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RP Jp 2 by beyoru

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RP Jp 2 is an open-source language model by beyoru. Features: LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.17.

  Autotrain compatible   Conversational   En   Endpoints compatible   Ja   Pytorch   Qwen2   Region:us   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/beyoru/RP_jp_2 

RP Jp 2 Benchmarks

LLME Score: 0.17274
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RP Jp 2 (beyoru/RP_jp_2)
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RP Jp 2 Parameters and Internals

LLM NameRP Jp 2
Repository 🤗https://huggingface.co/beyoru/RP_jp_2 
Required VRAM1 GB
Updated2025-08-24
Maintainerbeyoru
Model Typeqwen2
Model Files  1.0 GB
Supported Languagesen ja
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

Best Alternatives to RP Jp 2

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Context / RAM
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Qwen2.5128K / 15.2 GB50
A.X 4.0128K / 144.4 GB445175
Palmyra Mini Thinking A128K / 3.5 GB6127
Palmyra Mini Thinking B128K / 3.5 GB1927
XJJ DeepSeek R1 COT128K / 0.1 GB70
SuperNova Medius Bf16128K / 29.6 GB52
C3D4e5F6128K / 1 GB6300
Qwerty2 05bita128K / 1 GB5690
B2C3D4e5128K / 1 GB500
Mxbai Rerank Large V232K / 3.1 GB6658127
Note: green Score (e.g. "73.2") means that the model is better than beyoru/RP_jp_2.

Rank the RP Jp 2 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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