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cognitivecomputations의 파비콘

Dolphin 2.9.2 Mixtral 8x22B 🐬

cognitivecomputations/dolphin-mixtral-8x22b

모델 가중치

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-modelsOpens in new tab.

#moe #uncensored

모달리티
컨텍스트
66K
출시일
2024년 6월 8일
지식 기준일
2024년 1월
활동자주 묻는 질문탐색

활동

시간에 따른 이 모델의 토큰 사용량 및 요청 트래픽.

현재 EU 역내 라우팅을 통해 사용할 수 없습니다. 리전 내 라우팅 문서

더 많은 모델 탐색

AI 모델 순위순위

자주 묻는 질문

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.

Dolphin 2.9.2 Mixtral 8x22B 🐬의 컨텍스트 윈도우는 65,536토큰입니다.

Dolphin 2.9.2 Mixtral 8x22B 🐬의 출시일은 2024년 6월 8일입니다. 지식 기준일은 2024년 1월 31일입니다.

다음 제작사의 다른 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

텍스트33K 컨텍스트
Dolphin3.0 Mistral 24B

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 Collection Curated and trained by Eric Hartford, Ben Gitter, BlouseJury and DphnAI

텍스트33K 컨텍스트
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.

텍스트8K 컨텍스트
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

텍스트33K 컨텍스트