Llama3 8B Chinese Chat GGUF 4bit by shenzhi-wang

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  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   Q4 0   Quantized   Region:us   Zh

Llama3 8B Chinese Chat GGUF 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 8B Chinese Chat GGUF 4bit (shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-4bit)

Llama3 8B Chinese Chat GGUF 4bit Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
roleplaying, tool-using, math, Chinese-English user assistance
Additional Notes 
Compared to the original Meta-Llama-3-8B-Instruct model, the Llama3-8B-Chinese-Chat model significantly reduces issues of "Chinese questions with English answers."
Supported Languages 
en (proficient), zh (proficient)
Training Details 
Methodology:
{ "[1] Hong, Jiwoo, Noah Lee, and James Thorne. "Reference-free Monolithic Preference Optimization with Odds Ratio." arXiv preprint arXiv:2403.07691 (2024).
Context Length:
8192
Model Architecture:
Based on Meta-Llama-3-8B-Instruct. The model is tuned to reduce the issues of "Chinese questions with English answers" and the mixing of Chinese and English in responses.
Release Notes 
Version:
v2.1
Date:
May 6, 2024
Notes:
- Compared to v1, the training dataset of v2.1 is 5x larger (~100K preference pairs). - Significant enhancements in roleplay, function calling, and math capabilities. - Surpasses v2 in math and is less prone to including English words in Chinese responses.
Version:
v2
Date:
April 29, 2024
Notes:
- Compared to v1, the training dataset of v2 is 5x larger (~100K preference pairs). - Enhancements in roleplay, tool using, and math capabilities.
LLM NameLlama3 8B Chinese Chat GGUF 4bit
Repository ๐Ÿค—https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-4bit 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM4.7 GB
Updated2024-12-26
Maintainershenzhi-wang
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB
Supported Languagesen zh
GGUF QuantizationYes
Quantization Typegguf|q4|q4_0|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/Llama3-8B-Chinese-Chat-GGUF-4bit.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217