Jamba 2xMoE by isemmanuelolowe

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Jamba 2xMoE is an open-source language model by isemmanuelolowe. Features: 9b LLM, VRAM: 48.6GB, Context: 256K, LLM Explorer Score: 0.13.

  Arxiv:1910.09700   Endpoints compatible   Jamba   Region:us   Safetensors   Sharded   Tensorflow

Jamba 2xMoE Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Jamba 2xMoE Parameters and Internals

LLM NameJamba 2xMoE
Repository 🤗https://huggingface.co/isemmanuelolowe/Jamba-2xMoE 
Model Size9b
Required VRAM48.6 GB
Updated2026-05-19
Maintainerisemmanuelolowe
Model Typejamba
Model Files  4.9 GB: 1-of-10   4.8 GB: 2-of-10   5.0 GB: 3-of-10   4.8 GB: 4-of-10   4.8 GB: 5-of-10   5.0 GB: 6-of-10   4.8 GB: 7-of-10   4.8 GB: 8-of-10   5.0 GB: 9-of-10   4.7 GB: 10-of-10
Model ArchitectureJambaForCausalLM
Context Length262144
Model Max Length262144
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|pad|>
Vocabulary Size65536
Torch Data Typefloat32

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Rank the Jamba 2xMoE Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a