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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.

Details

External ID
1371671107
Source
GITHUB
Company
—
Product
Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED
Website domain
huggingface.co
Launched
Sept. 15, 2026
Cohort
—
Upvotes
12
Upvotes percentile
0.3866256725595696
Tags
—
Fetched at
Sept. 19, 2026, 5:02 p.m.
Updated at
Sept. 19, 2026, 5:02 p.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
uncensored 27b open-weight language model weights and deployment scripts
Manually corrected
False

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

Attention rank: #40 of 70 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 257 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.