**A one-DGX-Spark Q4_K_M release with a native MTP draft, Q8_0 vision projector, bounded reasoning, and a verified 262K context path.** This is the llama.cpp build of `Jiunsong/SuperQwen3.8-27b-abliterated`: the corrected rank-4 OBLITERATUS model, not an adapter and not the earlier incorrect lineage. The target, MTP draft, and multimodal projector are separate so text-only users do not pay for the projector, while vision and native speculative decoding remain available. The target contains 433 Q4_K, 65 Q6_K, and 353 F32 tensors. The MTP draft contains 10 Q4_0 and 8 F32 tensors. The projector deliberately retains unsupported or sensitive matrices: 83 Q8_0, 27 F16, and 224 F32 tensors.
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ObjectClear
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This is an uncensored version of Qwen/Qwen3.8-27B created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens. The newly added **Huihui-Qwen3.8-27B-abliterated-Underdog-Saluki** series come from ConwayResearch/Underdog-Saluki-27B-1.0 and ukisai/Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF. Only layers **22 to 52 (0-based indexing)** have been ablated, while the other layers remain unablated. It may come with a small disclaimer warning. Due to ConwayResearch/Underdog-Saluki-27B-1.0 not providing an imatrix file, we will attempt to perform ablation by mixing the GGUF weights of Swift-1.5 and ConwayResearch/Underdog-Saluki-27B-1.0.
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chatterbox-finnish-nano-GGUF
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suna-v1
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Qwen3.5-9B-Uncensored-HauhauCS-Aggressive
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Note that there is another endpoint, namely `jjzha/escoxlmr_skill_extraction`. Knowledge can be seen as hard skills and Skills are both soft and applied skills.
Note that there is another endpoint, namely `jjzha/escoxlmr_skill_extraction`. Knowledge can be seen as hard skills and Skills are both soft and applied skills.
jobbert-base-cased
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