Llama3.1 405B - Details

Llama3.1 405B, developed by Meta Llama, is a large language model with 405B parameters. It operates under the Llama 31 Community License Agreement (LLAMA-31-CCLA) and is designed for advanced multilingual capabilities, extended context length, and superior tool use.

Llama3.1 405B, developed by Meta Llama, is part of the Meta Llama 3.1 collection of multilingual large language models (LLMs) that includes 8B, 70B, and 405B parameter sizes. These models are optimized for multilingual dialogue and outperform many open-source and closed chat models on industry benchmarks. Trained on 15T+ tokens up to December 2023, they support extended context lengths of 128k and 8 languages with code integration. The models use an optimized transformer architecture with SFT (supervised fine-tuning) and RLHF (reinforcement learning with human feedback) for alignment. They operate under the Llama 31 Community License Agreement (LLAMA-31-CCLA) and are designed for advanced multilingual capabilities, extended context length, and superior tool use.

Llama3.1 405B features 405B parameters, placing it in the very large models category, which excel at complex tasks but demand significant computational resources. Its 128k context length enables handling extremely long texts, though this requires substantial memory and processing power. The model’s scale and extended context make it ideal for intricate, multi-step reasoning and extensive document analysis, but users must balance performance needs against resource constraints.

• Parameter Size: 405B
• Context Length: 128k

Llama3.1 405B is a multilingual large language model with 405B parameters, designed for commercial and research use in multiple languages. Its 128k context length and support for German, English, Spanish, Portuguese, Hindi, French, Thai, and Italian make it a possible tool for tasks like assistant-like chat, natural language generation, synthetic data creation, and model distillation. While its scale and multilingual capabilities suggest potential applications in complex reasoning or cross-language tasks, these uses require thorough evaluation to ensure alignment with specific needs. The model’s design also opens possible opportunities for research into efficient training methods or language-specific optimizations, though further exploration is necessary.

• commercial and research use in multiple languages
• assistant-like chat
• natural language generation tasks
• synthetic data generation
• model distillation

Llama3.1 405B is a multilingual large language model with 405B parameters and a 128k context length, making it a possible candidate for tasks requiring extensive language understanding and generation. Possible applications include assistant-like chat systems for customer service or general inquiry, natural language generation for content creation across multiple languages, synthetic data generation to support research or training, and model distillation for optimizing smaller models. These uses are possible due to the model’s scale and multilingual support, but each requires thorough evaluation to ensure alignment with specific goals. The model’s capabilities suggest potential in scenarios demanding high flexibility, but further testing is essential before deployment.

• assistant-like chat
• natural language generation tasks
• synthetic data generation
• model distillation

Llama3.1 405B with the q4 quantization offers a good balance between precision and performance, requiring hardware capable of handling large-scale models. For the medium q4 version, a system with at least 24GB VRAM and a multi-core CPU is likely necessary, though exact requirements depend on the model’s deployment and workload. This version reduces memory usage compared to higher-precision formats like fp16, making it more accessible for certain applications. However, thorough testing is essential to confirm compatibility with specific hardware configurations.

• fp16, q2, q3, q4, q5, q6, q8

Llama3.1 405B is a large language model with 405B parameters and a 128k context length, designed for multilingual tasks across 8 languages with support for code. It operates under the Llama 31 Community License Agreement (LLAMA-31-CCLA) and is intended for commercial and research use, though its deployment requires careful evaluation for specific applications.

Huggingface Model Page
Ollama Model Page