Llama3 Gradient 70B Instruct - Details

Llama3 Gradient 70B Instruct is a large language model developed by Meta Llama, featuring 70b parameters. It operates under the Meta Llama 3 Community License Agreement (META-LLAMA-3-CCLA) and is designed for instruction-following tasks. The model excels in handling extended context lengths, supporting up to 1 million tokens, making it suitable for complex and lengthy input scenarios.

Meta Llama 3 is a family of large language models developed by Meta, featuring 8B and 70B parameter versions. The instruction-tuned models are optimized for dialogue use cases and outperform many open-source chat models on industry benchmarks. They utilize an optimized transformer architecture with Grouped-Query Attention (GQA) for improved inference scalability. Training data includes over 15 trillion tokens of publicly available online content, with knowledge cutoffs in March 2023 for the 8B version and December 2023 for the 70B version. The models are licensed under the Meta Llama 3 Community License Agreement (META-LLAMA-3-CCLA) and are intended for commercial and research use in English. Safety measures include supervised fine-tuning and reinforcement learning with human feedback to ensure responsible deployment.

Llama3 Gradient 70B Instruct is a large language model with 70b parameters, placing it in the large model category that excels at complex tasks but requires substantial computational resources. Its 8k token context length falls into the moderate range, enabling it to handle longer texts effectively while still being limited compared to models with extended context capabilities. This combination makes it suitable for intricate tasks where depth and detail are crucial, though it may not be optimal for extremely lengthy documents.

• Parameter Size: 70b
• Context Length: 8k

Llama3 Gradient 70B Instruct is a large language model designed for tasks requiring advanced reasoning and dialogue capabilities, with 70b parameters and an 8k token context length. Its possible uses include supporting commercial applications such as customer service automation, content generation, or data analysis, where its scale and context handling could provide value. In research use, it might aid in exploring language patterns, model behavior, or specialized domain tasks, though its performance would depend on specific configurations and training. For assistant-like chat scenarios, it could serve as a conversational tool for general inquiries or task assistance, but its effectiveness would require testing against real-world interactions. These possible uses are not guaranteed and would need careful evaluation to ensure alignment with specific goals and constraints.

• commercial use
• research use
• assistant-like chat

Llama3 Gradient 70B Instruct is a large language model with 70b parameters and an 8k token context length, making it a possible tool for tasks requiring deep reasoning and extended context. Possible applications include generating complex creative content, such as writing or coding, where its scale and context handling could enhance output quality. It might also serve as a possible assistant for technical documentation or research tasks, leveraging its ability to process detailed information. Possible uses in educational settings could involve interactive learning tools or language practice, though its effectiveness would depend on specific configurations. Additionally, it could support possible explorations in natural language understanding for non-critical tasks, such as analyzing trends or summarizing data. Each of these possible applications requires thorough evaluation and testing to ensure alignment with specific needs and constraints.

• possible applications in creative content generation
• possible uses as an assistant for technical documentation
• possible explorations in educational tools
• possible support for natural language understanding tasks

Llama3 Gradient 70B Instruct with the q4 quantized version offers a possible balance between precision and performance, requiring hardware capable of handling large models. For a 70b parameter model, the q4 version would likely need multiple GPUs with at least 48GB VRAM to run efficiently, depending on the specific implementation and workload. This makes it suitable for users with high-end hardware who prioritize speed over full precision.

• fp16
• q2
• q3
• q4
• q5
• q6
• q8

Llama3 Gradient 70B Instruct is a large language model with 70b parameters and an 8k token context length, optimized for complex tasks and dialogue scenarios. It is designed for commercial and research use, operating under the Meta Llama 3 Community License Agreement (META-LLAMA-3-CCLA), and is suitable for applications requiring advanced reasoning and extended context handling.

Huggingface Model Page
Ollama Model Page