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Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED

Uncensored Qwen3.8-27B Ultimate - BF16 master + NVFP4-MIXED deploy. QuickStarts for DGX Spark (one Dynamic DFlash lattice seat @ util 0.80), dual-Spark TP=2, RTX 5090 / PRO 6000. Serve with aeon-vllm-ultimate / aeon-vllm-ultimate-rtx.

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GITHUB · launched Sep 15, 2026 · 12 upvotes (top 63%) · 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 Creating, fine-tuning, abliterating/uncensoring, and quantizing a 27B parameter multimodal model to NVFP4-MIXED with specialized vLLM kernels requires massive GPU clusters and deep ML systems expertise.

What it would actually take: Requires high-end multi-GPU infrastructure (DGX/H100/Blackwell clusters) running distributed pretraining/fine-tuning pipelines (Megatron-LM, DeepSpeed), custom weight orthogonalization/abliteration scripts to remove refusal vectors, and low-level CUDA/TensorRT-LLM/ModelOpt kernel engineering for NVFP4 mixed-precision quantization. Demands specialized machine learning systems and deep learning research expertise.

Competitors

Other products that read as similar to this one : 144 launches clear the similarity bar, closest 8 shown.

Attention rank: #84 of 145 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 257 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.