substratusai/weaviate-gorilla-v3
The substratusai/weaviate-gorilla-v3 is a 7 billion parameter language model, fine-tuned for generating API requests based on natural language commands, API references, and schema definitions. Developed by substratusai, this model excels at translating user intent into structured API queries, specifically demonstrated with GraphQL for Weaviate. It features a 4096-token context length, making it suitable for complex API interaction tasks.
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substratusai/weaviate-gorilla-v3: API Request Generation
The substratusai/weaviate-gorilla-v3 is a 7 billion parameter model specifically fine-tuned for generating API requests from natural language instructions. Its primary strength lies in its ability to interpret user commands, leverage provided API references, and understand schema definitions to formulate accurate API queries.
Key Capabilities
- Natural Language to API Query Translation: Converts user-friendly commands into structured API requests.
- Schema-Aware Generation: Utilizes given schema definitions to ensure generated queries are syntactically correct and semantically aligned with the data model.
- API Reference Integration: Incorporates information from API documentation and examples to construct appropriate queries.
- GraphQL Generation: Demonstrated capability in generating GraphQL queries, particularly for Weaviate, given a schema and an example.
Good For
- Automating API Interactions: Ideal for applications requiring programmatic generation of API calls based on user input.
- Developer Tools: Can be integrated into tools that assist developers in quickly constructing complex API queries.
- Weaviate Query Construction: Particularly effective for users working with Weaviate databases who need to generate GraphQL queries for data retrieval or manipulation.