LongLLaMA
Description
🖼️ Tool Name:
LongLLaMA
🔖 Tool Category:
Programming & Development — specifically, a large language model optimized for handling extremely long text contexts.
✏️ What does this tool offer?
LongLLaMA is a variant of the OpenLLaMA model, refined using the Focused Transformer (FoT) method. This enables it to effectively manage input sequences up to 256,000 tokens, a significant leap over standard models It supports a 3B-parameter base variant under the Apache 2.0 license, with inference code compatible with Hugging Face for seamless integration.
⭐ What does the tool actually deliver based on user experience?
• Capable of processing and generating text across extremely long contexts up to 256k tokens.
• Maintains high performance in tasks like passkey retrieval even on very long inputs.
• Comes with pre-training, instruction-tuning code (with FoT continuing training), and inference examples utilizing PyTorch, JAX/Flax frameworks.
🤖 Does it include automation?
Partially. While LongLLaMA itself is a model rather than a workflow tool, it facilitates automated natural language processing by supporting extended context inference and includes pre-built fine-tuning pipelines.
💰 Pricing Model:
Fully open-source under Apache 2.0 license — no commercial or paid model available.
🆓 Free Plan Details:
• Entirely free for research and commercial use.
• Includes base model weights, FoT pretraining, and instruction-tuning code without restrictions .
💳 Paid Plan Details:
None — no enterprise or premium options exist.
🧭 Access Method:
• Download the model and code from the GitHub repository: CStanKonrad/long_llama .
• Run inference and fine-tuning workflows via Hugging Face APIs or custom scripts in PyTorch/JAX .
🔗 Experience Link: