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Jamba 4xMoE Slerp by isemmanuelolowe

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  Autotrain compatible   Custom code   Endpoints compatible   Jamba   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/isemmanuelolowe/Jamba-4xMoE_Slerp 

Jamba 4xMoE Slerp Benchmarks

LLME Score: 0.17514
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jamba 4xMoE Slerp (isemmanuelolowe/Jamba-4xMoE_Slerp)

Jamba 4xMoE Slerp Parameters and Internals

Model Type 
Causal Language Model
Additional Notes 
This model is based on merging experts and uses a specialized quantization configuration for 4-bit inference.
Input Output 
Accepted Modalities:
text
LLM NameJamba 4xMoE Slerp
Repository 🤗https://huggingface.co/isemmanuelolowe/Jamba-4xMoE_Slerp 
Model Size17.7b
Required VRAM70.9 GB
Updated2025-02-22
Maintainerisemmanuelolowe
Model Typejamba
Model Files  5.0 GB: 1-of-15   4.9 GB: 2-of-15   4.9 GB: 3-of-15   4.9 GB: 4-of-15   5.0 GB: 5-of-15   4.8 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   4.8 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   4.9 GB: 12-of-15   5.0 GB: 13-of-15   4.8 GB: 14-of-15   2.7 GB: 15-of-15
Model ArchitectureJambaForCausalLM
Licensemit
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|pad|>
Vocabulary Size65536
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than isemmanuelolowe/Jamba-4xMoE_Slerp.

Rank the Jamba 4xMoE Slerp Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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