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DMoE 8B Finetune All V6 Epoch2 V0.1 by geniacllm

 »  All LLMs  »  geniacllm  »  DMoE 8B Finetune All V6 Epoch2 V0.1   URL Share it on

  5   
  Arxiv:1910.09700   Autotrain compatible   En   Endpoints compatible   Finetuned   Ja   Mixtral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/geniacllm/dMoE_8B_finetune_all_v6_epoch2_v0.1 

DMoE 8B Finetune All V6 Epoch2 V0.1 Benchmarks

LLME Score: 0.19109
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DMoE 8B Finetune All V6 Epoch2 V0.1 (geniacllm/dMoE_8B_finetune_all_v6_epoch2_v0.1)

DMoE 8B Finetune All V6 Epoch2 V0.1 Parameters and Internals

LLM NameDMoE 8B Finetune All V6 Epoch2 V0.1
Repository 🤗https://huggingface.co/geniacllm/dMoE_8B_finetune_all_v6_epoch2_v0.1 
Model Size8b
Required VRAM18 GB
Updated2025-02-05
Maintainergeniacllm
Model Typemixtral
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.0 GB: 4-of-4
Supported Languagesja en
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size56320
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than geniacllm/dMoE_8B_finetune_all_v6_epoch2_v0.1.

Rank the DMoE 8B Finetune All V6 Epoch2 V0.1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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