Platypus2 70B

Released
2023-12-15
Last refreshed
2026-05-19
Status
Researched 151d ago
Open weightsCommercial use: restrictedClassificationJSON / Tool use
Specifications
Family
Platypus2
Released
2023-12-15
Parameters
70B
Architecture
Decoder Only
Specialization
general
Openness
Open weights
License
Llama 2 CommunityRestricted
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Rapid, cost-effective LLM refinement technology

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Founded N/A
Website
Pricing

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About

Platypus2-70B is an advanced auto-regressive language model leveraging the LLaMA 2 transformer architecture, specifically designed by Cole Hunter and Ariel Lee. Distinguished for its exceptional capabilities in STEM and logic tasks, the model's proficiency is bolstered by its training on the Open-Platypus dataset, optimized using Low-Rank Adaptation (LoRA) and Parameter-Efficient Fine-Tuning (PEFT) techniques. This efficient training method enables performance optimization with fewer computational resources. Notably, Platypus2-70B once attained the top spot on HuggingFace's Open LLM Leaderboard, showcasing its robust performance across various benchmark metrics.

Providers

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Deprecated provider routes(1)

ProviderStatusCatalog ID
Together AIDeprecated—

Available via routers & gateways(1)

Capabilities

Structured Outputs

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