LLaMA 3.2 1B Instruct
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.
Model Information
- Name: LLaMA 3.2 1B Instruct
- Parameter Size: 1B (1.23B)
- Model Family: LLaMA 3.2
- Architecture: Auto-regressive Transformer with Grouped-Query Attention (GQA)
- Purpose: Multilingual dialogue generation, text generation, and summarization.
- Training Data: A mix of publicly available multilingual data, covering up to 9T tokens.
- Supported Languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.
- Release Date: September 25, 2024
- Context Length: 128k tokens
- Knowledge Cutoff: December 2023
Quantized Model Files
- Available Formats:
- ggml-model-q8_0.gguf: 8-bit quantization for resource efficiency and good performance.
- ggml-model-f16.gguf: Half-precision (16-bit) floating-point format for enhanced precision.
- Quantization Library: llama.cpp
- Use Cases: Multilingual dialogue, summarization, and text generation.
Core Library
LLaMA 3.2 1B Instruct can be deployed using llama.cpp
or transformers
, with a focus on streamlined integration into the Hugging Face ecosystem.
- Primary Framework:
llama.cpp
- Alternate Frameworks:
transformers
for Hugging Face model support.vLLM
for optimized inference and low-latency deployments.
Library and Model Links:
- Model Base: meta-llama/Llama-3.2-1B-Instruct
- Models: meta-llama/llama-stack
- Inference Support: meta-llama/llama
- Quantization: ggerganov/llama.cpp
Safety and Responsible Use
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.
- Testing and Risk Assessment: Initial testing has primarily focused on English; coverage for other languages is ongoing.
- Limitations: LLaMA 3.2 may not fully adhere to user instructions or safety guidelines, and may exhibit unexpected behaviors.
- Responsible Use Guidelines: Refer to the Responsible Use Guide for more details.
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meta-llama/Llama-3.2-1B-Instruct