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DeepSeek-Coder-V2-Lite Under 5GB: 65 TPS 100% In-VRAM on 6GB GPU

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HN · launched Nov 12, 2026 · 8 upvotes (top 50%) · 0 views

Niche: llm inference and deployment tools · 188 launches, 6 in the last 7 days · Explore this niche →

Category and tags

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

Visit website ↗ Source listing ↗

Could you build this?

Partial The page is a quantized GGUF release of an existing open coding model, so reproducing the quantization is accessible, but the underlying model requires ML expertise and massive compute to create from scratch.

What it would actually take: Starting from the open base weights, you would use llama.cpp tooling with an importance matrix (imatrix) and mixed-precision quantization to fit under 5GB, then benchmark throughput on target hardware. Matching the claimed quality and speed requires calibration data curation and quantization expertise. Training a comparable MoE coding model from scratch would need large GPU clusters and ML research skills.

Discussion

3 comments analyzed.

Competitors mentioned: Qwen 3.5-4B

Concerns raised: Post and README appear AI-generated, README formatting is broken, Smaller existing models may suit low-VRAM use better

Competitors

Other products that read as similar to this one : 2145 launches clear the similarity bar, closest 8 shown.

Attention rank: #1104 of 2146 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 376 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.