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Tsunami 0.5 7B Instruct by Tsunami-th

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  Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-7b   Conversational   En   Endpoints compatible   Instruct   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Th
Model Card on HF 🤗: https://huggingface.co/Tsunami-th/Tsunami-0.5-7B-Instruct 

Tsunami 0.5 7B Instruct Benchmarks

MMLU Pro: 37.92
GPQA: 7.83
MUSR: 12.21
BBH: 36.14
IFEval: 74 vs 88 (so35)-15.9%
MATH Lvl 5: 0.15
LLME Score: 0.3338
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tsunami 0.5 7B Instruct (Tsunami-th/Tsunami-0.5-7B-Instruct)

Tsunami 0.5 7B Instruct Parameters and Internals

LLM NameTsunami 0.5 7B Instruct
Repository 🤗https://huggingface.co/Tsunami-th/Tsunami-0.5-7B-Instruct 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B
Model Size7b
Required VRAM15.2 GB
Updated2024-12-30
MaintainerTsunami-th
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Supported Languagesth en
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.45.0
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 Tsunami-th/Tsunami-0.5-7B-Instruct.

Rank the Tsunami 0.5 7B Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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