sagnikM/grpo_sgd_llama3p1_8b_3k-seqlen_momentum_0p9_1e-3
The sagnikM/grpo_sgd_llama3p1_8b_3k-seqlen_momentum_0p9_1e-3 model is an 8 billion parameter language model with a 32K context length. This model is a fine-tuned variant, likely based on the Llama 3.1 architecture, incorporating specific training methodologies such as GRPO SGD with momentum 0.9 and a learning rate of 1e-3. Its specific differentiators and primary use cases are not detailed in the provided model card, which indicates 'More Information Needed' for most sections.
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Model Overview
This model, sagnikM/grpo_sgd_llama3p1_8b_3k-seqlen_momentum_0p9_1e-3, is an 8 billion parameter language model. It is likely based on the Llama 3.1 architecture, as indicated by its name, and features a notable context length of 32,768 tokens. The model's training incorporates specific optimization techniques, including GRPO SGD with a momentum of 0.9 and a learning rate of 1e-3.
Key Characteristics
- Parameter Count: 8 billion parameters.
- Context Length: Supports a substantial context window of 32,768 tokens.
- Training Methodology: Utilizes GRPO SGD with specific hyperparameters (momentum 0.9, learning rate 1e-3).
Current Status
The provided model card indicates that detailed information regarding its development, specific language support, license, fine-tuning origins, intended uses, biases, risks, limitations, training data, and evaluation results is currently marked as "More Information Needed." Users should be aware of these gaps when considering its application.