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Yi 34B V2 by mncai

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Yi 34B V2 is an open-source language model by mncai. Features: 34b LLM, VRAM: 68.9GB, Context: 8K, License: apache-2.0, HF Score: 72.1, LLM Explorer Score: 0.13, Arc: 66.1, HellaSwag: 85, MMLU: 75.6, TruthfulQA: 57.3, WinoGrande: 83.7, GSM8K: 65.

  Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mncai/yi-34B-v2 

Yi 34B V2 Benchmarks

ARC: 66.13 vs 96.7 (so35)-31.6%
HellaSwag: 85 vs 95.3 (gpt4)-10.8%
MMLU: 75.64 vs 88.3 (so35)-14.3%
TruthfulQA: 57.34 vs 59 (gpt4)-2.8%
WinoGrande: 83.66 vs 87.5 (gpt4)-4.4%
GSM8K: 64.97 vs 96.4 (so35)-32.6%
LLME Score: 0.12541
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 34B V2 (mncai/yi-34B-v2)
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Yi 34B V2 Parameters and Internals

Model Type 
instruction tuned
LLM NameYi 34B V2
Repository 🤗https://huggingface.co/mncai/yi-34B-v2 
Model Size34b
Required VRAM68.9 GB
Updated2026-04-05
Maintainermncai
Model Typellama
Model Files  9.8 GB: 1-of-8   9.8 GB: 2-of-8   9.8 GB: 3-of-8   9.8 GB: 4-of-8   9.8 GB: 5-of-8   9.8 GB: 6-of-8   9.8 GB: 7-of-8   0.3 GB: 8-of-8
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mncai/yi-34B-v2.

Rank the Yi 34B V2 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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