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cognitivecomputations의 파비콘

Dolphin3.0 Mistral 24B

cognitivecomputations/dolphin3.0-mistral-24b

모델 가중치

Dolphin 3.0 is the next generation of the Dolphin series of instruct-tuned models. Designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases.

Dolphin aims to be a general purpose instruct model, similar to the models behind ChatGPT, Claude, Gemini.

Part of the Dolphin 3.0 CollectionOpens in new tab Curated and trained by Eric HartfordOpens in new tab, Ben GitterOpens in new tab, BlouseJuryOpens in new tab and DphnAIOpens in new tab

모달리티
컨텍스트
33K
출시
2025년 2월 13일
지식 기준일
2024년 4월
활동자주 묻는 질문탐색

활동

시간 경과에 따른 이 모델의 토큰 사용량과 요청 트래픽입니다.

더 많은 모델 살펴보기

AI 모델 순위순위

자주 묻는 질문

Dolphin 3.0 is the next generation of the Dolphin series of instruct-tuned models. Designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases. Dolphin aims to be a general purpose instruct model, similar to the models behind ChatGPT, Claude, Gemini.

Dolphin3.0 Mistral 24B의 컨텍스트 윈도우는 32,768토큰입니다.

Dolphin3.0 Mistral 24B은(는) 2025년 2월 13일에 출시되었습니다. 지식 기준일은 2024년 4월 30일입니다.

다음 제공업체의 추가 모델 Cognitive Computations

Dolphin3.0 R1 Mistral 24B

Dolphin 3.0 R1 is the next generation of the Dolphin series of instruct-tuned models. Designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases.

The R1 version has been trained for 3 epochs to reason using 800k reasoning traces from the Dolphin-R1 dataset.

Dolphin aims to be a general purpose reasoning instruct model, similar to the models behind ChatGPT, Claude, Gemini.

Part of the Dolphin 3.0 Collection Curated and trained by Eric Hartford, Ben Gitter, BlouseJury and DphnAI

텍스트컨텍스트 33K
Dolphin Llama 3 70B 🐬

Dolphin 2.9 is designed for instruction following, conversational, and coding. This model is a fine-tune of Llama 3 70B. It demonstrates improvements in instruction, conversation, coding, and function calling abilities, when compared to the original.

Uncensored and is stripped of alignment and bias, it requires an external alignment layer for ethical use. Users are cautioned to use this highly compliant model responsibly, as detailed in a blog post about uncensored models at erichartford.com/uncensored-models.

Usage of this model is subject to Meta's Acceptable Use Policy.

텍스트컨텍스트 8K
Dolphin 2.9.2 Mixtral 8x22B 🐬

Dolphin 2.9 is designed for instruction following, conversational, and coding. This model is a finetune of Mixtral 8x22B Instruct. It features a 64k context length and was fine-tuned with a 16k sequence length using ChatML templates.

This model is a successor to Dolphin Mixtral 8x7B.

The model is uncensored and is stripped of alignment and bias. It requires an external alignment layer for ethical use. Users are cautioned to use this highly compliant model responsibly, as detailed in a blog post about uncensored models at erichartford.com/uncensored-models.

#moe #uncensored

텍스트컨텍스트 66K
Dolphin 2.6 Mixtral 8x7B 🐬

This is a 16k context fine-tune of Mixtral-8x7b. It excels in coding tasks due to extensive training with coding data and is known for its obedience, although it lacks DPO tuning.

The model is uncensored and is stripped of alignment and bias. It requires an external alignment layer for ethical use. Users are cautioned to use this highly compliant model responsibly, as detailed in a blog post about uncensored models at erichartford.com/uncensored-models.

#moe #uncensored

텍스트컨텍스트 33K