10 actions in 8 pieces of software · ranked by words, meaning and measured trust · 645 ms
modelrecord
- nemotron-4-340b-instruct
Task: Nemotron-4-340B-Instruct
- nim
Task: NIM
- automotive-/-transportation
Task: Automotive / Transportation
- nemotron-4-340b-instruct
modelrecord24,503 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
- joehoover/falcon-40b-instruct
A 40 billion parameter language model trained to follow human instructions.
- joehoover/falcon-40b-instruct
modelrecord
- llama-3.1-nemotron-70b-instruct
Task: Llama-3.1-Nemotron-70B-Instruct
- llama-3.1-nemotron-70b-instruct
modelrecord
- andreasjansson/codellama-34b-instruct-gguf
CodeLlama-34B-instruct with support for grammars and jsonschema
- andreasjansson/codellama-34b-instruct-gguf
modelrecord45,669 downloads/month
- any-to-any
Task: any-to-any
- any-to-any
modelrecord
- ibm-granite/granite-3.3-8b-instruct
Granite-3.3-8B-Instruct is a 8-billion parameter 128K context length language model fine-tuned for improved reasoning and instruction-following capabilities.
- ibm-granite/granite-3.3-8b-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.