Qwen2.5 1.5B by Qwen

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  Arxiv:2407.10671   Autotrain compatible   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/Qwen/Qwen2.5-1.5B 

Qwen2.5 1.5B Benchmarks

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 (Qwen/Qwen2.5-1.5B)
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Qwen2.5 1.5B Parameters and Internals

Model Type 
causal language model
Use Cases 
Limitations:
Not recommended for conversations without post-training
Additional Notes 
The base 0.5B Qwen2.5 model requires post-training for certain use cases such as conversations.
Supported Languages 
en (Proficient), zh (Proficient), fr (Proficient), es (Proficient), pt (Proficient), de (Proficient), it (Proficient), ru (Proficient), ja (Proficient), ko (Proficient), vi (Proficient), th (Proficient), ar (Proficient)
Training Details 
Methodology:
Pretraining
Context Length:
32768
Model Architecture:
Transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
LLM NameQwen2.5 1.5B
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen2.5-1.5B 
Model Size1.5b
Required VRAM3.1 GB
Updated2025-09-09
MaintainerQwen
Model Typeqwen2
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.40.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2.5 1.5B

Model
Likes
Downloads
VRAM
Qwen2.5 1.5B Unsloth Bnb 4bit2139721 GB
WiNGPT Babel4012701 GB
Qwen2.5 1.5B Instruct 4bit172650 GB
Qwen2.5 1.5B Bnb 4bit113351 GB
Qwen2.5 1.5B Instruct 8bit11071 GB
Qwen2.5 Coder 1.5B 4bit2700 GB
...5B Instruct Abliterated V1 F160103 GB

Best Alternatives to Qwen2.5 1.5B

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Context / RAM
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ReaderLM V2500K / 3.1 GB22328698
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DeepSeek R1 Distill Qwen 1.5B128K / 3.5 GB5902281327
...n Research Reasoning Qwen 1.5B128K / 7.1 GB7165216
DeepScaleR 1.5B Preview128K / 7.1 GB29897571
AceInstruct 1.5B128K / 3.5 GB6304020
OpenReasoning Nemotron 1.5B128K / 3.1 GB274343
...1 Distill Qwen 1.5B GSPO Basic128K / 3.5 GB7520
Qwen2 1.5B128K / 3.1 GB7384497
Qwen2.5 1.5B India Finetuned128K / 3.1 GB621
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-1.5B.

Rank the Qwen2.5 1.5B Capabilities

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124