10 actions in 8 pieces of software · ranked by words, meaning and measured trust · 466 ms
modelrecord40 downloads/month
- text-generation
Task: text-generation
- text-generation
modelrecord
- meta/llama-2-7b-chat
A 7 billion parameter language model from Meta, fine tuned for chat completions
- meta/llama-2-7b-chat
modelrecord
- meta/llama-2-70b-chat
A 70 billion parameter language model from Meta, fine tuned for chat completions
- meta/llama-2-70b-chat
modelrecord
- lucataco/dolphin-2.1-mistral-7b
Mistral-7B-v0.1 fine tuned for chat with the Dolphin dataset (an open-source implementation of Microsoft's Orca)
- lucataco/dolphin-2.1-mistral-7b
modelrecord
- language-modeling
Task: Language Modeling
- llama2-7b-chat
Task: Llama2-7B-chat
- question-answering
Task: Question Answering
- language-modeling
modelrecord
- nateraw/mistral-7b-openorca
Mistral-7B-v0.1 fine tuned for chat with the OpenOrca dataset.
- nateraw/mistral-7b-openorca
modelrecord
- lucataco/llama-2-7b-chat
Meta's Llama 2 7b Chat - GPTQ
- lucataco/llama-2-7b-chat
modelrecord
- amberwhitehead/llama2-7b-chat-gptq
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.