10 actions in 10 pieces of software · ranked by words, meaning and measured trust · 618 ms
modelrecord
- meta/llama-4-maverick-instruct
A 17 billion parameter model with 128 experts
- meta/llama-4-maverick-instruct
modelrecord42,550 downloads/month
- image-text-to-text
Task: image-text-to-text
- image-text-to-text
modelrecord
- meta/llama-4-scout-instruct
A 17 billion parameter model with 16 experts
- meta/llama-4-scout-instruct
modelrecord67,779 downloads/month
- text-generation
Task: text-generation
- text-generation
modelrecord
- meta/codellama-34b-instruct
A 34 billion parameter Llama tuned for coding and conversation
- meta/codellama-34b-instruct
modelrecord
- meta/codellama-70b-instruct
A 70 billion parameter Llama tuned for coding and conversation
- meta/codellama-70b-instruct
modelrecord
- meta/codellama-13b-instruct
A 13 billion parameter Llama tuned for coding and conversation
- meta/codellama-13b-instruct
modelrecord
- meta/meta-llama-3-8b-instruct
An 8 billion parameter language model from Meta, fine tuned for chat completions
- meta/meta-llama-3-8b-instruct
modelrecord
- meta/meta-llama-3-70b-instruct
A 70 billion parameter language model from Meta, fine tuned for chat completions
- meta/meta-llama-3-70b-instruct
modelrecord
- meta/codellama-7b-instruct
A 7 billion parameter Llama tuned for coding and conversation
- meta/codellama-7b-instruct
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.