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README.md

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+---
+license: apache-2.0
+---
+
+# phi3-128k-test
+phi3-128k-test is an SFT fine-tuned version of microsoft/Phi-3-mini-128k-instruct using a custom training dataset.
+This model was made with [Phinetune]()
+
+## Process
+- Learning Rate: 1.41e-05
+- Maximum Sequence Length: 2048
+- Dataset: macadeliccc/opus_samantha
+- Split: train
+
+## 💻 Usage
+```python
+!pip install -qU transformers
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+model = "dohyung97022/phi3-128k-test"
+tokenizer = AutoTokenizer.from_pretrained(model)
+
+# Example prompt
+prompt = "Your example prompt here"
+
+# Generate a response
+model = AutoModelForCausalLM.from_pretrained(model)
+pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer)
+outputs = pipeline(prompt, max_length=50, num_return_sequences=1)
+print(outputs[0]["generated_text"])
+```

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+}

config.json

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+  "architectures": [
+    "Phi3ForCausalLM"
+  ],
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