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Shenzhi Wang Llama3 8B Chinese Chat AWQ 4bit Smashed by PrunaAI

 »  All LLMs  »  PrunaAI  »  Shenzhi Wang Llama3 8B Chinese Chat AWQ 4bit Smashed   URL Share it on

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  4-bit   4bit   Autotrain compatible   Awq Base model:quantized:shenzhi-w... Base model:shenzhi-wang/llama3...   Conversational   Endpoints compatible   Llama   Pruna-ai   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/PrunaAI/shenzhi-wang-Llama3-8B-Chinese-Chat-AWQ-4bit-smashed 

Shenzhi Wang Llama3 8B Chinese Chat AWQ 4bit Smashed Benchmarks

LLME Score: 0.1846
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Shenzhi Wang Llama3 8B Chinese Chat AWQ 4bit Smashed (PrunaAI/shenzhi-wang-Llama3-8B-Chinese-Chat-AWQ-4bit-smashed)

Shenzhi Wang Llama3 8B Chinese Chat AWQ 4bit Smashed Parameters and Internals

Model Type 
text generation
Use Cases 
Limitations:
Efficiency results may vary in other settings (e.g. other hardware, image size, batch size, ...). We recommend to directly run them in the use-case conditions to know if the smashed model can benefit you.
Input Output 
Accepted Modalities:
text
Performance Tips:
To test efficiency gains, evaluate model performance directly in the desired use-case scenario. Consider running the model across different batch sizes or hardware to assess performance variations.
LLM NameShenzhi Wang Llama3 8B Chinese Chat AWQ 4bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/shenzhi-wang-Llama3-8B-Chinese-Chat-AWQ-4bit-smashed 
Base Model(s)  Llama3 8B Chinese Chat   shenzhi-wang/Llama3-8B-Chinese-Chat
Model Size8b
Required VRAM5.8 GB
Updated2025-01-28
MaintainerPrunaAI
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/shenzhi-wang-Llama3-8B-Chinese-Chat-AWQ-4bit-smashed.

Rank the Shenzhi Wang Llama3 8B Chinese Chat AWQ 4bit Smashed 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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