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MAmmoTH2 8x7B Plus by TIGER-Lab

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  Merged Model   Arxiv:2405.03548   Autotrain compatible   Conversational Dataset:tiger-lab/webinstructs...   En   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

MAmmoTH2 8x7B Plus Benchmarks

LLME Score: 0.26725
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MAmmoTH2 8x7B Plus Parameters and Internals

LLM NameMAmmoTH2 8x7B Plus
Repository 🤗https://huggingface.co/TIGER-Lab/MAmmoTH2-8x7B-Plus 
Merged ModelYes
Model Size46.7b
Required VRAM93.6 GB
Updated2024-09-08
MaintainerTIGER-Lab
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19   0.0 GB
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
MAmmoTH2 8x7B Plus (TIGER-Lab/MAmmoTH2-8x7B-Plus)

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Note: green Score (e.g. "73.2") means that the model is better than TIGER-Lab/MAmmoTH2-8x7B-Plus.

Rank the MAmmoTH2 8x7B Plus Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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