MODEL PROFILE

DeepSeek-V4.1-Flash-1017-Uncensored-DwarfStar-GGUF

AtomicChat · DeepSeek-V4.1-Flash-1017-Uncensored-DwarfStar-GGUF

The DwarfStar (ds4) Q2 build of DeepSeek-V4.1-Flash-1017 with DeepSeek's refusal direction projected out of the weights. Built by the team behind Atomic Chat , the app that runs open-weight models locally and offline. - This is antirez/deepseek-v4.1-flash-gguf's `DeepSeek-V4.1-Flash-1017-IQ2_XXS-Q2_K-imatrix.gguf` (revision `9dcee51692e6`) with **only the 122 tensors that write into the residual stream replaced**: attention output (`attn_output_b`), shared-expert down projection, the down projection of all 384 routed experts of every block, and Engram's value projection. Every other byte, the header included, is the original's, so it runs wherever that file runs, in the same memory. - The replaced tensors carry the edit of AtomicChat/DeepSeek-V4.1-Flash-1017-Uncensored-GGUF (one direction, strength 2.0), baked into DeepSeek's weights at full precision and quantized to the original file's types (Q8_0, Q2_K with an importance matrix, F16). After the bake, 99.98% of the edit is in every writer.

Text generationlicense:mit
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/11/1 15:07:40
OVERVIEW

Model overview

The DwarfStar (ds4) Q2 build of DeepSeek-V4.1-Flash-1017 with DeepSeek's refusal direction projected out of the weights. Built by the team behind Atomic Chat , the app that runs open-weight models locally and offline. - This is antirez/deepseek-v4.1-flash-gguf's `DeepSeek-V4.1-Flash-1017-IQ2_XXS-Q2_K-imatrix.gguf` (revision `9dcee51692e6`) with **only the 122 tensors that write into the residual stream replaced**: attention output (`attn_output_b`), shared-expert down projection, the down projection of all 384 routed experts of every block, and Engram's value projection. Every other byte, the header included, is the original's, so it runs wherever that file runs, in the same memory. - The replaced tensors carry the edit of AtomicChat/DeepSeek-V4.1-Flash-1017-Uncensored-GGUF (one direction, strength 2.0), baked into DeepSeek's weights at full precision and quantized to the original file's types (Q8_0, Q2_K with an importance matrix, F16). After the bake, 99.98% of the edit is in every writer.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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Estimate monthly base token costs

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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。

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Frequently asked questions

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Sources & traceability

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。