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| Parameter | Value |
|---|---|
| Base Model | Llama 3.1 8B |
| Training Method | QLoRA (4-bit) |
| LoRA Rank | 64 |
| Training Data | 8,200+ Q&A pairs |
| Epochs | ~2 |
| Hardware | NVIDIA A100 |
| Framework | Unsloth + HuggingFace TRL |
1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model = AutoModelForCausalLM.from_pretrained("VickyK09/neuronerd-llama-8b")
4tokenizer = AutoTokenizer.from_pretrained("VickyK09/neuronerd-llama-8b")
5
6# Format your prompt
7prompt = """Below is an instruction that describes a task. Write a response that appropriately completes the request.
8
9### Instruction:
10What is the role of dopamine in reward learning?
11
12### Response:
13"""
14
15inputs = tokenizer(prompt, return_tensors="pt")
16outputs = model.generate(**inputs, max_new_tokens=256)
17print(tokenizer.decode(outputs[0], skip_special_tokens=True))Mirror neurons fire both when an individual performs an action and when they observe someone else performing the same action. This dual activation pattern suggests they play a crucial role in understanding others' actions by internally simulating observed movements...
1@misc{neuronerd2024,
2 author = {VickyK09},
3 title = {NeuroNerd: A Fine-tuned Llama 3.1 8B for Neuroscience},
4 year = {2024},
5 publisher = {HuggingFace},
6 url = {https://huggingface.co/VickyK09/neuronerd-llama-8b}
7}