DeepSeek-V4.1-Flash-UNCENSORED-DwarfStar-Q2

モデル紹介

This is a community conversion of dealignAI's DeepSeek-V4.1-Flash-UNCENSORED-FP8 into the Q2 GGUF format that DwarfStar uses. **Why we're sharing it.** To save other people the trouble. We downloaded the source checkpoint, converted it on an Apple M5 Max MacBook Pro with 128 GB of unified memory, checked that the result worked, and hooked it up to OpenCode. If you want the same setup, you can download this file instead of pulling the roughly 510 GB source and spending several hours converting it yourself. This is an independent community effort, not an official release from DeepSeek, dealignAI, or DwarfStar. - **DeepSeek AI** built the original DeepSeek-V4.1-Flash model and its architecture. - **dealignAI** produced the abliterated checkpoint. Their model card credits **@dealignai and Jordan Schenck / @jordanschenck**. The abliteration is entirely their work. We didn't do it and don't take credit for it. - **Salvatore Sanfilippo (antirez) and the DwarfStar contributors** wrote the inference engine, the V4.1 converter, the quantization code, and the validation tools we used. DwarfStar in turn builds on **llama.cpp and the GGML authors**, whose copyright notices are kept in `LICENSE-DwarfStar`. - **pyrodog** ran the conversion, packaged it, did the local testing described below, and uploaded it, with help from OpenAI Codex. No training, fine-tuning, merging, or additional abliteration was done. The language weights are quantized from the source checkpoint; the optional vision tensors are copied unchanged in BF16.

主な特徴

特点摘要待依据来源补齐，不凭模型名称推断能力。

制約と注意点

具体的な制約を判断する出典が不足しています。実際の性能、遅延、データ方針、ライセンス、提供期間を確認してください。

出典別料金と費用分析

料金はチャネル・地域・設定によって異なります。各チャネルの料金は個別に表示し、提供元の統一公式料金とは見なしません。

公開評価と実行設定

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

よくある質問

出典と追跡記録

许可证：mit。模型介绍与第三方评测均以原来源的具体版本和方法为准。