Zum Inhalt springen
Alpha
  • Modelle
  • Ranglisten
  • Ori
Vertrieb kontaktieren

Fußzeile

OpenRouterOpenRouter
© 2026 OpenRouter, Inc

Produkt

  • Chat
  • Ranglisten
  • Leistungsvergleiche
  • Apps
  • Entdecken
  • Modelle
  • Ori
  • Sammlungen
  • Anbieter
  • Tools
  • Preise
  • Business
  • Enterprise
  • Labs

Unternehmen

  • Über
  • Blog
  • Kunden
  • Karriere
    Offene Stellen
  • Datenschutz
  • Nutzungsbedingungen
  • Vertrauenszentrum
  • Support
  • Funktioniert mit OR
  • Daten
  • Marke

Entwickler

  • Dokumentation
  • API-Referenz
  • Entwicklerplattform
  • Status
  • KI-Sitemap

Verbinden

  • Discord
  • GitHub
  • LinkedIn
  • X
  • YouTube
Favicon für cognitivecomputations

Dolphin 2.9.2 Mixtral 8x22B 🐬

cognitivecomputations/dolphin-mixtral-8x22b

Modellgewichte

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

Modalitäten
Kontext
66K
Veröffentlicht
8. Juni 2024
Wissensstand
Jan. 2024
AktivitätFAQEntdecken

Aktivität

Token-Volumen und Anfrageaufkommen für dieses Modell im Zeitverlauf.

Derzeit nicht über EU-regionales Routing verfügbar. Dokumentation zum regionsinternen Routing

Weitere Modelle entdecken

KI-ModellranglistenRangliste

Häufig gestellte Fragen

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 🐬 hat ein Kontextfenster von 65.536 Token.

Dolphin 2.9.2 Mixtral 8x22B 🐬 wurde am 8. Juni 2024 veröffentlicht. Der Wissensstand reicht bis zum 31. Januar 2024.

Weitere Modelle von 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

Text33K Kontext
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

Text33K Kontext
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.

Text8K Kontext
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

Text33K Kontext