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--- |
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license: cc-by-nc-4.0 |
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language: |
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- en |
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widget: |
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- text: | |
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User: How do I prepare for a rodeo competition? |
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Assistant: |
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example_title: "Rodeo Preparation Tips" |
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- text: | |
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User: Can you tell me a story about the Wild West? |
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Assistant: |
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example_title: "Wild West Tales" |
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- text: | |
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User: What are some traditional cowboy songs? |
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Assistant: |
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example_title: "Traditional Cowboy Songs" |
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- text: | |
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User: How do I take care of a horse? |
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Assistant: |
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example_title: "Horse Care Guidelines" |
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- text: | |
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User: What's the history of the American cowboy? |
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Assistant: |
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example_title: "History of American Cowboys" |
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--- |
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# Tiny-Cowboy-1.1b-v0.1 |
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Tiny-Cowboy-1.1b-v0.1 is a specialized language model designed for generating cowboy-themed content. Developed by phanerozoic, this model is fine-tuned from TinyLlamaTinyLlama-1.1B-Chat-v1.0, optimized for environments with limited computing resources. |
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### Version Control |
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Tiny-Cowboy-1.1b-v0.1 marks the first release of this cowboy-focused language model. |
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### Performance |
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The model excels in generating engaging cowboy narratives and demonstrates a strong grasp of cowboy culture and lifestyle. However, it is less effective in general language tasks, especially in scientific and technical domains. |
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### Direct Use |
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Ideal for thematic language generation, particularly in applications where cowboy culture and storytelling are central. Less suited for general-purpose use or scenarios requiring detailed, accurate scientific explanations. |
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### Training Data |
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Incorporates a dataset focused on cowboy and Wild West themes, derived from the foundational TinyLlama-1.1B model. |
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### Custom Stopping Strings |
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Custom stopping strings were used to refine output quality: |
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- "}," |
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- "User:" |
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- "You:" |
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- "\nUser" |
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- "\nUser:" |
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- "me:" |
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- "user" |
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- "\n" |
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### Training Hyperparameters and Fine-Tuning Details |
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- **Base Model Name**: TinyLlamaTinyLlama-1.1B-Chat-v1.0 |
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- **Base Model Class**: LlamaForCausalLM |
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- **Projections**: gate, down, up, q, k, v, o |
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- **LoRA Rank**: 16 |
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- **LoRA Alpha**: 32 |
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- **True Batch Size**: 4 |
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- **Gradient Accumulation Steps**: 1 |
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- **Epochs**: 1 |
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- **Learning Rate**: 3e-4 |
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- **LR Scheduler**: Linear |
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- **LLaMA Target Projections**: All targets modified |
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- **Loss**: 2.096 |
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- **Stop Step**: 42 |
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### Limitations |
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While adept at cowboy-themed content, Tiny-Cowboy-v0.1 struggles with topics outside its specialty, particularly in scientific and technical areas. The model tends to incorporate cowboy elements into responses, regardless of the question's relevance. |
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### Compute Infrastructure |
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Efficiently trained, demonstrating the feasibility of specialized model training in resource-constrained environments. |
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### Results |
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Successfully generates cowboy-themed responses, maintaining thematic consistency. However, it shows limitations in handling more complex, non-cowboy-related queries. |
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### Summary |
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Tiny-Cowboy-1.1b-v0.1 is a significant development in thematic, lightweight language models, ideal for cowboy-themed storytelling and educational purposes. Its specialization, however, limits its applicability in broader contexts, particularly where accurate, technical knowledge is required. |
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### Acknowledgments |
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Special thanks to the TinyLlama-1.1B team, whose foundational work was instrumental in the development of Tiny-Cowboy-v0.1. |
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