MODEL PROFILE

DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-IQ2_XXS-GGUF

Abiray · DeepSeek-V4.1-Flash-1017-Uncensored-GSQ-RCO-IQ2_XXS-GGUF

This repository provides a **standalone, weight-baked abliterated (uncensored) GGUF build** of `ISTA-DASLab/DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF` (`IQ2_XXS`, 2.00 bpw) using the rank-1 EN+RU refusal-direction abliteration from `AtomicChat/DeepSeek-V4.1-Flash-1017-Uncensored-GGUF`. - **Zero LoRA Required at Runtime:** All 86 abliterated residual-writing tensors are baked directly into the 4 GGUF backbone shards. No `--lora` adapter flags are needed. - **Same Size as Original (`138.58 GB` vs. `138.24 GB`):** Adds only `+0.34 GB` (`+0.25%`) across the entire 4-shard 763B model. - **100% GSQ-RCO Intelligence Preserved:** All **28 1-bit `IQ1_M` GSQ-calibrated routed-expert layers** and both **`blk.{1,14}.engram_wkv.weight` (`Q5_K`)** projections from ISTA-DASLab are preserved 100% untouched, while all **80 dense residual writers** (`blk.{0..39}.attn_output_b.weight` in `Q6_K` and `blk.{0..39}.ffn_down_shexp.weight` in `Q8_0`/`Q5_K`) plus the **6 exact-type 2-bit routed-expert layers** (`blk.7, 8, 10, 18` in `IQ2_XXS` and `blk.33, 39` in `IQ2_XS`) carry the full refusal-direction removal. > **Important:** Like the upstream ISTA-DASLab release, this 4-shard backbone pairs with the shared **`DeepSeek-V4.1-Flash-Engram-IQ4_NL.gguf`** (`110.60 GB`) lookup file from `ISTA-DASLab/DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF`. Place all 4 shards and the Engram file in the same directory.

Text generationlicense:mit
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/30 04:27:46
OVERVIEW

Model overview

This repository provides a **standalone, weight-baked abliterated (uncensored) GGUF build** of `ISTA-DASLab/DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF` (`IQ2_XXS`, 2.00 bpw) using the rank-1 EN+RU refusal-direction abliteration from `AtomicChat/DeepSeek-V4.1-Flash-1017-Uncensored-GGUF`. - **Zero LoRA Required at Runtime:** All 86 abliterated residual-writing tensors are baked directly into the 4 GGUF backbone shards. No `--lora` adapter flags are needed. - **Same Size as Original (`138.58 GB` vs. `138.24 GB`):** Adds only `+0.34 GB` (`+0.25%`) across the entire 4-shard 763B model. - **100% GSQ-RCO Intelligence Preserved:** All **28 1-bit `IQ1_M` GSQ-calibrated routed-expert layers** and both **`blk.{1,14}.engram_wkv.weight` (`Q5_K`)** projections from ISTA-DASLab are preserved 100% untouched, while all **80 dense residual writers** (`blk.{0..39}.attn_output_b.weight` in `Q6_K` and `blk.{0..39}.ffn_down_shexp.weight` in `Q8_0`/`Q5_K`) plus the **6 exact-type 2-bit routed-expert layers** (`blk.7, 8, 10, 18` in `IQ2_XXS` and `blk.33, 39` in `IQ2_XS`) carry the full refusal-direction removal. > **Important:** Like the upstream ISTA-DASLab release, this 4-shard backbone pairs with the shared **`DeepSeek-V4.1-Flash-Engram-IQ4_NL.gguf`** (`110.60 GB`) lookup file from `ISTA-DASLab/DeepSeek-V4.1-Flash-1017-GSQ-RCO-GGUF`. Place all 4 shards and the Engram file in the same directory.

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

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

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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

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

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These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

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。