arijitx/qwen2.5-1.5B_Bn
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Feb 27, 2025Architecture:Transformer0.0K Featherless Exclusive Warm
The arijitx/qwen2.5-1.5B_Bn model is a 1.5 billion parameter language model, likely based on the Qwen2.5 architecture, shared by arijitx. With a context length of 32768 tokens, it is designed for general language understanding and generation tasks. This model is suitable for applications requiring a compact yet capable LLM for various text-based operations.
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Overview
This model, arijitx/qwen2.5-1.5B_Bn, is a 1.5 billion parameter language model, likely derived from the Qwen2.5 series. It features a substantial context window of 32768 tokens, enabling it to process and generate longer sequences of text. The model card indicates that it is a Hugging Face Transformers model, automatically generated upon pushing to the Hub.
Key Capabilities
- General Language Understanding: Capable of processing and interpreting various forms of text.
- Text Generation: Can generate coherent and contextually relevant text based on prompts.
- Extended Context Handling: Benefits from a 32768-token context length, suitable for tasks requiring broader contextual awareness.
Good for
- Applications requiring a relatively small yet powerful language model.
- Tasks involving text summarization, question answering, or content creation where context is important.
- Developers looking for a base model to fine-tune for specific downstream NLP tasks.