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