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Yi 34B 200K AEZAKMI RAW 1701 by adamo1139

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Yi 34B 200K AEZAKMI RAW 1701 Benchmarks

ARC: 66.81 vs 96.7 (so35)-30.9%
HellaSwag: 85.79 vs 95.3 (gpt4)-10%
MMLU: 75.44 vs 88.3 (so35)-14.6%
TruthfulQA: 57.91 vs 59 (gpt4)-1.8%
WinoGrande: 80.35 vs 87.5 (gpt4)-8.2%
GSM8K: 59.97 vs 96.4 (so35)-37.8%
LLME Score: 0.2139
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Yi 34B 200K AEZAKMI RAW 1701 Parameters and Internals

LLM NameYi 34B 200K AEZAKMI RAW 1701
Repository 🤗https://huggingface.co/adamo1139/Yi-34B-200K-AEZAKMI-RAW-1701 
Model Size34b
Required VRAM69.2 GB
Updated2024-09-16
Maintaineradamo1139
Model Typellama
Model Files  4.8 GB: 1-of-15   4.8 GB: 2-of-15   5.0 GB: 3-of-15   4.8 GB: 4-of-15   4.8 GB: 5-of-15   5.0 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   5.0 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.8 GB: 13-of-15   4.8 GB: 14-of-15   1.2 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16
Yi 34B 200K AEZAKMI RAW 1701 (adamo1139/Yi-34B-200K-AEZAKMI-RAW-1701)

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Note: green Score (e.g. "73.2") means that the model is better than adamo1139/Yi-34B-200K-AEZAKMI-RAW-1701.

Rank the Yi 34B 200K AEZAKMI RAW 1701 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 v2024072803
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