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Qwen1.5 0.5B by Xenova

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Qwen1.5 0.5B is an open-source language model by Xenova. Features: 0.5b LLM, Context: 32K, LLM Explorer Score: 0.11.

Base model:quantized:qwen/qwen...   Base model:qwen/qwen1.5-0.5b   Conversational   Onnx   Qwen2   Region:us   Transformers.js
Model Card on HF 🤗: https://huggingface.co/Xenova/Qwen1.5-0.5B 

Qwen1.5 0.5B Benchmarks

LLME Score: 0.11465
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen1.5 0.5B (Xenova/Qwen1.5-0.5B)
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Qwen1.5 0.5B Parameters and Internals

Additional Notes 
The model uses ONNX weights to be compatible with Transformers.js. A separate repo for ONNX weights is intended to be temporary until WebML gains more traction. Users are suggested to convert models to ONNX using 🤗 Optimum and structure their repo like this one, with ONNX weights in a subfolder named 'onnx'.
LLM NameQwen1.5 0.5B
Repository 🤗https://huggingface.co/Xenova/Qwen1.5-0.5B 
Base Model(s)  Qwen/Qwen1.5-0.5B   Qwen/Qwen1.5-0.5B
Model Size0.5b
Updated2026-05-23
MaintainerXenova
Model Typeqwen2
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

Best Alternatives to Qwen1.5 0.5B

Best Alternatives
Context / RAM
Downloads
Likes
Reader Lm 0.5B250K / 1 GB553150
Qwen2 0.5B128K / 1 GB467607166
...0.5B FT EnhancedMUSREnsembleV3128K / 1 GB321
....5B FT V4 MUSR ENSEMBLE Mathis128K / 2 GB301
...PRYMMAL 0.5B FT V4 MUSR Mathis128K / 1 GB621
...0.5B FT MUSR ENSEMBLE V2Mathis128K / 1 GB250
Qwen2 0.5B Stf Imdb128K / 1 GB70
ECE PRYMMAL 0.5B FT V3 MUSR128K / 2 GB130
...44 45ee 44f3 934d Ddc8b6e082f1128K / 1 GB80
...wen199f16 Merged FinetunedByAG128K / 1 GB50
Note: green Score (e.g. "73.2") means that the model is better than Xenova/Qwen1.5-0.5B.

Rank the Qwen1.5 0.5B 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  
Multi-Language Support and Translation  

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