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README.md
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base_model:
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- Qwen/Qwen2.5-Coder-1.5B-Instruct
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library_name: transformers
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base_model:
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- Qwen/Qwen2.5-Coder-1.5B-Instruct
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library_name: transformers
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# Qwen2.5-Coder-RASA-Calm
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This model is a fine-tuned version of Qwen/Qwen2.5-Coder-1.5B-Instruct on the RASA Calm dataset for improved command generation and intent understanding.
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### Model Description
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This model extends Qwen2.5-Coder's capabilities by specializing in natural language understanding and command generation for conversational AI applications, particularly in the context of the RASA framework.
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### Training Data
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The model was fine-tuned on the RASA Calm demonstration dataset (rasa/command-generation-calm-demo-v1), which contains examples of:
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Natural language user inputs
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Corresponding intents and entities
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Generated command structures
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## Model Architecture
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Base model: Qwen2.5-Coder-1.5B-Instruct
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Architecture: Transformer-based
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Parameters: 1.5B
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Context window: 8192 tokens
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## Intended Use
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This model is designed for:
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Converting natural language inputs into RASA-compatible commands
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Understanding user intents in conversational AI applications
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Generating structured outputs for chatbot development
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## Limitations
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The model's performance is optimized for the RASA framework and may not generalize well to other command generation tasks
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Limited to the scope of intents and entities present in the CALM dataset
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Inherits any limitations present in the base Qwen2.5-Coder model
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