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Tau 1.8B by M4-ai

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  Autotrain compatible   Conversational Dataset:locutusque/ultratextbo...   En   Endpoints compatible   Model-index   Qwen2   Region:us   Safetensors   Zh
Model Card on HF 🤗: https://huggingface.co/M4-ai/tau-1.8B 

Tau 1.8B Benchmarks

ARC: 37.2 vs 96.7 (so35)-61.5%
HellaSwag: 60.26 vs 95.3 (gpt4)-36.8%
MMLU: 45.96 vs 88.3 (so35)-48%
TruthfulQA: 39.72 vs 59 (gpt4)-32.7%
WinoGrande: 61.09 vs 87.5 (gpt4)-30.2%
GSM8K: 30.17 vs 96.4 (so35)-68.7%
LLME Score: 0.20679
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tau 1.8B (M4-ai/tau-1.8B)

Tau 1.8B Parameters and Internals

Model Type 
Language Model
Use Cases 
Areas:
Research, Educational technology
Applications:
Machine learning, Mathematics, Coding, Educational question answering, Text summarization, Content generation for educational purposes, Code understanding and generation, Mathematical problem solving
Limitations:
It is essential to note that the model may still exhibit biases or inaccuracies present in the training data.
Training Details 
Data Sources:
UltraTextbooks-2.0
Methodology:
Further pre-training of Qwen1.5-1.8B on UltraTextbooks-2.0.
Responsible Ai Considerations 
Fairness:
Users should be aware of these potential limitations and use the model responsibly. The model should not be used for tasks that could cause harm or discriminate against individuals or groups.
Mitigation Strategies:
Users are encouraged to critically evaluate the model's outputs and report any issues to facilitate continuous improvement.
LLM NameTau 1.8B
Repository 🤗https://huggingface.co/M4-ai/tau-1.8B 
Model Size1.8b
Required VRAM3.7 GB
Updated2025-03-13
MaintainerM4-ai
Model Typeqwen2
Model Files  3.7 GB
Supported Languagesen zh
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than M4-ai/tau-1.8B.

Rank the Tau 1.8B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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