Ratnesh123/antigravity-qwen2.5-1.5b
Ratnesh123/antigravity-qwen2.5-1.5b is a 1.5 billion parameter causal language model with a context length of 32768 tokens. This model is based on the Qwen2.5 architecture. Due to the limited information in its model card, specific differentiators or primary use cases beyond general language generation cannot be definitively stated.
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Model Overview
This model, Ratnesh123/antigravity-qwen2.5-1.5b, is a 1.5 billion parameter language model built upon the Qwen2.5 architecture. It supports a substantial context length of 32768 tokens, allowing it to process and generate longer sequences of text.
Key Characteristics
- Architecture: Qwen2.5
- Parameter Count: 1.5 billion
- Context Length: 32768 tokens
Current Limitations
Based on the provided model card, detailed information regarding its specific training data, intended uses, performance benchmarks, or unique capabilities is currently marked as "More Information Needed." Therefore, its precise strengths, ideal applications, and potential biases or risks are not yet documented. Users should exercise caution and conduct their own evaluations before deploying this model for specific tasks.