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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗DISCOVER & COMPARE
AI 모델 탐색 22973
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。
기본 정보 등록 · 상세 정보 보완 예정
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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗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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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗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。
기본 정보 등록 · 상세 정보 보완 예정
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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗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.
번역 대기 중 · 원문 표시
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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations We have retrained our LLama-3-70b fine tune to address behavioral issues in the initial 2.9 dataset. Specifically, Systemchat was causing the model to be *too* reliant on the system prompt. Additionally, it had an occasional quirk that would cause the model to overly reference the system prompt. We also found generation length was at times not sufficient for any given task. We identified the culprit as Ultrachat. Accounting for these concerns, we removed systemchat and ultrachat from the dataset. It is otherwise identical to dolphin-2.9. Our appreciation for the sponsors of Dolphin 2.9.1: - Crusoe Cloud - provided excellent on-demand 8xL40S node - OnDemand - provided inference sponsorship
번역 대기 중 · 원문 표시
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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations We have retrained our LLama-3-8b fine tune to address behavioral issues in the initial 2.9 dataset. Specifically, Systemchat was causing the model to be *too* reliant on the system prompt. Additionally, it had an occasional quirk that would cause the model to overly reference the system prompt. We also found generation length was at times not sufficient for any given task. We identified the culprit as Ultrachat. Accounting for these concerns, we removed systemchat and ultrachat from the dataset. It is otherwise identical to dolphin-2.9. Our appreciation for the sponsors of Dolphin 2.9.1: - Crusoe Cloud - provided excellent on-demand 8xL40S node
번역 대기 중 · 원문 표시
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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations The model is an extracted expert using SLERP and a custom script that we've open-sourced. It extracts a single expert which is the combined SLERP of all 8 experts from a Mixtral architecture. We decided to not fully convert to a dense model, for the sake of trying to keep as much of the original model's performance as possible, as this process is already quite surgical and there are a lot of variables to take into account. Dolphin-2.9 has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling.
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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations This is our most spectacular outcome ever. FFT, all parameters, 16bit. 77.4 MMLU on 34b. And it talks like a dream. Although the max positional embeddings is 4k, we used rope theta of 1000000.0 and we trained with sequence length 8k. We plan to train on the upcoming 32k version as well.
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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations This is our most spectacular outcome ever. FFT, all parameters, 16bit. 70.9 MMLU on 9b! And it talks like a dream. Although the max positional embeddings is 4k, we used rope theta of 1000000.0 and we trained with sequence length 12k. We plan to train on the upcoming 32k version as well.
번역 대기 중 · 원문 표시
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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations New in 2.9.2 is SystemChat 2.0 - a dataset designed to teach Dolphin to obey the system prompt, even over a long conversation. My appreciation for the sponsors of Dolphin 2.9.2: - Crusoe Cloud - provided excellent on-demand 8xH100 node - OnDemand - provided inference sponsorship, enabling creation of SystemChat
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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗Curated and trained by Eric Hartford, Lucas Atkins, Fernando Fernandes, and with help from the community of Cognitive Computations Our appreciation for the sponsor of Dolphin 2.9.2: - Crusoe Cloud - provided excellent on-demand 8xL40Snode This model is based on Phi-3-Medium-Instruct-4k, and is governed by the MIT license with which Microsoft released Phi-3.
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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗Curated and trained by Eric Hartford, Lucas Atkins, Fernando Fernandes, and with help from the community of Cognitive Computations Uncensored by FailSpy Our appreciation for the sponsor of Dolphin 2.9.2: - Crusoe Cloud - provided excellent on-demand 8xL40Snode This model is based on Phi-3-Medium-Instruct-4k, and is governed by the MIT license with which Microsoft released Phi-3.
번역 대기 중 · 원문 표시
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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗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。
기본 정보 등록 · 상세 정보 보완 예정
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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗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。
기본 정보 등록 · 상세 정보 보완 예정
입력 텍스트→ 출력 텍스트
요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗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。
입력 텍스트→ 출력 텍스트
요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗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。
기본 정보 등록 · 상세 정보 보완 예정
입력 텍스트→ 출력 텍스트
요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗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。
입력 텍스트→ 출력 텍스트
요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations Our appreciation for the sponsors of Dolphin 2.9.3: - Crusoe Cloud - provided excellent on-demand 8xH100 node - OnDemand - provided inference sponsorship Dolphin-2.9.3 has a variety of instruction following, conversational, and coding skills. It also has initial agentic abilities and supports function calling.
번역 대기 중 · 원문 표시
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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗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。
입력 텍스트→ 출력 텍스트
요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗Website: https://dphn.ai Twitter: https://x.com/dphnAI Web Chat: https://chat.dphn.ai Telegram bot: https://t.me/DolphinAI_bot Dolphin Mistral 24B Venice Edition is a collaborative project we undertook with Venice.ai with the goal of creating the most uncensored version of Mistral 24B for use within the Venice ecosystem. Dolphin Mistral 24B Venice Edition is now live on https://venice.ai/ as “Venice Uncensored,” the new default model for all Venice users.
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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗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。
입력 텍스트→ 출력 텍스트
요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗Dolphin X1 8B is a result of our effort to directly uncensor Llama's 3.1 8B instruct while also keeping the same abilities or improving on them with finetuning. Dolphin aims to be a general purpose model, similar to the models behind ChatGPT, Claude, Gemini. But these models present problems for businesses seeking to include AI in their products. 1) They maintain control of the system prompt, deprecating and changing things as they wish, often causing software to break. 2) They maintain control of the model versions, sometimes changing things silently, or deprecating older models that your business relies on. 3) They maintain control of the alignment, and in particular the alignment is one-size-fits all, not tailored to the application. 4) They can see all your queries and they can potentially use that data in ways you wouldn't want. Dolphin, in contrast, is steerable and gives control to the system owner. You set the system prompt. You decide the alignment. You have control of your data. Dolphin does not impose its ethics or guidelines on you. You are the one who decides the guidelines. Dolphin belongs to YOU, it is your tool, an extension of your will. Just as you are personally responsible for what you do with a knife, gun, fire, car, or the internet, you are the creator and originator of any content you generate with Dolphin.
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요금 미확인멀티모달 및 채널 요금 별도 확인
자세히 보기 ↗Dolphin X1 Trinity Nano directly decensors Arcee AI's Trinity Nano model while maintaining instruction-following capabilities. This model is the first trained entirely using our new RL environments aimed to de-align models and achieves lower refusal rates than other models in its class without compromising performance. Dolphin aims to be a general purpose model, similar to the models behind ChatGPT, Claude, Gemini. But these models present problems for businesses seeking to include AI in their products. 1) They maintain control of the system prompt, deprecating and changing things as they wish, often causing software to break. 2) They maintain control of the model versions, sometimes changing things silently, or deprecating older models that your business relies on. 3) They maintain control of the alignment, and in particular the alignment is one-size-fits all, not tailored to the application. 4) They can see all your queries and they can potentially use that data in ways you wouldn't want. Dolphin, in contrast, is steerable and gives control to the system owner. You set the system prompt. You decide the alignment. You have control of your data. Dolphin does not impose its ethics or guidelines on you. You are the one who decides the guidelines.
번역 대기 중 · 원문 표시
입력 텍스트→ 출력 텍스트
요금 미확인멀티모달 및 채널 요금 별도 확인
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