🟢 What's the secret in architecture?
- a combination of Transformer attention and Mamba state-space layers.
- The Mamba part efficiently processes long sequences without heavy attention caches,
- while the Transformer layers maintain the ability for complex reasoning.
As a result, the model uses less memory, delivers high speed, and runs smoothly even on laptops, GPUs, and mobile devices.
🟠 Features?
- Context: up to 256K tokens.
- Speed: about 40 tokens/sec even on long contexts, while other models slow down sharply.
Higher efficiency compared to AI21 - 2–5× performance improvement over competitors thanks to a smaller KV cache, hybrid architecture.
On "intelligence versus speed" graph, Jamba 3B surpasses Gemma 3 4B, Llama 3.2 3B, and Granite 4.0 Micro.
Truly superior intelligence and faster generation on Hugging face
#LLM #Jamba3B #AI21 #DeepLearning
🤖 Data Science, ML & Big Data with @DataXplore