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nyunai/
nyun-c1-llama3-62B

Name: nyun-c1-llama3-62B
Availability: InStock

text-generation-inference

endpoints_compatible

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🔹 Key Highlights:

12% Fewer Parameters: nyun-llama3-62B comprises approximately 12% fewer parameters than the popular Llama-3-70B.
Intact Performance: Despite having fewer parameters, our model performs at par if not better, and occasionally outperforms, the Llama-3-70B.
No Fine-Tuning Required: This model undergoes no fine-tuning, showcasing the raw potential of our optimization techniques.

Pipeline and Collaboration

For insights into the pipeline and the list of methods used to optimize these models, check out our PruneGPT repository (https://github.com/nyunAI/PruneGPT). We invite companies and organizations interested in joining forces with us to release more such open-source variants to reach out at contact@nyunai.com.

Model Performance

Dataset	Nyun-Llama3-62B	Meta-Llama3-70B	Meta-Llama2-70B	MBZUAI K2-65B
MMLU (5-shot)	78.9	79.5	69.7	67.9
Winogrande (5-shot)	83.3	83.1	81.8	77.0
BoolQ (0-shot)	85.3	79.0	73.1	83.0
Hellaswag (10-shot)	85.8	88.0	86.9	85.5
Arc Challenge (25-shot)	65.9	68.8	67.2	64.8
GSM8K (5-shot)	70.9	76.9	52.6	50.2
Average	78.4	79.2	71.9	71.4

Developed by: Nyun AI
Repository: Github

nyunai/nyun-c1-llama3-62B

🔹 Key Highlights:

Pipeline and Collaboration

Model Performance

nyunai/
nyun-c1-llama3-62B