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

Qwen2.5 7B Instruct GPTQ Int4 by Qwen

 »  All LLMs  »  Qwen  »  Qwen2.5 7B Instruct GPTQ Int4   URL Share it on

  254621   

Qwen2.5 7B Instruct GPTQ Int4 is an open-source language model by Qwen. Features: 7b LLM, VRAM: 5.6GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.26.

  Arxiv:2309.00071   Arxiv:2407.10671   4-bit   Autotrain compatible Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-7b-ins...   Chat   Conversational   En   Endpoints compatible   Gptq   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4 

Qwen2.5 7B Instruct GPTQ Int4 Benchmarks

LLME Score: 0.26367
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 7B Instruct GPTQ Int4 (Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4)
🌟 Advertise your project 🚀

Qwen2.5 7B Instruct GPTQ Int4 Parameters and Internals

Model Type 
Causal Language Model
Use Cases 
Areas:
Research, Commercial applications
Supported Languages 
English (Proficient), Chinese (Proficient), French (Proficient), Spanish (Proficient), Portuguese (Proficient), German (Proficient), Italian (Proficient), Russian (Proficient), Japanese (Proficient), Korean (Proficient), Vietnamese (Proficient), Thai (Proficient), Arabic (Proficient)
Training Details 
Methodology:
Pretraining & Post-training
Context Length:
131072
Model Architecture:
Transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
Input Output 
Accepted Modalities:
Text
Output Format:
Text
Performance Tips:
Add `rope_scaling` configuration only when processing long contexts.
LLM NameQwen2.5 7B Instruct GPTQ Int4
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM5.6 GB
Updated2025-10-12
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  4.0 GB: 1-of-2   1.6 GB: 2-of-2
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Qwen2.5 7B Instruct GPTQ Int4

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct GPTQ Int832K / 8.9 GB1581715
....5 Coder 7B Instruct GPTQ Int432K / 5.6 GB23938
....5 Coder 7B Instruct GPTQ Int832K / 8.9 GB15344
Qwen2 7B Instruct GPTQ Int432K / 5.6 GB51229
Qwen2 7B Instruct GPTQ Int832K / 8.9 GB10117
Qwen2.5 7B Instruct 1M 4bit986K / 4.3 GB42210
...B Instruct 1M Unsloth Bnb 4bit986K / 7.5 GB773
Qwen2.5 7B Instruct 1M 8bit986K / 8.1 GB253
Qwen2.5 7B Instruct 1M 6bit986K / 6.2 GB102
Alisia 7B Instruct V1128K / 15.4 GB1142

Rank the Qwen2.5 7B Instruct 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? 51638 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 v20241124
  Support LLM Explorer