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Qwen2.5 1.5B by unsloth

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Qwen2.5 1.5B is an open-source language model by unsloth. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.19.

  Arxiv:2407.10671   Ara Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-1.5b   Deu   Endpoints compatible   Eng   Fra   Ita   Jpn   Kor   Por   Qwen2   Region:us   Rus   Safetensors   Spa   Tha   Unsloth   Vie   Zho
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-1.5B 

Qwen2.5 1.5B Benchmarks

LLME Score: 0.19108
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 1.5B (unsloth/Qwen2.5-1.5B)
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Qwen2.5 1.5B Parameters and Internals

LLM NameQwen2.5 1.5B
Repository 🤗https://huggingface.co/unsloth/Qwen2.5-1.5B 
Base Model(s)  Qwen/Qwen2.5-1.5B   Qwen/Qwen2.5-1.5B
Model Size1.5b
Required VRAM3.1 GB
Updated2026-04-15
Maintainerunsloth
Model Typeqwen2
Model Files  3.1 GB
Supported Languagesen
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 1.5B

Best Alternatives
Context / RAM
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ReaderLM V2500K / 3.1 GB14849779
Reader Lm 1.5B250K / 3.1 GB440608
DeepSeek R1 Distill Qwen 1.5B128K / 3.5 GB8307481465
Ko R1 1.5B Preview128K / 7.1 GB169
VibeThinker 1.5B128K / 3.5 GB2025520
Qwen2.5 1.5B128K / 3.1 GB888741150
AceInstruct 1.5B128K / 3.5 GB7688020
Qwen2 1.5B128K / 3.1 GB145789101
OpenReasoning Nemotron 1.5B128K / 3.1 GB1447056
1.5B Cold Start SFT128K / 3.5 GB45030
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-1.5B.

Rank the Qwen2.5 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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