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Tokara 0.5B Chat V0.1 by Kendamarron

 »  All LLMs  »  Kendamarron  »  Tokara 0.5B Chat V0.1   URL Share it on

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  Autotrain compatible   Conversational   En   Endpoints compatible   Ja   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Kendamarron/Tokara-0.5B-Chat-v0.1 

Tokara 0.5B Chat V0.1 Benchmarks

LLME Score: 0.18672
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tokara 0.5B Chat V0.1 (Kendamarron/Tokara-0.5B-Chat-v0.1)

Tokara 0.5B Chat V0.1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Commercial applications
Limitations:
Model size leading to repetition at low repetition_penalty settings
Additional Notes 
Model adds chat capabilities to a base model pre-trained on significant Japanese and English datasets.
Supported Languages 
ja (High), en (High)
Training Details 
Data Sources:
Japanese and English datasets
Data Volume:
5 billion tokens
Methodology:
Continued pre-training and chat vector integration
Model Architecture:
Causal Language Model
Input Output 
Input Format:
Multi-turn chat messages with role descriptors
Accepted Modalities:
Text
Output Format:
Text generated as response
Performance Tips:
Set repetition_penalty to 1.15-1.25 to prevent early repetition.
LLM NameTokara 0.5B Chat V0.1
Repository 🤗https://huggingface.co/Kendamarron/Tokara-0.5B-Chat-v0.1 
Model Size0.5b
Required VRAM0.9 GB
Updated2025-02-22
MaintainerKendamarron
Model Typeqwen2
Model Files  0.9 GB
Supported Languagesja en
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Rank the Tokara 0.5B Chat V0.1 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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Release v20241227
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