keystats/Legend_ocr_qwen2.5
VISIONPricing:Input $0.4 / Output $0.8Concurrent Unit Cost:1Model Size:7BQuant:FP8Context Size:32kPublished:Sep 24, 2026Architecture:Transformer Featherless Exclusive Cold
keystats/Legend_ocr_qwen2.5 is a 7 billion parameter language model with a 32768 token context length. This model is based on the Qwen2.5 architecture, designed for general language understanding and generation tasks. Its primary use case is as a foundational model for various NLP applications, offering a balance between performance and computational efficiency.
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Overview
keystats/Legend_ocr_qwen2.5 is a 7 billion parameter language model built upon the Qwen2.5 architecture, featuring a substantial context window of 32768 tokens. This model is designed for broad applicability in natural language processing tasks.
Key Capabilities
- General Language Understanding: Capable of processing and interpreting diverse textual inputs.
- Text Generation: Generates coherent and contextually relevant text for various prompts.
- Large Context Window: The 32768-token context length allows for processing and understanding longer documents and conversations, enabling more complex reasoning and information retention over extended interactions.
Good for
- Foundational NLP Applications: Suitable as a base model for a wide range of NLP tasks requiring robust language understanding and generation.
- Long-form Content Processing: Ideal for applications that involve analyzing or generating lengthy texts, such as document summarization, detailed question answering, or extended dialogue systems, due to its large context window.
- Research and Development: Provides a solid platform for further fine-tuning and experimentation in specific domains.