File size: 2,849 Bytes
5d4fbc2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
tags:
- llama-3-8b
- sft
- medical
base_model:
- meta-llama/Meta-Llama-3-8B
license: cc-by-nc-nd-4.0
---
# JSL-MedLlama-3-8B-v1.0
[<img src="https://repository-images.githubusercontent.com/104670986/2e728700-ace4-11ea-9cfc-f3e060b25ddf">](http://www.johnsnowlabs.com)
This model is developed by [John Snow Labs](https://www.johnsnowlabs.com/).
This model is available under a [CC-BY-NC-ND](https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en) license and must also conform to this [Acceptable Use Policy](https://huggingface.co./johnsnowlabs). If you need to license this model for commercial use, please contact us at [email protected].
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "johnsnowlabs/JSL-MedLlama-3-8B-v1.0"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```
## 🏆 Evaluation
| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
|-------------------------------|-------|------|-----:|--------|-----:|---|-----:|
|stem |N/A |none | 0|acc |0.6217|± |0.0057|
| | |none | 0|acc_norm|0.5847|± |0.0066|
| - medmcqa |Yaml |none | 0|acc |0.5563|± |0.0077|
| | |none | 0|acc_norm|0.5563|± |0.0077|
| - medqa_4options |Yaml |none | 0|acc |0.6779|± |0.0131|
| | |none | 0|acc_norm|0.6779|± |0.0131|
| - anatomy (mmlu) | 0|none | 0|acc |0.6963|± |0.0397|
| - clinical_knowledge (mmlu) | 0|none | 0|acc |0.7509|± |0.0266|
| - college_biology (mmlu) | 0|none | 0|acc |0.7986|± |0.0335|
| - college_medicine (mmlu) | 0|none | 0|acc |0.6590|± |0.0361|
| - medical_genetics (mmlu) | 0|none | 0|acc |0.8500|± |0.0359|
| - professional_medicine (mmlu)| 0|none | 0|acc |0.7868|± |0.0249|
| - pubmedqa | 1|none | 0|acc |0.7380|± |0.0197|
|Groups|Version|Filter|n-shot| Metric |Value | |Stderr|
|------|-------|------|-----:|--------|-----:|---|-----:|
|stem |N/A |none | 0|acc |0.6217|± |0.0057|
| | |none | 0|acc_norm|0.5847|± |0.0066| |