Llama-3.2-3B-Instruct-GGUF
| Property | Value |
|---|---|
| Parameter Count | 3.21B |
| License | llama3.2 |
| Supported Languages | English, German, French, Italian, Portuguese, Hindi, Spanish, Thai |
| Model Type | Instruction-tuned Multilingual LLM |
What is Llama-3.2-3B-Instruct-GGUF?
Llama-3.2-3B-Instruct-GGUF is a quantized version of Meta's Llama 3.2 language model, optimized for multilingual dialogue applications. It represents a significant advancement in accessible AI, offering various quantization levels to balance performance and resource requirements.
Implementation Details
The model is available in multiple GGUF quantization formats, ranging from Q2_K (1.36GB) to F16 (6.43GB), each offering different trade-offs between model size and performance. Memory requirements span from 4.66GB to 9.38GB, making it suitable for different hardware configurations.
- Multiple quantization options for different use cases
- Optimized for dialogue and instruction-following tasks
- Supports 8 different languages
- Implements specific prompt template for optimal performance
Core Capabilities
- Multilingual dialogue generation
- Agentic retrieval and summarization
- Instruction-following across multiple languages
- Competitive performance on industry benchmarks
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its efficient multilingual capabilities in a relatively compact 3B parameter size, with various quantization options making it accessible for different hardware configurations.
Q: What are the recommended use cases?
The model excels in multilingual dialogue applications, text generation, summarization, and instruction-following tasks across eight different languages.
