Update README.md
Browse files
README.md
CHANGED
|
@@ -68,6 +68,26 @@ The ATLAS framework, using this teacher model, produces the following improvemen
|
|
| 68 |
|
| 69 |
`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.
|
| 70 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 71 |
### Conceptual Usage
|
| 72 |
|
| 73 |
The following is a simplified, conceptual example of the ATLAS interaction loop. The full implementation is available in the official repository.
|
|
|
|
| 68 |
|
| 69 |
`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.
|
| 70 |
|
| 71 |
+
### Loading the Model
|
| 72 |
+
|
| 73 |
+
**Important:** This model requires `trust_remote_code=True` due to custom Qwen3 architecture components.
|
| 74 |
+
|
| 75 |
+
```python
|
| 76 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 77 |
+
|
| 78 |
+
# Load the teacher model
|
| 79 |
+
teacher_model = AutoModelForCausalLM.from_pretrained(
|
| 80 |
+
"Arc-Intelligence/ATLAS-8B-Thinking",
|
| 81 |
+
trust_remote_code=True, # Required for custom architecture
|
| 82 |
+
torch_dtype=torch.bfloat16 # Recommended for efficiency
|
| 83 |
+
)
|
| 84 |
+
|
| 85 |
+
teacher_tokenizer = AutoTokenizer.from_pretrained(
|
| 86 |
+
"Arc-Intelligence/ATLAS-8B-Thinking",
|
| 87 |
+
trust_remote_code=True
|
| 88 |
+
)
|
| 89 |
+
```
|
| 90 |
+
|
| 91 |
### Conceptual Usage
|
| 92 |
|
| 93 |
The following is a simplified, conceptual example of the ATLAS interaction loop. The full implementation is available in the official repository.
|