skshmjn/llama-3.2-1B-Mongo-query-generator
TEXT GENERATIONConcurrency Cost:1Model Size:1BQuant:BF16Ctx Length:32kPublished:Mar 20, 2025License:apache-2.0Architecture:Transformer Open Weights Cold
The skshmjn/llama-3.2-1B-Mongo-query-generator is a 1 billion parameter model fine-tuned from unsloth/Llama-3.2-1B-Instruct, specifically designed to generate MongoDB queries from natural language prompts. It supports a wide range of operations including basic CRUD, aggregation pipelines, indexing, and nested queries. This model is optimized for efficient inference and excels at translating user requests into functional MongoDB code.
Loading preview...
Model Overview
This model, developed by skshmjn, is a 1 billion parameter Llama-3.2-1B variant specifically fine-tuned to generate MongoDB queries from natural language prompts. It leverages the unsloth/Llama-3.2-1B-Instruct as its base and was trained on the skshmjn/mongodb-chat-query dataset.
Key Capabilities
- Generates MongoDB queries for various operations.
- Supports basic CRUD operations (
find,insert,update,delete). - Handles complex Aggregation Pipelines including
$group,$match,$lookup, and$sort. - Capable of generating queries for Indexing & Performance tasks.
- Facilitates Nested Queries & Joins using
$lookup. - Optimized for efficient fine-tuning using Unsloth and fast inference via GGUF quantization.
Good For
- Developers needing to quickly translate natural language into MongoDB query syntax.
- Automating the creation of complex MongoDB aggregation pipelines.
- Integrating natural language interfaces for database interactions in applications.
- Environments requiring efficient, specialized query generation on both CPU and GPU.