roboflow/inference
Dec 2024 – Dec 2024
1 Month active
Languages Used
Python
Technical Skills
API IntegrationBackend DevelopmentFull Stack DevelopmentMachine Learning WorkflowsModel ConfigurationPython Development
Archit H Barve
PROFILE
Archit H Barve
Archit Barve developed and integrated the Llama Vision Model within the roboflow/inference repository, focusing on enabling image-based prompts and flexible task configurations through a new Llama Vision 3.2 workflow block. He implemented version mapping and dynamic base URL handling to support multiple Llama Vision model versions, ensuring compatibility and scalability. By configuring API and client defaults such as temperature, max tokens, and top_p sampling, Archit enhanced the workflow’s adaptability for diverse prompt requirements. His work leveraged Python for backend and full stack development, emphasizing robust API integration and machine learning workflow design. No major bugs were reported during this development period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
619
Activity Months1
Your Network
68 peopleWork History
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary: Delivered Llama Vision Model Integration in roboflow/inference, introducing a new Llama Vision 3.2 workflow block for image-based prompts and task configurations, with version mapping and API/client configuration to support multiple Llama Vision versions (base URL, default temperature/max tokens, and top_p). No major bugs reported this month.
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary: Delivered Llama Vision Model Integration in roboflow/inference, introducing a new Llama Vision 3.2 workflow block for image-based prompts and task configurations, with version mapping and API/client configuration to support multiple Llama Vision versions (base URL, default temperature/max tokens, and top_p). No major bugs reported this month.
December 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance70.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationBackend DevelopmentFull Stack DevelopmentMachine Learning WorkflowsModel ConfigurationPython Development
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