EAGLE-4
Official Inference Code of EAGLE-4
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GITHUB · launched Oct 20, 2026 · 962 upvotes (top 1%) · 0 views
Niche: llm inference engines · 133 launches, 4 in the last 7 days ▼ -33% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
- eagle
- gpu
- llm-inference
- sglang
- speculative-decoding
- tokenspeed
- +1 more
Visit website ↗ Source listing ↗
More like this: all 133 launches in llm inference engines →
Could you build this?
No EAGLE is a research-grade speculative decoding method for LLM inference. A real version requires novel model architecture work, training draft models, and GPU kernel-level optimization.
What it would actually take: The core is a draft model trained on the target LLM's features, plus a tree-based verification loop integrated into an inference engine such as vLLM, SGLang, or TensorRT-LLM. Making it fast requires CUDA and kernel expertise, training compute, and familiarity with recent speculative decoding papers. Matching published speedups is a research-level task.
Competitors
Other products that read as similar to this one : 339 launches clear the similarity bar, closest 8 shown.
Attention rank: #5 of 340 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 343 days after the earliest competitor.
- Inference-Engineering · github · 2026-09-14 · 95 upvotes · similarity 0.48
- zlaya · github · 2026-09-23 · 9 upvotes · similarity 0.45
- open_rknpu2_lm_infer · github · 2026-10-14 · 13 upvotes · similarity 0.44
- nanospec · github · 2026-09-16 · 8 upvotes · similarity 0.44
- open-jev-fast · github · 2026-09-27 · 88 upvotes · similarity 0.44
- flux-3-image-klein · github · 2026-10-15 · 110 upvotes · similarity 0.44
- x86-formal-verification-research · github · 2026-10-30 · 16 upvotes · similarity 0.44
- ai4data-class · github · 2026-09-22 · 17 upvotes · similarity 0.43
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.