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探索 AI 模型 84991
WARNING "HERETIC" version: Unlocked. UNFILTERED. NSFW. Vivid prose. INTENSE. Visceral Details. Light to R-18 HORROR. Swearing. UNCENSORED... humor, romance, fun... and UNFILTERED TRUTH. This is the HIVEMIND, uncensored/unlocked/unrestricted This is the HIVEMIND, uncensored/unlocked/unrestricted (see important notes below for maximum "choice") by the HERETIC method: https://huggingface.co/DavidAU/Qwen3-6B-Hivemind-Instruct-Heretic-Abliterated-Uncensored-NEO-Imatrix-GGUF
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Fine tune via Unsloth of Qwen 3.5 9B dense model using Claude-4.6-OS dataset (4 Claude datasets) on local hardware. Every attempt was made to ensure the training was "mild" and did not negatively affect the model's already incrediblely strong benchmarks. Training on 4 datasets improves reasoning, and output generation and exceeds the root model on all benchmarks too. This is also a HERETIC model, trained post "Heretic'ing" -> this model does what you want, no questions asked.
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IMPORTANT: The GAIN method of training maintains 99% of performance of BF16, at both 8 bit and 4 bit levels. COLD FUSION exceeds performance of both 9B and 27B Qwen 3.5 models. Cold Fusion exceeds Qwen 3.5 27B performance, at only 9B parameters (and at both 4 bit and 8 bit too) plus enhanced by "GAIN" method training. The "GAIN" method (programming) automatically (and dynamically) changes training on a per sample basis in real time during training AS THE MODEL LEARNS. This was designed to be used with all model types and datasets and plugs into the Unsloth training "stream".
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ABSOLUTE FIRE: 640 ARC-C for both 8bit and 4bit. Model exceeds 7 of 7 benchmarks for Qwen 3.5 9B, Qwen3.5 27B, Qwen3.6 35B-A3B, and meets Qwen 3.6 27B in some cases... and it does so in 4bit and 8bit. Regular and MTP (fast) NEO IMATRIX GGUFs provided. (this model is part of the Qwen 3.6 27B Fable Fusion 711 pipelines: 2200+ likes, 3 million + downloads) NEW - Qwen 3.8 Reasoning Modes: 2 MTP quants (Q6/Q8) Now with 5 reasoning modes (2 new - Spoon / Einstein), and 5 instruct modes (2 new - Spoon / Einstein, all use ZERO REASONING TOKENS) all switchable on the fly via API, direct and "in chat" (yes - model ctrl at the chat/message level). Model name has "plusIQ" in the name. A 12+12 (12 reasoning and 12 instruct) model with interactive optimization/help system will be releasing shortly too. BF16/16-bit MTP GGUF also avail. (there is also a extra robust "tools" version too - Q6 and Q8.) Extreme intelligence in a small package. Jaw dropping performance. Superior instruction following.
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Important: This is the first fine tune to exceed 700 "arc-c" (The OpenAI, Claude and Gemini "zone of intelligence") in both 8 bit and 4 bit. This repo contains both "regular" and "MTP" Neo MAX Imatrix GGUF quants. Many other additional quant types avail too. 3rd parties confirm this model's performance in the "community tab". 40B versions: Eleanor-DECKARD and Grand Intelligence - FF711-717 || Qwen 3.8 27B Cold Fusion (1/2 to 1/10 thinking size, more brainpower) : COLD FUSION Meet the newest, strongest and fastest Qwen 3.8: The TURBO Fable 738-882 || TWIN TURBO The strongest, smartest open source multi-stage model fine tune for consumer hardware ever and BUILT on consumer hardware via Unsloth.
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"700 Zone": This model's performance has been "beaten" (by a mile) by the new "711" (and includes "MTP" quants too): https://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF This model's benchmarks are in the OpenAI, Claude and Gemini "zone" - it is that strong.
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Need GENIUS (openAI, Claude level) level firepower? FABLE-FUSION-711 Qwen 3.6 27B: 2200+ likes, 3rd party verfications of all claims, and 3 million + downloads. Exceeds all critical benchmarks for Qwen 3.6 27B and Qwen 3.6 35B-A3B in both 4 bit and 8bit. It clocks in at a shocking 700+ ARC-C for both 4 bit and 8bit. https://huggingface.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF or see the expanded, and higher IQ version of "Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking": https://huggingface.co/DavidAU/Qwen3.6-40B-Fable-Fusion-6-Core-Deckard-Eleanor-Heretic-Uncensored-NM-DAU-NEO-MAX-MTP-GGUF Ultimate NEO GGUF QUANTS: Custom built DUAL Imatrix NEO-CODER quants that exceed all other quants in terms of quality, stability, precision and long convo usage. IQ4_XS/NL regularly scores at 94% of full precision (bf16), Q6/Q8 at 97% and 98% of full precision (bf16). WARNING: This model has character and intelligence. It will take no prisoners. It will give no quarter. Uncensored, Unfiltered and boldly confident. Not even remotely "SFW", if you ask it for NSFW content. And it is wickedly smart too - exceeding the base model in 6 out of 7 benchmarks. Additional 3rd party testing/benchmarks are also under the "community tab".
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Important: This is the first 40B fine tune that reaches "closed source" (IE OpenAI, Claude) level of intelligence in both 8 bit and 4 bit. This repo contains both "regular" and "MTP" Neo MAX Imatrix GGUF quants. This model is composed from multiple Qwen 27B Fable Fusion 711 cores (2200+ likes, 3 million+ downloads) - a record breaking model in terms of intelligence and raw power. The "40B Eleanor" takes this to the next level with improvements in thinking tokens/ thinking block size (1/10 to 1/2 the size), thinking in general and output detail quality with deep analytics too. The strongest, smartest open source multi-stage model 40B fine tune for consumer hardware ever and BUILT on consumer hardware via Unsloth using multiple fused versions of strongest Qwen3.6 27B model the "Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF" (confirmed by 3rd party testing - click here ). This model (both 4 bit and 8 bit) exceeds the base Qwen 3.6 27B in 6 out of 7 benchmarks, and matches it on the 7th AND exceeds all 7 benchmarks for Qwen3.6-35B-A3B.
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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。
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。
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。
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。