How to use from
Unsloth StudioInstall Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for TachyHealthResearch/Llama3-Medical-Finetune_QA_MCQ to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for TachyHealthResearch/Llama3-Medical-Finetune_QA_MCQ to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="TachyHealthResearch/Llama3-Medical-Finetune_QA_MCQ",
max_seq_length=2048,
)Quick Links
Llama3-Medical-Finetune_QA_MCQ
This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0295
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0399 | 0.5324 | 2000 | 1.0353 |
| 1.0358 | 1.0647 | 4000 | 1.0314 |
| 1.0278 | 1.5971 | 6000 | 1.0295 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Downloads last month
- 5
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Model tree for TachyHealthResearch/Llama3-Medical-Finetune_QA_MCQ
Base model
meta-llama/Meta-Llama-3-8B Quantized
unsloth/llama-3-8b-bnb-4bit
Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for TachyHealthResearch/Llama3-Medical-Finetune_QA_MCQ to start chatting