ManthanKulakarni/LLaMa-13b-Text2JQLBuilder
TEXT GENERATIONConcurrency Cost:1Model Size:13BQuant:FP8Ctx Length:4kLicense:bsdArchitecture:Transformer Open Weights Cold
ManthanKulakarni/LLaMa-13b-Text2JQLBuilder is a 13 billion parameter LLaMa-based model developed by ManthanKulakarni. This model is specifically fine-tuned for converting natural language text into JQL (Jira Query Language) queries. It excels at understanding user intent and translating it into precise, functional JQL for efficient issue tracking and management. Its primary strength lies in automating JQL query generation from plain English descriptions.
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Overview
ManthanKulakarni/LLaMa-13b-Text2JQLBuilder is a specialized 13 billion parameter language model built upon the LLaMa architecture. Developed by ManthanKulakarni, its core function is to bridge the gap between natural language and Jira Query Language (JQL).
Key Capabilities
- Natural Language to JQL Conversion: The model is expertly fine-tuned to interpret user requests in plain English and generate accurate JQL queries.
- JQL Generation: It can construct complex JQL queries based on various criteria, including issue types, statuses, assignees, projects, and custom fields.
- Context Length: With a context length of 4096 tokens, it can handle moderately detailed natural language descriptions for query generation.
Good For
- Jira Users: Ideal for users who need to quickly generate JQL queries without memorizing syntax or field names.
- Automation: Can be integrated into tools or workflows to automate the creation of JQL for reports, dashboards, or issue filtering.
- Developers and Project Managers: Useful for streamlining issue tracking and data extraction from Jira by simplifying query construction.