Mamba-2.8B
Albert Gu & collaborators
• Framework: PyTorchMamba-2.8B is a powerful open-source natural language processing model developed by Albert Gu and collaborators. Built using PyTorch and licensed under Apache 2.0, this model supports a wide range of NLP applications, including text generation, summarization, and understanding, making it suitable for research and production use.
Mamba-2.8B AI Model

Model Performance Statistics
Views
Released
Last Checked
Version
- Long-context Processing
- Efficient Inference
- Parameter Count
- N/A
Dataset Used
The Pile, Books3
Related AI Models
Discover similar AI models that might interest you
GPT-Neo

GPT-Neo
EleutherAI
GPT-Neo is an open-source large language model developed by EleutherAI, designed as an alternative to OpenAI’s GPT-3. It uses the Transformer architecture to generate coherent, human-like text based on a given prompt. GPT-Neo is trained on the Pile dataset, which is a diverse and large-scale text corpus, making it capable of many NLP tasks such as text generation, summarization, translation, and question answering. GPT-Neo models come in different sizes, the most popular being the 1.3B and 2.7B parameter versions.