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

Qwen1.5 32B Chat GPTQ Int4 by Qwen

 »  All LLMs  »  Qwen  »  Qwen1.5 32B Chat GPTQ Int4   URL Share it on

  2012   
  Arxiv:2309.16609   4-bit   Autotrain compatible   Chat   Conversational   En   Endpoints compatible   Gptq   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen1.5-32B-Chat-GPTQ-Int4 

Qwen1.5 32B Chat GPTQ Int4 Benchmarks

LLME Score: 0.19769
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen1.5 32B Chat GPTQ Int4 (Qwen/Qwen1.5-32B-Chat-GPTQ-Int4)

Qwen1.5 32B Chat GPTQ Int4 Parameters and Internals

Model Type 
transformer-based, decoder-only, language model
Use Cases 
Areas:
Research, Commercial applications
Applications:
Text generation, Chat models
Primary Use Cases:
Introduction to language models
Limitations:
Code switching
Additional Notes 
Users are warned against deploying this model with vLLM temporarily and are instead advised to use the AWQ model.
Supported Languages 
languages_supported (Multilingual), proficiency_levels (Both base and chat models support multiple languages)
Training Details 
Data Volume:
a large amount of data
Methodology:
pretrained with both supervised finetuning and direct preference optimization
Context Length:
32768
Model Architecture:
Transformer architecture with SwiGLU activation, attention QKV bias, group query attention, mixture of sliding window attention and full attention
Input Output 
Input Format:
Expected structure is a list of message dictionaries containing 'role' and 'content'
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Use provided hyperparameters in generation_config.json to avoid issues like code switching
LLM NameQwen1.5 32B Chat GPTQ Int4
Repository 🤗https://huggingface.co/Qwen/Qwen1.5-32B-Chat-GPTQ-Int4 
Model Size32b
Required VRAM19.5 GB
Updated2025-04-14
MaintainerQwen
Model Typeqwen2
Model Files  4.0 GB: 1-of-5   4.0 GB: 2-of-5   4.0 GB: 3-of-5   4.0 GB: 4-of-5   3.5 GB: 5-of-5
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Qwen1.5 32B Chat GPTQ Int4

Best Alternatives
Context / RAM
Downloads
Likes
...5 Coder 32B Instruct GPTQ Int432K / 19.5 GB12693515
Qwen2.5 32B Instruct GPTQ Int432K / 19.5 GB7923134
...5 Coder 32B Instruct GPTQ Int832K / 35.1 GB476320
Qwen2.5 32B Instruct GPTQ Int832K / 35.1 GB704810
QwQ 32B Preview GPTQ 4bit32K / 16.1 GB3063
Qwen Qwen1.5 32B 4 Bit Gptq32K / 19.2 GB50
Qwen1.5 32B Chat GPTQ Int832K / 34.9 GB01
QwQ 32B Unsloth Bnb 4bit128K / 22.5 GB3032943
QwQ 32B 4bit128K / 18.5 GB282435
...k R1 Distill Qwen 32B Bnb 4bit128K / 19.2 GB2322823
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen1.5-32B-Chat-GPTQ-Int4.

Rank the Qwen1.5 32B Chat GPTQ Int4 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? 46267 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.
Release v20241227
  Support LLM Explorer