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Tau 0.5B Instruct by M4-ai

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  Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Pytorch   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/M4-ai/tau-0.5B-instruct 

Tau 0.5B Instruct Benchmarks

LLME Score: 0.15558
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Tau 0.5B Instruct Parameters and Internals

Model Type 
Instruction-following, Language Model
Use Cases 
Areas:
virtual assistants, educational tools, research aids
Applications:
Question answering, Text generation and completion, Mathematical problem solving, Code understanding, generation, and explanation, Reasoning and analysis, Trivia and general knowledge
Considerations:
It is essential to evaluate the model's outputs critically and provide feedback to support ongoing improvements
Additional Notes 
The model's ability to follow instructions, combined with its knowledge in various domains, makes it suitable for a wide range of tasks
Supported Languages 
en (high)
Training Details 
Data Sources:
16,000 entries generated by GPT-4
Methodology:
fine-tuning
Responsible Ai Considerations 
Mitigation Strategies:
Users should ensure that the model is used responsibly and does not cause harm or discriminate against individuals or groups
LLM NameTau 0.5B Instruct
Repository 🤗https://huggingface.co/M4-ai/tau-0.5B-instruct 
Model Size0.5b
Required VRAM0.9 GB
Updated2025-06-09
MaintainerM4-ai
Model Typeqwen2
Instruction-BasedYes
Model Files  0.9 GB   0.9 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace
Tau 0.5B Instruct (M4-ai/tau-0.5B-instruct)

Best Alternatives to Tau 0.5B Instruct

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Context / RAM
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Qwen2 0.5B Abyme Merge3128K / 1.3 GB161
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Qwen2.5 Coder 0.5B Instruct32K / 1 GB5775947
...5B Instruct With Output Tokens32K / 2 GB8800
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QwQ 0.5B32K / 1 GB4545
Note: green Score (e.g. "73.2") means that the model is better than M4-ai/tau-0.5B-instruct.

Rank the Tau 0.5B 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 v20241124
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