SowmithDurusoju/sowmith_grpo_llama_1b_finetune_16bit
TEXT GENERATIONConcurrent Unit Cost:1Model Size:1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jun 14, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
The SowmithDurusoju/sowmith_grpo_llama_1b_finetune_16bit is a 1 billion parameter Llama-3.2-1B-Instruct model, developed by SowmithDurusoju. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its efficient fine-tuning process for optimized performance.
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Model Overview
This model, developed by SowmithDurusoju, is a fine-tuned version of the Llama-3.2-1B-Instruct architecture, featuring 1 billion parameters and a context length of 32768 tokens. It was specifically fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Llama-3.2-1B-Instruct. - Parameter Count: 1 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Leverages Unsloth for significantly accelerated fine-tuning.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
- Efficient Prototyping: Ideal for developers needing to quickly iterate and experiment with Llama-based models due to its faster training.
- Resource-Constrained Environments: Suitable for applications where computational resources or training time are limited.
- General Language Generation: Can be applied to various text generation and understanding tasks, benefiting from its Llama 3.2 instruction-tuned base.