g-assismoraes/DeltaP2S-Llama2-13B-vPAPER
TEXT GENERATIONPricing:Input $1.5 / Output $2.1Concurrent Unit Cost:1Model Size:13BQuant:FP8Context Size:4kPublished:Aug 25, 2026Architecture:Transformer Featherless Exclusive Cold
DeltaP2S-Llama2-13B-vPAPER by g-assismoraes is a 13 billion parameter language model based on the Llama 2 architecture, fine-tuned from meta-llama/Llama-2-13b-hf. This model is a merged checkpoint from a standalone Delta-P2S experiment, indicating specialized training. It is designed for general language tasks, leveraging its Llama 2 foundation and specific Delta-P2S optimization.
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Overview
This model, g-assismoraes/DeltaP2S-Llama2-13B-vPAPER, is a 13 billion parameter language model built upon the meta-llama/Llama-2-13b-hf base architecture. It represents a merged checkpoint derived from a standalone Delta-P2S experiment, suggesting a focused fine-tuning approach beyond the original Llama 2 model.
Key Capabilities
- Llama 2 Foundation: Inherits the robust language understanding and generation capabilities of the Llama 2 13B model.
- Delta-P2S Optimization: Incorporates specific optimizations from the Delta-P2S experiment, which typically aims to enhance performance or efficiency for particular tasks, though the exact nature of these enhancements is not detailed in the provided README.
- Context Length: Supports a context length of 4096 tokens, suitable for processing moderately long inputs.
Good For
- General Language Tasks: Suitable for a wide range of applications requiring natural language processing, given its Llama 2 base.
- Research and Experimentation: Ideal for researchers and developers interested in exploring the effects of Delta-P2S fine-tuning on the Llama 2 architecture.
- Applications requiring a 13B parameter model: Offers a balance between performance and computational requirements for various deployment scenarios.