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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗DISCOVER & COMPARE
探索 AI 模型 84999
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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查看详情 ↗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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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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查看详情 ↗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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查看详情 ↗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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查看详情 ↗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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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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查看详情 ↗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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查看详情 ↗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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗> **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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗> **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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗> **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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗> **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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗> **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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗> **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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗Uncensored version of GPT-OSS 20B. This is the aggressive variant - tuned harder for fewer refusals.
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗> **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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗> **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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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。
基础资料已收录 · 缺失资料后续补充
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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗暂未找到匹配模型
可以调整厂商、分类或输入输出条件；新模型正持续收录。
COST EXPLORER
好模型，也要算好成本。
调整月度 Token 用量，直观比较不同模型的预估 API 开支。
1 M = 100 万 Token · 美元计价
仅比较同一渠道的基础文本 Token 报价
仅比较同一渠道的基础文本 Token 报价
使用已采集且单位可比的 USD / 百万 Token 渠道报价。报价为采集时快照；不计缓存优惠、阶梯价、推理额外输出与税费，请以来源的当前报价为准。
MODEL HANDBOOK
读懂模型，再做选择
API 价格应该怎么比较？+
先区分输入、输出和缓存价格，再使用同一任务和用量估算总费用。图像、音频和视频可能按张、时长或分辨率计费，不能直接与 Token 单价比较。
开放权重，就代表可以免费商用吗？+
不一定。必须逐一核对具体模型版本的许可证、商用限制及使用政策。自己部署还需要考虑显存、推理资源和运维费用。
排行榜第一，就是最适合我的模型吗？+
榜单取决于测试任务、版本与评测方法。建议用实际业务样本比较准确性、时延、稳定性和成本，再选择模型。