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nyunai/
nyun-c2-llama3-61B

Name: nyun-c2-llama3-61B
Availability: InStock

text-generation-inference

endpoints_compatible

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🔹 Key Highlights:

13% Fewer Parameters: nyun-c2-llama3-61B comprises approximately 13% fewer parameters than the popular Llama-3-70B.
Better Performance: Despite having fewer parameters, this model performs better than Llama3-70B on multiple benchmarks.
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-llama3-61B	Meta-Llama3-70B	Meta-Llama2-70B	MBZUAI K2-65B
MMLU (5-shot)	78.8	79.5	69.7	67.9
Winogrande (5-shot)	86.2	83.1	81.8	77.0
BoolQ (0-shot)	85.1	79.0	73.1	83.0
Hellaswag (10-shot)	87.4	88.0	86.9	85.5
Arc Challenge (25-shot)	67.6	68.8	67.2	64.8
GSM8K (5-shot)	79.4	76.9	52.6	50.2
Average	80.7	79.2	71.9	71.4

Developed by: Nyun AI
Repository: Github

nyunai/nyun-c2-llama3-61B

🔹 Key Highlights:

Pipeline and Collaboration

Model Performance

nyunai/
nyun-c2-llama3-61B