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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.

Details

External ID
1365421325
Source
GITHUB
Company
—
Product
DeepSeek-V4.1-Flash-vLLM-DGX-Spark
Website domain
github.com
Launched
Sept. 11, 2026
Cohort
—
Upvotes
6
Upvotes percentile
0.006853702280297207
Tags
—
Fetched at
Sept. 15, 2026, 1:03 a.m.
Updated at
Sept. 15, 2026, 1:03 a.m.

Enrichment

Theme
DeepSeek model deployment and inference
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
gguf conversion recipe for deepseek-v4.1-flash
Manually corrected
False

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 — 79 launches clear the similarity bar, closest 8 shown.

Attention rank: #78 of 80 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 297 days after the earliest competitor.

Other launches for this product

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