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--- |
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license: llama3.2 |
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license_link: https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct/blob/main/LICENSE.txt |
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library: llama.cpp |
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library_link: https://github.com/ggerganov/llama.cpp |
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base_model: |
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- meta-llama/Llama-3.2-1B-Instruct |
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language: |
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- en |
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- de |
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- fr |
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- it |
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- pt |
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- hi |
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- es |
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- th |
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pipeline_tag: text-generation |
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tags: |
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- nlp |
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- code |
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- gguf |
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--- |
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## LLaMA 3.2 1B Instruct |
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LLaMA 3.2 1B Instruct is a multilingual instruction-tuned language model with 1.23 billion parameters. Designed for diverse multilingual dialogue and summarization tasks, it offers effective performance on a range of NLP benchmarks. |
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### Model Information |
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- **Name**: LLaMA 3.2 1B Instruct |
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- **Parameter Size**: 1B (1.23B) |
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- **Model Family**: LLaMA 3.2 |
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- **Architecture**: Auto-regressive Transformer with Grouped-Query Attention (GQA) |
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- **Purpose**: Multilingual dialogue generation, text generation, and summarization. |
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- **Training Data**: A mix of publicly available multilingual data, covering up to 9T tokens. |
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- **Supported Languages**: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. |
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- **Release Date**: September 25, 2024 |
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- **Context Length**: 128k tokens |
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- **Knowledge Cutoff**: December 2023 |
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### Quantized Model Files |
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- **Available Formats**: |
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- **ggml-model-q8_0.gguf**: 8-bit quantization for resource efficiency and good performance. |
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- **ggml-model-f16.gguf**: Half-precision (16-bit) floating-point format for enhanced precision. |
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- **Quantization Library**: llama.cpp |
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- **Use Cases**: Multilingual dialogue, summarization, and text generation. |
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### Core Library |
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LLaMA 3.2 1B Instruct can be deployed using `llama.cpp` or `transformers`, with a focus on streamlined integration into the Hugging Face ecosystem. |
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- **Primary Framework**: `llama.cpp` |
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- **Alternate Frameworks**: |
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- `transformers` for Hugging Face model support. |
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- `vLLM` for optimized inference and low-latency deployments. |
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**Library and Model Links**: |
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- **Model Base**: [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) |
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- **Models**: [meta-llama/llama-stack](https://github.com/meta-llama/llama-stack) |
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- **Inference Support**: [meta-llama/llama](https://github.com/meta-llama/llama) |
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- **Quantization**: [ggerganov/llama.cpp](https://github.com/ggerganov/llama.cpp) |
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### Safety and Responsible Use |
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LLaMA 3.2 1B has been designed with safety in mind but may produce biased, harmful, or unpredictable outputs, especially for less-covered languages or specific prompts. |
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- **Testing and Risk Assessment**: Initial testing has primarily focused on English; coverage for other languages is ongoing. |
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- **Limitations**: LLaMA 3.2 may not fully adhere to user instructions or safety guidelines, and may exhibit unexpected behaviors. |
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- **Responsible Use Guidelines**: Refer to the [Responsible Use Guide](https://ai.meta.com/llama/responsible-use-guide/) for more details. |
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