HassanBlend1.5.1.2
hassanblend基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗DISCOVER & COMPARE
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DeepSeek-R1-Distill-Llama-3B-GGUF
hassenhamdi基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗G4-Jamet-26B-A4B-MK-1
Hastagaras基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗bert-base-uncased-hatexplain
Hate-speech-CNERG基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗dehatebert-mono-english
Hate-speech-CNERG基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗indic-abusive-allInOne-MuRIL
Hate-speech-CNERG基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗arabic-ner
hatmimohaThe training corpus is made of 378.000 tokens (14.000 sentences) collected from the Web and annotated manually.
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View details ↗Liquid-A1B-8B-PL-Coder
HattoriHanzo1基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Liquid-LFM2-8B-Polish-Warrior
HattoriHanzo1基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗NoQtua-4B-GGUF
HattoriHanzo1基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗> **Join the Discord** for updates, roadmaps, projects, or just to chat. > **HuggingFace's "Hardware Compatibility" widget doesn't recognize K_P quants** — it may show fewer files than actually exist. Click **"View +X variants"** or go to **Files and versions** to see all available downloads. No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals.
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View details ↗> **Join the Discord** for updates, roadmaps, projects, or just to chat. > **HuggingFace's "Hardware Compatibility" widget doesn't recognize K_P quants** — it may show fewer files than actually exist. Click **"View +X variants"** or go to **Files and versions** to see all available downloads. No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals.
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View details ↗> **Join the Discord** for updates, roadmaps, projects, or just to chat. No changes to datasets or capabilities — fully functional, 100% of what the original authors intended, just without the refusals. Built from the official QAT weights, so the 4-bit quant stays close to full-precision quality. The **Balanced** variant (recommended — 99%+ of users will be happy here) uses optimized full uncensoring tuned especially for agentic coding, reasoning, creative writing and reliability-critical tasks. It reasons before answering and stays dependable and on-instruction. An **Aggressive** variant, for cases where Balanced still deflects too much, after current testing is not required.
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View details ↗> **Join the Discord** for updates, roadmaps, projects, or just to chat. No changes to datasets or capabilities — fully functional, 100% of what the original authors intended, just without the refusals. Built from the official QAT weights, so the 4-bit quant stays close to full-precision quality. The **Balanced** variant (recommended — 99%+ of users will be happy here) uses optimized full uncensoring tuned especially for agentic coding, reasoning, creative writing and reliability-critical tasks. It reasons before answering and stays dependable and on-instruction. An **Aggressive** variant, for cases where Balanced still deflects too much, after current testing is not required.
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View details ↗> **Join the Discord** for updates, roadmaps, projects, or just to chat. Gemma4-26B-A4B uncensored by HauhauCS. **0/465 Refusals*** **Release Candidate after over 1 month of nonstop work on this one.** > **HuggingFace's "Hardware Compatibility" widget doesn't recognize K_P quants** — it may show fewer files than actually exist. Click **"View +X variants"** or go to **Files and versions** to see all available downloads.
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View details ↗> **Join the Discord** for updates, roadmaps, projects, or just to chat. No changes to datasets or capabilities — fully functional, 100% of what the original authors intended, just without the refusals. Built from the official QAT weights, so the 4-bit quant stays close to full-precision quality. The **Balanced** variant (recommended — 99%+ of users will be happy here) uses optimized full uncensoring tuned especially for agentic coding, reasoning, creative writing and reliability-critical tasks. It reasons before answering and stays dependable and on-instruction. An **Aggressive** variant, for cases where Balanced still deflects too much, after current testing is not required.
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View details ↗No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals. The Aggressive variant removes more refusal behavior. Use this if the Balanced variant still refuses too much. **Important:** - Disable repeat penalty (or `--repeat-penalty 1.0`) - For llama.cpp: use `--min-p 0.01` (default 0.05 is too high) - Use `--jinja` flag for llama.cpp
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View details ↗No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals. If you're doing agentic coding, use the Balanced variants. Good balance between capability and not refusing everything. **Important:** - Disable repeat penalty (or `--repeat-penalty 1.0`) - For llama.cpp: use `--min-p 0.01` (default 0.05 is too high) - Use `--jinja` flag for llama.cpp
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View details ↗Uncensored version of GPT-OSS 20B. This is the aggressive variant - tuned harder for fewer refusals.
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View details ↗Uncensored version of GPT-OSS 20B. This is the balanced variant - more conservative tuning that prioritizes keeping the model's general capabilities intact. If you want fewer refusals and don't mind being a bit more experimental, check out the Aggressive variant.
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View details ↗> **Join the Discord** for updates, roadmaps, projects, or just to chat. Uncensored version of GPT-OSS 120B by OpenAI. This is the aggressive variant - tuned harder for fewer refusals. No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals.
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View details ↗> **HuggingFace's "Hardware Compatibility" widget doesn't recognize K_P quants** — it may show fewer files than actually exist. Click **"View +X variants"** or go to **Files and versions** to see all available downloads. No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals. This release has NVIDIA's GenRM (generative reward model) fully removed. GenRM acts as an internal critic that scores and filters the model's own outputs — effectively a second layer of censorship on top of the base refusals. Removing it gives you the raw model output without any self-censoring.
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals. **Non-thinking mode:** - Add `/no_think` at the end of your prompt, or - `temperature=0.7` - `top_p=0.8` - `top_k=20` - `min_p=0` **Important:** - Use `--jinja` flag for proper chat template handling - Thinking mode produces ` ... ` tags before responses
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