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A float 32 high precision model, quanted in float 32 with additional upgraded and augmented quants too. This is a Gemma2 model merge of the top storytelling / writing models as noted at EQBench, tuned specifically for fiction, story, and writing. This version "Mighty Sword" is a merge mastered in "float 32" precision for higher quality and performance. If standard source was "HD", float32 would be "UHD". The bottom line is a far stronger model, more detail, more nuance, more depth... and stronger instruction following.

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Refreshed, Upgraded and New quants (augmented). Better performance for all quants (see below). And link to new float 32 remastered version. This is a Gemma2 model merge of the top FOUR storytelling / writing models as noted at EQBench, tuned specifically for fiction, story, and writing. It also contains "gemma2-gutenberg", "Tiger-Gemma" (uncensor) and "Ellaria" (uncensor some more) to give it a unique prose style.

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Specialized and Enhanced UNCENSORED/HERETIC GGUF quants for the new GLM-4.7-Flash, 30B-A3B MOE, mixture of experts model. This model can be run on the GPU(s) and/or CPU due to 4 experts activated (appox 2B parameters active). De-censoring by Heretic (special thanks to "Olafangensan") seems to have reduced the size of thinking blocks in some cases and/or "focused" the model more.

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WARNING: NSFW. Vivid prose. INTENSE. Visceral Details. Violence. Graphic HORROR. GORE. Swearing. UNCENSORED. It is a LLama3.1 model, max context of 128k (131,000) which has been uncensored using L3.1 Lexi Uncensored V2. This model has been designed to be relatively bullet proof and operates with all parameters, including temp settings from 0 to 5.

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WARNING: NSFW. Vivid prose. INTENSE. Visceral Details. Violence. Graphic HORROR. GORE. Swearing. UNCENSORED. It is a LLama3.1 model, max context of 128k (131,000) and is a dedicated "roleplay model" (it can also be used for creative uses). This model has been designed to be relatively bullet proof and operates with all parameters, including temp settings from 0 to 5.

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This model has been designed to be relatively bullet proof and operates with most parameters, including temp settings from 0 to 5. This is a an altered version of "Llama-3.2-3B-Instruct-uncensored" [ https://huggingface.co/chuanli11/Llama-3.2-3B-Instruct-uncensored ] using the Brainstorm 40x method developed by David_AU to drastically alter the models prose output and abilities. This also expands the model by 39 layers (to 67 layers) to 7.54B parameters (605 tensors). This model retains all the training of the original Llama 3.2 3B Instruct but now processes instructions and generates outputs with a deeper context and stronger level. Llama 3.2's ability to follow instructions is stronger than Llama 3 and 3.1 versions.

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This model has been designed to be relatively bullet proof and operates with most parameters, including temp settings from 0 to 5. This is a an altered version of "Llama-3.2-3B-Instruct-abliterated" [ https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated ] using the Brainstorm 40x method developed by David_AU to drastically alter the models prose output and abilities. This also expands the model by 39 layers (to 67 layers) to 7.54B parameters (605 tensors). This model retains all the training of the original Llama 3.2 3B Instruct but now processes instructions and generates outputs with a deeper context and stronger level. Llama 3.2's ability to follow instructions is stronger than Llama 3 and 3.1 versions.

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The NEO Class tech was created after countless investigations and over 120 lab experiments backed by real world testing and qualitative results. Better overall function, instruction following, output quality and stronger connections to ideas, concepts and the world in general. Although this model uses a "Llama3" template we found that Command-R's template worked better specifically for creative purposes.

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COST EXPLORER

好模型,也要算好成本。

费用分析

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

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

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选型与常见问题
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。

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