iSanzy1/akmal-legal-model-sft
TEXT GENERATIONConcurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 26, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The iSanzy1/akmal-legal-model-sft is a 3.1 billion parameter Qwen2.5-3B-Instruct model, fine-tuned by iSanzy1. This model was optimized for faster training using Unsloth and Huggingface's TRL library. It is designed for specific applications, leveraging its efficient training methodology to deliver targeted performance. The model is licensed under Apache-2.0.
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Model Overview
The iSanzy1/akmal-legal-model-sft is a 3.1 billion parameter language model, fine-tuned by iSanzy1. It is based on the unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit architecture, indicating its foundation in the Qwen2.5 series.
Key Characteristics
- Efficient Training: This model was fine-tuned significantly faster using Unsloth and Huggingface's TRL library. This approach allows for quicker iteration and deployment of specialized models.
- Parameter Count: With 3.1 billion parameters, it offers a balance between performance and computational efficiency, making it suitable for various applications where resource constraints are a consideration.
- License: The model is released under the Apache-2.0 license, providing permissive use for developers and researchers.
Potential Use Cases
Given its foundation and efficient fine-tuning, this model is likely suitable for:
- Specialized Instruction Following: As an instruction-tuned model, it can be adapted for specific tasks by providing clear instructions.
- Resource-Constrained Environments: Its 3.1B parameter size makes it a candidate for deployment in environments with limited computational resources compared to larger models.
- Further Fine-tuning: Developers can potentially use this model as a base for additional fine-tuning on highly specific datasets, leveraging its optimized training history.