real-jiakai
/

Meta-Llama-3-8B-Instruct-Jiakai

@@ -2,199 +2,53 @@
 library_name: transformers
 tags:
 - llama-factory
 ---
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 library_name: transformers
 tags:
 - llama-factory
+license: mit
+language:
+- zh
+base_model:
+- unsloth/llama-3-8b-Instruct-bnb-4bit
 ---
+# Meta-Llama-3-8B-Instruct-Jiakai Model Card
+This is a fine-tuned version of the [unsloth/llama-3-8b-Instruct-bnb-4bit](https://huggingface.co/unsloth/llama-3-8b-Instruct-bnb-4bit) model, tailored by **Jiakai** using the [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) framework. The model has been fine-tuned to improve its performance on Chinese language tasks, incorporating self-awareness data from the `identity` dataset.
+### Model Sources
+- **Repository:** [GitHub - hiyouga/LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory)
 ## How to Get Started with the Model
+```python
+# Import the pipeline function from transformers
+from transformers import pipeline
+# Create a text-generation pipeline with the specified model
+generator = pipeline('text-generation', model="real-jiakai/Meta-Llama-3-8B-Instruct-Jiakai")
+# Prepare the input text
+input_text = "What's your name?"
+# Generate text using the pipeline
+# max_length controls the maximum length of the generated text
+# num_return_sequences specifies how many different sequences to generate
+response = generator(input_text, max_length=50, num_return_sequences=1)
+# Print the generated response
+# The generated text is accessed from the first (and only) sequence, and the 'generated_text' key
+print(response[0]['generated_text'])
+```
+## Citation
+If you use this model in your work, please cite it as:
+```
+@misc{MetaLlama3_8B_Instruct_Jiakai,
+  author = {real-jiakai},
+  title = {Meta-Llama-3-8B-Instruct-Jiakai},
+  year = 2024,
+  url = {https://huggingface.co/real-jiakai/Meta-Llama-3-8B-Instruct-Jiakai}
+  publisher = { Hugging Face}
+}
+```