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DeepSeek-V4.1-Flash-GGUF-DGX-Spark-recipe

llama.cpp recipe: convert DeepSeek-V4.1-Flash (deepseek41 arch, engram) to GGUF on one DGX Spark GB10. Conversion works; runtime WIP.

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GITHUB · launched Sep 11, 2026 · 6 upvotes (top 99%) · 1 view

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 GGUF quantization recipe and scripts can be vibe-coded, but debugging and extending llama.cpp runtime kernels for an unreleased or novel architecture on cutting-edge hardware requires custom C++/CUDA engineering.

What it would actually take: The solution requires Python for conversion scripts (reading Hugging Face safetensors and mapping them into GGUF metadata/tensor formats) and C++/CUDA inside llama.cpp. The difficult hurdle is writing custom GGML compute kernels and operator mappings for non-standard architecture layers (e.g. engram attention or sparse MoE configurations) and tuning them for specific NVIDIA DGX hardware.

Competitors

Other products that read as similar to this one : 158 launches clear the similarity bar, closest 8 shown.

Attention rank: #156 of 159 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 297 days after the earliest competitor.

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