IndrasMirror/DeepSeek-V4.1-Flash-GSQ-Uncensored

AI model by IndrasMirror

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A 552B-parameter MoE running on one gaming PC — RTX 4090 (24 GB) + 90 GB RAM + NVMe Prefill 250 tok/s (exact) · DSpark decode 17–30 tok/s at the coding-safe bias · 512K context Runs on Xolotl (formerly Strata-DSV4.1), an engine built for exactly this model and this class of machine, on top of Strata. DeepSeek-V4.1-Flash has 40 layers with 384 routed experts each (top-6 per token), a shared expert, Hyper-Connections, CSA sparse attention, and an Engram n-gram memory. Its 15,360 routed experts hold 543.6B weights; even at their native FP4 they're far bigger than any consumer PC's RAM. This repository holds a calibrated mixed-tier quantization of dealignai's abliterated checkpoint, in which every expert's gate/up and down projections get their own format: The dense half (attention, shared expert, output head) is Q80. The embedding, compressor and indexer stay F16, and norms, router and mHC stay F32. The total is…

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Model overview

IndrasMirror/DeepSeek-V4.1-Flash-GSQ-Uncensored is a task-unspecified model repository published by IndrasMirror on Hugging Face. A library was not reported.

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Model facts

Task: Not reported
Library: Not reported
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: mit
Access: Not gated by Hugging Face
Created: 2026-10-12T06:33:21.000Z
Last modified: 2026-10-12T06:38:52.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: dealignai/DeepSeek-V4.1-Flash-UNCENSORED-FP8, deepseek-ai/DeepSeek-V4.1-Flash

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