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Llama 3 Chinese 8B Instruct V3 by destinyzxj

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Llama 3 Chinese 8B Instruct V3 Benchmarks

ARC: 63.4 vs 96.7 (so35)-34.4%
HellaSwag: 80.51 vs 95.3 (gpt4)-15.5%
MMLU: 67.9 vs 88.3 (so35)-23.1%
TruthfulQA: 53.57 vs 59 (gpt4)-9.2%
WinoGrande: 76.24 vs 87.5 (gpt4)-12.9%
GSM8K: 59.21 vs 96.4 (so35)-38.6%
LLME Score: 0.23824
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 Chinese 8B Instruct V3 Parameters and Internals

LLM NameLlama 3 Chinese 8B Instruct V3
Repository 🤗https://huggingface.co/destinyzxj/llama-3-chinese-8b-instruct-v3 
Base Model(s)  Llama3 Chinese 8B Instruct   FlagAlpha/Llama3-Chinese-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2024-10-18
Maintainerdestinyzxj
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   4.7 GB   8.5 GB   16.1 GB
Supported Languageszh en
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 Chinese 8B Instruct V3 (destinyzxj/llama-3-chinese-8b-instruct-v3)

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Note: green Score (e.g. "73.2") means that the model is better than destinyzxj/llama-3-chinese-8b-instruct-v3.

Rank the Llama 3 Chinese 8B Instruct V3 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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