anassaifi12/sql_model_2
TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 18, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The anassaifi12/sql_model_2 is a 3.1 billion parameter Qwen2-based language model, developed by anassaifi12 and fine-tuned from unsloth/qwen2.5-3b-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. With a context length of 32768 tokens, it is optimized for specific tasks related to its fine-tuning, likely involving SQL given its name.
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Model Overview
The anassaifi12/sql_model_2 is a 3.1 billion parameter language model, fine-tuned by anassaifi12. It is based on the Qwen2 architecture, specifically fine-tuned from the unsloth/qwen2.5-3b-unsloth-bnb-4bit model.
Key Characteristics
- Architecture: Qwen2-based, fine-tuned from a 3.1B parameter variant.
- Training Efficiency: Leverages Unsloth and Huggingface's TRL library for accelerated training, reportedly achieving 2x faster training speeds.
- Context Length: Supports a substantial context window of 32768 tokens.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
Given its name, sql_model_2, this model is likely specialized for tasks involving SQL, such as:
- SQL Generation: Creating SQL queries from natural language prompts.
- SQL Understanding: Interpreting and analyzing existing SQL code.
- Database Interaction: Assisting with tasks related to database querying and management through language.