InternLM vs LongLLaMA
Overview
🔥 Trending in Text & Language Models on StackShare
Detailed Comparison
It is an open-source project that has released a 7 billion parameter base model, a chat model tailored for practical scenarios, and a training system. | It is a large language model capable of handling long contexts of 256k tokens or even more. It is built upon the foundation of OpenLLaMA and fine-tuned using the Focused Transformer (FoT) method. |
Leverages trillions of high-quality tokens for training to establish a powerful knowledge base;
Supports an 8k context window length, enabling longer input sequences and stronger reasoning capabilities;
Provides a versatile toolset for users to flexibly build their own workflows | Capable of handling long contexts;
Based on OpenLLaMA and fine-tuned with the Focused Transformer (FoT) |
Statistics | |
GitHub Stars 7.1K | GitHub Stars 1.5K |
GitHub Forks 498 | GitHub Forks 85 |
Stacks 1 | Stacks 0 |
Followers 1 | Followers 1 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to InternLM, LongLLaMA?
Grok-1
It is the base model weights and network architecture of Grok-1, the large language model. Grok-1 is a 314 billion parameter Mixture-of-Experts model trained from scratch by xAI.
Google Gemini
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LLaMA
It is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI.
Whisper
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Grok 4
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OpenAI
Creating safe artificial general intelligence that benefits all of humanity. Our work to create safe and beneficial AI requires a deep understanding of the potential risks and benefits, as well as careful consideration of the impact.
Claude
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GPT-4 by OpenAI
It is a large multimodal model (accepting text inputs and emitting text outputs today, with image inputs coming in the future) that can solve difficult problems with greater accuracy than any of our previous models, thanks to its broader general knowledge and advanced reasoning capabilities.
Cohere.com
It offers an API to add cutting-edge language processing to any system. Through training, users can create massive models customized to their use case and trained on their data.
Mistral 7B
It is a small, yet powerful model adaptable to many use cases. It is better than Llama 2 13B on all benchmarks, has natural coding abilities, and 8k sequence length. We made it easy to deploy on any cloud.
