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Orca 2.0 Tau 1.8B by M4-ai

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Orca 2.0 Tau 1.8B is an open-source language model by M4-ai. Features: 1.8b LLM, VRAM: 3.7GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.16, Arc: 37.1, HellaSwag: 61.1, MMLU: 45.3, GSM8K: 29.

Base model:finetune:m4-ai/tau-...   Base model:m4-ai/tau-1.8b   Conversational   Dataset:camel-ai/biology   Dataset:camel-ai/chemistry   Dataset:camel-ai/math   Dataset:camel-ai/physics Dataset:jondurbin/airoboros-3....   Dataset:ldjnr/capybara   Dataset:m-a-p/code-feedback Dataset:maziyarpanahi/wizardlm... Dataset:microsoft/orca-math-wo...   Dataset:open-orca/slimorca   En   Endpoints compatible   Instruct   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/M4-ai/Orca-2.0-Tau-1.8B 

Orca 2.0 Tau 1.8B Benchmarks

ARC: 37.12 vs 96.7 (so35)-61.6%
HellaSwag: 61.13 vs 95.3 (gpt4)-35.9%
MMLU: 45.27 vs 88.3 (so35)-48.7%
GSM8K: 28.96 vs 96.4 (so35)-70%
LLME Score: 0.1644
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Orca 2.0 Tau 1.8B (M4-ai/Orca-2.0-Tau-1.8B)
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Orca 2.0 Tau 1.8B Parameters and Internals

Model Type 
text-generation
Use Cases 
Applications:
General purpose assistant, question answering, chain-of-thought
Limitations:
users should be made aware of the risks, biases, and limitations
Additional Notes 
A DPO version of this will be released soon.
Supported Languages 
English (NLP), Chinese (maybe)
Training Details 
Data Sources:
Open-Orca/SlimOrca, m-a-p/Code-Feedback, MaziyarPanahi/WizardLM_evol_instruct_V2_196k, camel-ai/math, camel-ai/physics, camel-ai/biology, camel-ai/chemistry, LDJnr/Capybara, jondurbin/airoboros-3.2, microsoft/orca-math-word-problems-200k
Context Length:
2048
Hardware Used:
8 Kaggle TPUs
Input Output 
Input Format:
ChatML prompt format
LLM NameOrca 2.0 Tau 1.8B
Repository 🤗https://huggingface.co/M4-ai/Orca-2.0-Tau-1.8B 
Base Model(s)  M4-ai/tau-1.8B   M4-ai/tau-1.8B
Model Size1.8b
Required VRAM3.7 GB
Updated2026-05-13
MaintainerM4-ai
Model Typeqwen2
Instruction-BasedYes
Model Files  2.0 GB: 1-of-2   1.7 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.40.2
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/Orca-2.0-Tau-1.8B.

Rank the Orca 2.0 Tau 1.8B 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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