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Blitz AI MoE V0.7 by DenisTheDev

 »  All LLMs  »  DenisTheDev  »  Blitz AI MoE V0.7   URL Share it on

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Blitz AI MoE V0.7 Benchmarks

ARC: 67.15 vs 96.7 (so35)-30.6%
HellaSwag: 85.59 vs 95.3 (gpt4)-10.2%
MMLU: 64.04 vs 88.3 (so35)-27.5%
TruthfulQA: 55.56 vs 59 (gpt4)-5.8%
WinoGrande: 79.08 vs 87.5 (gpt4)-9.6%
GSM8K: 53.07 vs 96.4 (so35)-44.9%
LLME Score: 0.22219
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Blitz AI MoE V0.7 Parameters and Internals

LLM NameBlitz AI MoE V0.7
Repository 🤗https://huggingface.co/DenisTheDev/Blitz-AI-MOE-v0.7 
Model Size18.5b
Required VRAM37.1 GB
Updated2024-09-07
MaintainerDenisTheDev
Model Typemixtral
Model Files  1.9 GB: 1-of-19   2.0 GB: 2-of-19   2.0 GB: 3-of-19   2.0 GB: 4-of-19   2.0 GB: 5-of-19   2.0 GB: 6-of-19   2.0 GB: 7-of-19   2.0 GB: 8-of-19   2.0 GB: 9-of-19   2.0 GB: 10-of-19   2.0 GB: 11-of-19   2.0 GB: 12-of-19   2.0 GB: 13-of-19   2.0 GB: 14-of-19   2.0 GB: 15-of-19   2.0 GB: 16-of-19   2.0 GB: 17-of-19   2.0 GB: 18-of-19   1.2 GB: 19-of-19
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.1
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16
Blitz AI MoE V0.7 (DenisTheDev/Blitz-AI-MOE-v0.7)

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Note: green Score (e.g. "73.2") means that the model is better than DenisTheDev/Blitz-AI-MOE-v0.7.

Rank the Blitz AI MoE V0.7 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v2024072803
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