UdayKocherla/finetunned_llama_3.1
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jun 26, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
UdayKocherla/finetunned_llama_3.1 is an 8 billion parameter Llama 3.1 model, fine-tuned by UdayKocherla. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It is designed for general language generation tasks, leveraging the Llama 3.1 architecture for efficient performance.
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UdayKocherla/finetunned_llama_3.1: An Efficiently Fine-Tuned Llama 3.1 Model
This model, developed by UdayKocherla, is an 8 billion parameter variant of the Llama 3.1 architecture. It stands out due to its fine-tuning process, which leveraged Unsloth and Huggingface's TRL library. This combination allowed for a 2x faster training speed compared to standard methods.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/meta-llama-3.1-8b-unsloth-bnb-4bit. - Parameter Count: 8 billion parameters.
- Training Efficiency: Utilizes Unsloth for significantly accelerated fine-tuning.
- License: Released under the Apache-2.0 license.
Good For
- Developers seeking a Llama 3.1-based model that has undergone an optimized fine-tuning process.
- Applications requiring a capable 8B parameter model for various language generation and understanding tasks.
- Use cases where efficient training methodologies are a point of interest or a performance indicator.