LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

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

  6   

Shenzhi Wang Llama3 8B Chinese Chat AWQ 4bit Smashed is an open-source language model by PrunaAI. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, Quantized, LLM Explorer Score: 0.13.

  4-bit   4bit   Awq Base model:quantized:shenzhi-w... Base model:shenzhi-wang/llama3...   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: 0.13171
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)
🌟 Advertise your project 🚀

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
Updated2025-09-23
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

Best Alternatives to Shenzhi Wang Llama3 8B Chinese Chat AWQ 4bit Smashed

Best Alternatives
Context / RAM
Downloads
Likes
...8B Instruct Gradient 1048K AWQ1024K / 5.8 GB70
...radient 1048K AWQ 4bit Smashed1024K / 5.8 GB71
...Instruct 262K AWQ 4bit Smashed256K / 5.8 GB54
...ta Llama 3 8B Instruct 64K AWQ64K / 5.8 GB60
... Instruct 8B 32K V0.1 4bit AWQ64K / 5.8 GB80
Llama 3 8B Instruct AWQ8K / 5.8 GB9619128
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB12675
...eta Llama 3 8B Instruct Hf AWQ8K / 5.8 GB7969
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB60
Hermes 2 Pro Llama 3 8B AWQ8K / 5.8 GB55211
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

🆘 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  

What open-source LLMs or SLMs are you in search of? 52721 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer