Pasan356/TinyLlama-SLT-LoRA-Merged
Pasan356/TinyLlama-SLT-LoRA-Merged is a 1.1 billion parameter language model, likely based on the TinyLlama architecture, that has been merged with a LoRA adapter. This model is a fine-tuned variant, though specific training details and its primary differentiators or use cases are not provided in its current documentation. It offers a compact size suitable for resource-constrained environments.
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Model Overview
Pasan356/TinyLlama-SLT-LoRA-Merged is a language model with 1.1 billion parameters. It is identified as a merged model, indicating that a Low-Rank Adaptation (LoRA) adapter has been integrated into a base model, likely from the TinyLlama family, to create this specific version. The model has a context length of 2048 tokens.
Key Characteristics
- Parameter Count: 1.1 billion parameters, making it a relatively compact model.
- Context Length: Supports a context window of 2048 tokens.
- Architecture: Implies a base TinyLlama architecture with LoRA fine-tuning merged in.
Use Cases and Limitations
Due to the limited information provided in the model card, specific direct use cases, downstream applications, or out-of-scope uses are not detailed. Similarly, information regarding training data, evaluation metrics, potential biases, risks, or environmental impact is currently marked as "More Information Needed." Users should be aware of these limitations and exercise caution, as the model's performance characteristics and ethical considerations are not yet documented.