Fetched at
Sept. 24, 2026, 5:02 p.m.
Updated at
Sept. 24, 2026, 5:02 p.m.

Enrichment

Theme
lightweight and on-device AI runtimes
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
local inference setup for qwen 27b models
Manually corrected
False

Could you build this?

Yes This is an orchestration and setup script/wrapper around existing open-source inference backends (like vLLM, SGLang, or TensorRT-LLM) configured for high-throughput Qwen inference on an RTX 5090.

Competitors

Other products that read as similar to this one — 111 launches clear the similarity bar, closest 8 shown.

Attention rank: #32 of 112 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 315 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.