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ReaderLM V2 by jinaai

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ReaderLM V2 is an open-source language model by jinaai. Features: 1.5b LLM, VRAM: 3.1GB, Context: 500K, License: cc-by-nc-4.0, LLM Explorer Score: 0.27.

  Arxiv:2503.01151   Conversational   Deploy:azure   Multilingual   Onnx   Qwen2   Region:eu   Safetensors
Model Card on HF 🤗: https://huggingface.co/jinaai/ReaderLM-v2 

ReaderLM V2 Benchmarks

LLME Score: 0.26786
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ReaderLM V2 (jinaai/ReaderLM-v2)
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ReaderLM V2 Parameters and Internals

LLM NameReaderLM V2
Repository 🤗https://huggingface.co/jinaai/ReaderLM-v2 
Model Size1.5b
Required VRAM3.1 GB
Updated2026-04-24
Maintainerjinaai
Model Typeqwen2
Model Files  3.1 GB
Model ArchitectureQwen2ForCausalLM
Licensecc-by-nc-4.0
Context Length512768
Model Max Length512768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Qwen2 1.5B128K / 3.1 GB127243102
1.5B Cold Start SFT128K / 3.5 GB45030
OpenReasoning Nemotron 1.5B128K / 3.1 GB793456
DeepScaleR 1.5B Preview128K / 7.1 GB7129583
Note: green Score (e.g. "73.2") means that the model is better than jinaai/ReaderLM-v2.

Rank the ReaderLM V2 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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