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Typhoon V1.5 72B by scb10x

 »  All LLMs  »  scb10x  »  Typhoon V1.5 72B   URL Share it on

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  Arxiv:2312.13951   Autotrain compatible   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Th
Model Card on HF 🤗: https://huggingface.co/scb10x/typhoon-v1.5-72b 

Typhoon V1.5 72B Benchmarks

LLME Score: 0.15482
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Typhoon V1.5 72B (scb10x/typhoon-v1.5-72b)
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Typhoon V1.5 72B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research
Limitations:
may generate harmful or inappropriate responses
Additional Notes 
This is a pretrained base model and may not be able to follow human instructions without using one/few-shot learning or instruction fine-tuning.
Supported Languages 
th (high), en (high)
LLM NameTyphoon V1.5 72B
Repository 🤗https://huggingface.co/scb10x/typhoon-v1.5-72b 
Model Size72b
Required VRAM144.5 GB
Updated2025-09-13
Maintainerscb10x
Model Typeqwen2
Model Files  4.8 GB: 1-of-30   5.0 GB: 2-of-30   5.0 GB: 3-of-30   4.8 GB: 4-of-30   4.8 GB: 5-of-30   4.8 GB: 6-of-30   5.0 GB: 7-of-30   5.0 GB: 8-of-30   4.8 GB: 9-of-30   4.8 GB: 10-of-30   4.8 GB: 11-of-30   5.0 GB: 12-of-30   5.0 GB: 13-of-30   4.8 GB: 14-of-30   4.8 GB: 15-of-30   4.8 GB: 16-of-30   5.0 GB: 17-of-30   5.0 GB: 18-of-30   4.8 GB: 19-of-30   4.8 GB: 20-of-30   4.8 GB: 21-of-30   5.0 GB: 22-of-30   5.0 GB: 23-of-30   4.8 GB: 24-of-30   4.8 GB: 25-of-30   4.8 GB: 26-of-30   5.0 GB: 27-of-30   5.0 GB: 28-of-30   4.8 GB: 29-of-30   2.9 GB: 30-of-30
Supported Languagesth en
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than scb10x/typhoon-v1.5-72b.

Rank the Typhoon V1.5 72B 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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