Nicheloom visits: 58,069 all-time · 7,637 in the last 7 days

The opportunity tracker for new startups.

Today: 1,953 launches · Niche of the day: specialized calculation tools · See what launched today →

DenseK3

DenseK3-4B 是一个把 Kimi K3 的 KDA、MLA、AttnRes 和 SiTU 等核心架构下沉到 4B Dense scale 的研究项目;我们没有从零重新预训练,而是以 Qwen3.5-4B-Base 为 donor,通过分阶段白盒架构迁移、Joint Recovery 和多教师蒸馏,把一个成熟 pretrained model 改造成新的 Dense K3-style architecture,并进一步研究它的能力保留和长上下文状态效率

Get picks like this daily. Today's launch numbers, the top launches, AI and tech news, and a daily opportunity pick, straight to your inbox.

Want to reach these readers? Sponsor an issue.

GITHUB · launched Sep 15, 2026 · 8 upvotes (top 88%) · 0 views

Niche: large language models · 191 launches, 4 in the last 7 days ▼ -33% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

No Performing white-box architectural transplantation (MLA, KDA) and multi-teacher knowledge distillation on a 4B parameter foundation model demands deep ML research expertise and massive compute.

What it would actually take: The system requires PyTorch, custom Triton/CUDA kernels for modified attention mechanisms, and Megatron-LM/DeepSpeed running on multi-node GPU clusters. The core difficulties are mathematically mapping donor weights to structurally disparate layers, stabilizing joint recovery training without catastrophic forgetting, and tuning multi-teacher loss dynamics across long contexts. This requires research-grade deep learning expertise and significant compute infrastructure.

Competitors

Other products that read as similar to this one : 328 launches clear the similarity bar, closest 8 shown.

Attention rank: #287 of 329 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 315 days after the earliest competitor.

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.