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Llama3 70B Chinese Chat by shenzhi-wang

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Llama3 70B Chinese Chat is an open-source language model by shenzhi-wang. Features: 70b LLM, VRAM: 141.9GB, Context: 8K, License: llama3, Instruction-Based, HF Score: 77.3, LLM Explorer Score: 0.15, Arc: 70.4, HellaSwag: 85.8, MMLU: 79.7, TruthfulQA: 61.1, WinoGrande: 83.7, GSM8K: 83.2.

  Arxiv:2306.09212   Arxiv:2403.07691 Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational   Deploy:azure   Doi:10.57967/hf/2315   En   Endpoints compatible   Instruct   Llama   Llama-factory   Orpo   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/shenzhi-wang/Llama3-70B-Chinese-Chat 

Llama3 70B Chinese Chat Benchmarks

ARC: 70.39 vs 96.7 (so35)-27.2%
HellaSwag: 85.81 vs 95.3 (gpt4)-10%
MMLU: 79.74 vs 88.3 (so35)-9.7%
TruthfulQA: 61.1 vs 59 (gpt4)3.6%
WinoGrande: 83.74 vs 87.5 (gpt4)-4.3%
GSM8K: 83.24 vs 96.4 (so35)-13.7%
LLME Score: 0.14639
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 70B Chinese Chat (shenzhi-wang/Llama3-70B-Chinese-Chat)
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Llama3 70B Chinese Chat Parameters and Internals

Model Type 
text-generation
Additional Notes 
For optimal performance, the model's identity is not fine-tuned, and queries regarding its developer or identity may yield inaccurate responses.
Supported Languages 
en (fluent), zh (fluent)
Training Details 
Data Volume:
100K preference pairs
Methodology:
ORPO
Context Length:
8192
Release Notes 
Version:
Llama3-70B-Chinese-Chat
Date:
2024-05-09
Notes:
Full-parameter fine-tuned on a mixed Chinese-English dataset of ~100K preference pairs, its Chinese performance surpasses ChatGPT and matches GPT-4.
LLM NameLlama3 70B Chinese Chat
Repository 🤗https://huggingface.co/shenzhi-wang/Llama3-70B-Chinese-Chat 
Base Model(s)  Meta Llama 3 70B Instruct   meta-llama/Meta-Llama-3-70B-Instruct
Model Size70b
Required VRAM141.9 GB
Updated2026-04-04
Maintainershenzhi-wang
Model Typellama
Instruction-BasedYes
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Supported Languagesen zh
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Llama3 70B Chinese Chat

Model
Likes
Downloads
VRAM
...lama3 70B Chinese Chat AWQ 32K3339 GB

Best Alternatives to Llama3 70B Chinese Chat

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Context / RAM
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... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB90695
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...a 3 70B Instruct Gradient 524K512K / 141.9 GB1023
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...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB130
...ama 3 70B Arimas Story RP V1.5256K / 141.2 GB93
Llama 3.1 70B Instruct128K / 141.9 GB1008029904
Note: green Score (e.g. "73.2") means that the model is better than shenzhi-wang/Llama3-70B-Chinese-Chat.

Rank the Llama3 70B Chinese Chat 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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