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Llama3 70B Chinese Chat GGUF 4bit by shenzhi-wang

 »  All LLMs  »  shenzhi-wang  »  Llama3 70B Chinese Chat GGUF 4bit   URL Share it on

  932   
  Arxiv:2306.09212   Arxiv:2403.07691   4bit   Autotrain compatible Base model:meta-llama/meta-lla... Base model:quantized:meta-llam...   Conversational   En   Endpoints compatible   Gguf   Instruct   Llama   Llama-factory   Orpo   Q4   Quantized   Region:us   Zh
Model Card on HF 🤗: https://huggingface.co/shenzhi-wang/Llama3-70B-Chinese-Chat-GGUF-4bit 

Llama3 70B Chinese Chat GGUF 4bit Benchmarks

LLME Score: 0.22432
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 GGUF 4bit (shenzhi-wang/Llama3-70B-Chinese-Chat-GGUF-4bit)

Llama3 70B Chinese Chat GGUF 4bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is not fine-tuned for identity-related queries to enhance performance.
Supported Languages 
en (high proficiency), zh (superior proficiency)
Training Details 
Data Volume:
over 100K preference pairs
Methodology:
Instruction tuning with ORPO
Context Length:
8192
Release Notes 
Date:
May 9, 2024
Notes:
Introduction of Llama3-70B-Chinese-Chat, fine-tuned on a mixed Chinese-English dataset of ~100K preference pairs.
LLM NameLlama3 70B Chinese Chat GGUF 4bit
Repository 🤗https://huggingface.co/shenzhi-wang/Llama3-70B-Chinese-Chat-GGUF-4bit 
Base Model(s)  Meta Llama 3 70B Instruct   meta-llama/Meta-Llama-3-70B-Instruct
Model Size70b
Required VRAM40 GB
Updated2024-12-22
Maintainershenzhi-wang
Model Typellama
Instruction-BasedYes
Model Files  40.0 GB
Supported Languagesen zh
GGUF QuantizationYes
Quantization Typegguf|q4|4bit
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than shenzhi-wang/Llama3-70B-Chinese-Chat-GGUF-4bit.

Rank the Llama3 70B Chinese Chat GGUF 4bit Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241217
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