S2R-data/Llama-3.1-8B-S2R-ORL
TEXT GENERATIONPricing:Input $0.2 / Cached $0.028 / Output $0.32Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 8, 2025License:mitArchitecture:Transformer Open Weights Featherless Exclusive Cold
S2R-data/Llama-3.1-8B-S2R-ORL is an 8 billion parameter language model based on the Llama 3.1 architecture, developed by S2R-data. This model features a substantial context length of 32768 tokens. Its specific differentiators and primary use cases are not detailed in the provided README, suggesting it may be a base or foundational model for further fine-tuning or specific applications.
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Overview
S2R-data/Llama-3.1-8B-S2R-ORL is an 8 billion parameter language model built upon the Llama 3.1 architecture. It is developed by S2R-data and supports a context window of 32768 tokens. The model's license is MIT, indicating permissive usage.
Key Capabilities
- Llama 3.1 Architecture: Leverages the foundational capabilities of the Llama 3.1 series.
- 8 Billion Parameters: Offers a balance between performance and computational efficiency.
- Extended Context Window: Supports processing and generating text with up to 32768 tokens, beneficial for tasks requiring long-range coherence or extensive input.
Good For
- General Language Understanding and Generation: Suitable for a wide array of NLP tasks given its base architecture.
- Research and Development: Its permissive MIT license makes it a good candidate for academic and commercial research.
- Foundation for Fine-tuning: Can serve as a robust base model for further specialization on specific datasets or tasks, particularly those benefiting from a large context window.