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Qwen2 1.5B by unsloth

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Qwen2 1.5B is an open-source language model by unsloth. Features: 1.5b LLM, VRAM: 3.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.14.

  Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2-1.5B 

Qwen2 1.5B Benchmarks

LLME Score: 0.14029
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 1.5B (unsloth/Qwen2-1.5B)
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Qwen2 1.5B Parameters and Internals

Model Type 
transformers
Additional Notes 
The model can be fine-tuned using Google Colab with Tesla T4 for different versions like Qwen2 7b, Qwen2 0.5b, and Qwen2 1.5b. This finetuning can be done faster and with less memory usage using Unsloth.
LLM NameQwen2 1.5B
Repository 🤗https://huggingface.co/unsloth/Qwen2-1.5B 
Model Size1.5b
Required VRAM3.1 GB
Updated2026-03-29
Maintainerunsloth
Model Typeqwen2
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2 1.5B

Best Alternatives
Context / RAM
Downloads
Likes
ReaderLM V2500K / 3.1 GB18207775
Reader Lm 1.5B250K / 3.1 GB456608
DeepSeek R1 Distill Qwen 1.5B128K / 3.5 GB8307481465
VibeThinker 1.5B128K / 3.5 GB1432516
Ko R1 1.5B Preview128K / 7.1 GB659
Qwen2.5 1.5B128K / 3.1 GB888741150
AceInstruct 1.5B128K / 3.5 GB7688020
DeepScaleR 1.5B Preview128K / 7.1 GB11774573
Qwen2 1.5B128K / 3.1 GB146613101
...n Research Reasoning Qwen 1.5B128K / 7.1 GB5716221
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2-1.5B.

Rank the Qwen2 1.5B 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  

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