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 0.5B Instruct Bnb 4bit by unsloth

 »  All LLMs  »  unsloth  »  Qwen2.5 0.5B Instruct Bnb 4bit   URL Share it on

  2702   
  Arxiv:2407.10671   4-bit   4bit   Autotrain compatible Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-0.5b-i...   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-0.5B-Instruct-bnb-4bit 

Qwen2.5 0.5B Instruct Bnb 4bit Benchmarks

LLME Score: 0.20443
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 0.5B Instruct Bnb 4bit (unsloth/Qwen2.5-0.5B-Instruct-bnb-4bit)
🌟 Advertise your project 🚀

Qwen2.5 0.5B Instruct Bnb 4bit Parameters and Internals

Model Type 
Causal Language Models
Additional Notes 
Significant improvements in knowledge, coding, mathematics, and instruction following abilities. Multilingual support for more than 29 languages. Long-context support up to 128K tokens, generating up to 8K tokens. Robust against diverse system prompts, enhancing chatbot capabilities.
Supported Languages 
English (Fluent), Chinese (Fluent), French (Fluent), Spanish (Fluent), Portuguese (Fluent), German (Fluent), Italian (Fluent), Russian (Fluent), Japanese (Fluent), Korean (Fluent), Vietnamese (Fluent), Thai (Fluent), Arabic (Fluent)
Training Details 
Context Length:
32768
Model Architecture:
Transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
Input Output 
Input Format:
Structured input using predefined roles in JSON format
Accepted Modalities:
text
Output Format:
JSON
LLM NameQwen2.5 0.5B Instruct Bnb 4bit
Repository 🤗https://huggingface.co/unsloth/Qwen2.5-0.5B-Instruct-bnb-4bit 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM0.5 GB
Updated2025-09-23
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  0.5 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.49.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2.5 0.5B Instruct Bnb 4bit

Best Alternatives
Context / RAM
Downloads
Likes
...0.5B Instruct Unsloth Bnb 4bit32K / 0.5 GB215514
TinySphinx32K / 1 GB340
...edCore Qwen2.5 0.5B 16bit Mini32K / 1 GB1650
...5 Coder 0.5B Instruct Bnb 4bit32K / 0.5 GB23563
... Instruct Unsloth Merged 16bit32K / 1.3 GB102
... Instruct Unsloth Merged 16bit32K / 1.3 GB32
... Instruct Unsloth Merged 16bit32K / 1.3 GB31
... Instruct Unsloth Merged 16bit32K / 1.3 GB21
Qwen2.5 0.5B Instruct 4bit32K / 0.3 GB34064
...en2.5 Coder 0.5B Instruct 4bit32K / 0.3 GB11114
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-0.5B-Instruct-bnb-4bit.

Rank the Qwen2.5 0.5B 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? 51545 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 v20241124
  Support LLM Explorer