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文生视频：根据您输入的文本提示词+参数（可选）生成目标视频。 图生视频-首帧：根据您输入的首帧图片+文本提示词（可选）+参数（可选）生成目标视频。 官方文档：https://www.volcengine.com/docs/82379/1544106?lang=zh#02affcb8 官方计费示例： https://bytedance.larkoffice.com/wiki/FXaYwxzJ5i5Zdik32ipcWzt7nxd?table=tbl9E3YrLJ3n8Bk5&view=vewltUCWg2 注意：官方价格按 token 计费，任务完成时实际消费会进行修正，多退少补
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Seedance 1.5 Pro API（APIMart）：字节跳动 AI 视频模型，原生音频与画面同步生成，支持首尾帧控制与 1080p 输出。开通会员，API 调用立省20%起。
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文生视频：根据您输入的文本提示词+参数（可选）生成目标视频。 图生视频-首帧：根据您输入的首帧图片+文本提示词（可选）+参数（可选）生成目标视频。 官方文档：https://www.volcengine.com/docs/82379/1544106?lang=zh#02affcb8 官方计费示例： https://bytedance.larkoffice.com/wiki/FXaYwxzJ5i5Zdik32ipcWzt7nxd?table=tbl9E3YrLJ3n8Bk5&view=vewltUCWg2 注意：官方价格按 token 计费，任务完成时实际消费会进行修正，多退少补
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Seedance 2.0 API（APIMart）：字节跳动文生视频与图生视频模型，生成 4–15 秒有声视频，最高 4K，支持图片、视频、音频参考与首尾帧。开通会员，API 调用立省20%起。
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Seedance 2.0 Fast API（APIMart）：功能与 Seedance 2.0 一致、生成更快，支持文生视频、图生视频与首尾帧，4–15 秒、480p/720p 输出。开通会员，API 调用立省20%起。
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Seedance 2.0 Mini API（APIMart）：功能与 Seedance 2.0 一致、提示词无字数限制，支持文生视频、图生视频与多模态参考，4–15 秒、480p/720p 输出。开通会员，API 调用立省20%起。
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Seedance 2.5 标准版 多模态视频：支持最多 30 张图 + 10 段视频 + 10 段音频参考（单段 2-30s，总长 <=30s），支持 prompt+仅音频 API doc: https://gpt-best.apifox.cn/api-440251336 1080p\2k\4k 是基于 720p 原生生成后进行画质放大，有额外费用
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图片编辑，OpenAI dalle 格式
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文生图。OpenAI Dalle 格式
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即梦4 绘图，Dalle 格式
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Seedream 4.5 是字节跳动最新推出的图像多模态模型，整合了文生图、图生图、组图输出等能力，融合常识和推理能力。相比前代4.0模型生成效果大幅提升，具备更好的编辑一致性和多图融合效果，能更精准的控制画面细节，小字、小人脸生成更自然
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This is a Vicuna-like model with only 68M parameters, which is fine-tuned from LLaMA-68m on ShareGPT data. The model is mainly developed as a base Small Speculative Model in the MCSD paper. As a comparison, it can be better aligned to the Vicuna models than LLaMA-68m with little loss of alignment to the LLaMA models.
GGUF quantizations of dphn/Dolphin-Mistral-24B-Venice-Edition, **built from version 1.2**, with vision adapters and an importance matrix. All the Dolphin-Mistral-24B-Venice-Edition GGUFs I could find on Hugging Face were converted from an earlier release, so I built these from version 1.2, introduced in `337ce042026e`: *"Updated to version 1.2 - vision + 131k context + improved tool calling"*. Every quant was measured by KL-divergence against the BF16 weights on held-out wikitext-2 (128 chunks). `BF16` (43.92 GB) is the reference and is included for anyone wanting to re-quantize without re-downloading the safetensors.
GGUF quantizations of Gemma-4-31B-JANG_4M-CRACK for use with llama.cpp, LM Studio, Ollama, and other GGUF-compatible inference engines. The original model uses **JANG v2 mixed-precision MLX quantization** (attention 8-bit + MLP 4-bit), which is only compatible with vMLX. Standard tools (llama.cpp, LM Studio, oMLX, mlx-lm) cannot load this format due to mixed per-layer bit widths. **Note:** Since the original was already quantized (avg 5.1 bits), the dequantized f16 intermediate is an approximation. Re-quantizing to GGUF introduces minimal additional quality loss since the attention layers were preserved at 8-bit in the original.
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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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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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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This Dolphin is *really good* at coding, I trained with a lot of coding data. It is *very* obedient but it is not DPO tuned - so you still might need to encourage it in the system prompt as I show in the below examples. New in 2.6 - Fixed a training configuration issue that improved the quality a lot - Due to popular demand, added back samantha-based empathy data - Replaced synthia and pure-dove with Capybara This model is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant to any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly.
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My appreciation for the sponsors of Dolphin 2.8: - Crusoe Cloud - provided excellent on-demand 10xL40S node - Winston Sou - Along with a generous anonymous sponsor, donated a massive personally owned compute resource! - Abacus AI - my employer and partner in many things. This model is based on Mistral-7b-v0.2 a new base model released by MistralAI on March 23, 2024 but they have not yet published on HuggingFace. Thanks to @alpindale for converting / publishing. Dolphin is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant to any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly.
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