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README.md
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@@ -68,6 +68,26 @@ The ATLAS framework, using this teacher model, produces the following improvemen
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`ATLAS-8B-Thinking` is not a standard instruction-tuned model for direct chat. It is a core component of the ATLAS training framework, designed to interact with a "student" model in a two-pass process.
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### Conceptual Usage
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The following is a simplified, conceptual example of the ATLAS interaction loop. The full implementation is available in the official repository.
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`ATLAS-8B-Thinking` is not a standard instruction-tuned model for direct chat. It is a core component of the ATLAS training framework, designed to interact with a "student" model in a two-pass process.
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### Loading the Model
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**Important:** This model requires `trust_remote_code=True` due to custom Qwen3 architecture components.
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# Load the teacher model
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teacher_model = AutoModelForCausalLM.from_pretrained(
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"Arc-Intelligence/ATLAS-8B-Thinking",
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trust_remote_code=True, # Required for custom architecture
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torch_dtype=torch.bfloat16 # Recommended for efficiency
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)
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teacher_tokenizer = AutoTokenizer.from_pretrained(
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"Arc-Intelligence/ATLAS-8B-Thinking",
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trust_remote_code=True
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)
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```
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### Conceptual Usage
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The following is a simplified, conceptual example of the ATLAS interaction loop. The full implementation is available in the official repository.
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