adeljebali/llama3.2-3B-instruct
The adeljebali/llama3.2-3B-instruct is a 3.2 billion parameter instruction-tuned language model developed by adeljebali, finetuned from unsloth/Llama-3.2-3B-Instruct-bnb-4bit. This model is specifically designed and optimized for Grammatical Error Correction (GEC) in French. It leverages Unsloth for faster training and offers a 32768 token context length, making it suitable for French language processing tasks requiring high accuracy in grammar and style.
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Model Overview
The adeljebali/llama3.2-3B-instruct is a 3.2 billion parameter instruction-tuned language model developed by adeljebali. It is finetuned from the unsloth/Llama-3.2-3B-Instruct-bnb-4bit base model, utilizing Unsloth and Huggingface's TRL library for accelerated training.
Key Capabilities
- French Grammatical Error Correction (GEC): The primary specialization of this model is to identify and correct grammatical errors within French text.
- Llama 3.2 Architecture: Built upon the Llama 3.2 series, inheriting its foundational language understanding capabilities.
- Optimized Training: Training was conducted using Unsloth, which facilitates faster fine-tuning processes.
- Context Length: Supports a context window of 32768 tokens, allowing for processing of longer French texts for GEC tasks.
Use Cases
This model is particularly well-suited for applications requiring robust French language processing, specifically:
- Automated French Proofreading: Correcting grammar, spelling, and style in French documents.
- Content Creation Assistance: Helping writers improve the grammatical quality of their French content.
- Educational Tools: Providing feedback on French writing for learners.
Licensing
The model is released under the Apache-2.0 license.