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

Qwen2.5 Math 7B Instruct Bnb 4bit by unsloth

 »  All LLMs  »  unsloth  »  Qwen2.5 Math 7B Instruct Bnb 4bit   URL Share it on

  1800   

Qwen2.5 Math 7B Instruct Bnb 4bit is an open-source language model by unsloth. Features: 7b LLM, VRAM: 5.5GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

  Arxiv:2409.12122   4-bit   4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-math-7...   Bitsandbytes   Conversational   Deploy:azure   En   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-Math-7B-Instruct-bnb-4bit 

Qwen2.5 Math 7B Instruct Bnb 4bit Benchmarks

LLME Score: 0.17797
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Math 7B Instruct Bnb 4bit (unsloth/Qwen2.5-Math-7B-Instruct-bnb-4bit)
🌟 Advertise your project 🚀

Qwen2.5 Math 7B Instruct Bnb 4bit Parameters and Internals

Model Type 
Instruction-tuned, Mathematical, Chat Model
Use Cases 
Areas:
Research, Educational Tools
Primary Use Cases:
Solving mathematical problems in English and Chinese using CoT and TIR
Limitations:
Not recommended for tasks outside mathematical problem-solving
Additional Notes 
The model can be fine-tuned and optimized using Unsloth techniques which reduce memory usage by up to 70%.
Supported Languages 
English (proficient), Chinese (proficient)
Input Output 
Input Format:
Messages in JSON format with roles: system and user
Accepted Modalities:
Text
Output Format:
Text response
LLM NameQwen2.5 Math 7B Instruct Bnb 4bit
Repository 🤗https://huggingface.co/unsloth/Qwen2.5-Math-7B-Instruct-bnb-4bit 
Base Model(s)  Qwen/Qwen2.5-Math-7B-Instruct   Qwen/Qwen2.5-Math-7B-Instruct
Model Size7b
Required VRAM5.5 GB
Updated2026-03-29
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  5.5 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2.5 Math 7B Instruct Bnb 4bit

Model
Likes
Downloads
VRAM
...wen Math 7b 24 1 100 1 Nonmath02215 GB
...hemeng Qwen Math 7b 24 1 100 102115 GB

Best Alternatives to Qwen2.5 Math 7B Instruct Bnb 4bit

Best Alternatives
Context / RAM
Downloads
Likes
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 GB403
Qwen2.5 7B Instruct 1M 6bit986K / 6.2 GB102
Alisia 7B Instruct V1128K / 15.4 GB1142
...5 7B Instruct SFT Meme LoRA V7128K / 15.2 GB60
Gte Qwen2 7B Instruct 4bit DWQ128K / 4.3 GB1043
Distill Qw Test32K / 15.2 GB50
Zirel 7B Math32K / 15.2 GB220
Mini QwQ32K / 15.2 GB391
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-Math-7B-Instruct-bnb-4bit.

Rank the Qwen2.5 Math 7B Instruct Bnb 4bit 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