simplescaling/s1.1-14B
The simplescaling/s1.1-14B is a 14.8 billion parameter language model, a finetuned variant of Qwen2.5-14B-Instruct. It was finetuned on the s1K-1.1 dataset. This model is part of a series, with the developers recommending the s1.1-32B version for general use.
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Model Overview
The simplescaling/s1.1-14B is a 14.8 billion parameter language model based on the Qwen2.5-14B-Instruct architecture. This model has undergone finetuning using the s1K-1.1 dataset.
Key Characteristics
- Base Model: Qwen2.5-14B-Instruct
- Parameter Count: 14.8 billion parameters
- Context Length: 131,072 tokens
- Training Data: Finetuned on the s1K-1.1 dataset.
Important Considerations
- Evaluation Status: This specific model version has not been formally evaluated by its developers.
- Developer Recommendation: The creators explicitly recommend using the
s1.1-32Bmodel for general applications, suggesting that this 14B version might be an intermediate or experimental release.
Potential Use Cases
Given its finetuning on the s1K-1.1 dataset, this model could be explored for tasks related to the characteristics of that dataset. However, due to the lack of evaluation and the developer's recommendation for a larger variant, users should proceed with caution and conduct thorough testing for any critical applications. It might serve as a base for further experimentation or domain-specific finetuning where a 14B parameter model is preferred for resource constraints.