Llama-3-70B-Instruct-Gradient-262k
| Property | Value |
|---|---|
| Parameter Count | 70.6B |
| Context Length | 262k tokens |
| License | Llama3 |
| Training Tokens | 105M tokens (extension training) |
What is Llama-3-70B-Instruct-Gradient-262k?
This model is an enhanced version of Meta's Llama-3 70B that extends the context window from 8k to over 262k tokens. Developed by Gradient AI and powered by Crusoe Energy's computing infrastructure, it represents a significant advancement in long-context language models while requiring minimal additional training.
Implementation Details
The model employs NTK-aware interpolation following specific scaling laws to optimize the RoPE theta parameter. The training process involved progressive context length increases, utilizing the EasyContext Blockwise RingAttention library for efficient long-context training.
- Base model: Meta-Llama-3-70B-Instruct
- Training data: Augmented SlimPajama and UltraChat datasets
- Training infrastructure: 512 NVIDIA L40S GPUs
- Progressive training stages: 65K → 262K context lengths
Core Capabilities
- Extended context processing up to 262K tokens
- Maintains base model's instruction-following abilities
- Efficient processing of long-form content
- Improved memory retention across long contexts
Frequently Asked Questions
Q: What makes this model unique?
This model achieves dramatic context extension (32x) with minimal additional training (< 0.002% of original pretraining data), demonstrating efficient adaptation of large language models to longer contexts.
Q: What are the recommended use cases?
The model is ideal for tasks requiring long-context understanding such as document analysis, extended conversations, and complex multi-step reasoning across long texts.
