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nyunai/
nyun-c2-llama3-56B

Name: nyun-c2-llama3-56B
Availability: InStock

text-generation-inference

endpoints_compatible

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🔹 Key Highlights:

20% Fewer Parameters: nyun-c2-llama3-56B comprises approximately 20% fewer parameters than the popular Llama-3-70B.
Better Performance: Despite having far fewer parameters, this model has better performance than 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-c2-llama3-56B	Meta-Llama3-70B	Meta-Llama2-70B	MBZUAI K2-65B
MMLU (5-shot)	78.4	79.5	69.7	67.9
Winogrande (5-shot)	85.5	83.1	81.8	77.0
BoolQ (0-shot)	85.1	79.0	73.1	83.0
Hellaswag (10-shot)	86.9	88.0	86.9	85.5
Arc Challenge (25-shot)	66.0	68.8	67.2	64.8
GSM8K (5-shot)	76.8	76.9	52.6	50.2
Average	79.8	79.2	71.9	71.4

Developed by: Nyun AI
Repository: Github

nyunai/nyun-c2-llama3-56B

🔹 Key Highlights:

Pipeline and Collaboration

Model Performance

nyunai/
nyun-c2-llama3-56B