garrachonr/LlamaDos
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kArchitecture:Transformer0.0K Cold
LlamaDos is a 7 billion parameter conversational language model developed by garrachonr, fine-tuned from Meta's Llama 2-7b architecture. Optimized specifically for Spanish conversations, it was trained on over 250,000 conversational data points using LoRa and quantization techniques. This model excels at generating natural and helpful responses in Spanish, making it suitable for Spanish-language dialogue applications.
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LlamaDos: Spanish Conversational Model
LlamaDos is a 7 billion parameter language model, fine-tuned from Meta's Llama 2-7b, specifically designed for conversations in Spanish. Developed by garrachonr, this model leverages various optimization techniques, including LoRa and quantization, to enable efficient training on consumer-grade hardware.
Key Capabilities
- Spanish Dialogue Generation: Optimized for natural and fluent conversations in Spanish.
- Efficient Training: Utilized LoRa and quantization, allowing training on a single RTX 3090 GPU over approximately 140 hours.
- Extensive Training Data: Trained on more than 250,000 conversational data points to enhance its Spanish dialogue abilities.
- Llama 2 Architecture: Follows the original Llama 2 data structure for inference, ensuring compatibility and expected behavior.
Good For
- Spanish-speaking chatbots: Ideal for creating conversational AI agents that interact in Spanish.
- Customer support in Spanish: Can be integrated into systems requiring natural language understanding and generation for Spanish-speaking users.
- Educational tools: Useful for applications that require dialogue-based learning or information retrieval in Spanish.