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Model: sethuiyer/Dr_Samantha_7b_mistral
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---
license: apache-2.0
tags:
- merge
- mergekit
- segmed/MedMistral-7B-v0.1
- Guilherme34/Samantha-v2
datasets:
- medmcqa
- cognitivecomputations/samantha-data
base_model:
- segmed/MedMistral-7B-v0.1
- Guilherme34/Samantha-v2
model-index:
- name: Dr_Samantha_7b_mistral
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 60.41
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Dr_Samantha_7b_mistral
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 83.65
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Dr_Samantha_7b_mistral
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 63.14
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Dr_Samantha_7b_mistral
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 41.37
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Dr_Samantha_7b_mistral
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 75.45
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Dr_Samantha_7b_mistral
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 31.46
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Dr_Samantha_7b_mistral
name: Open LLM Leaderboard
---
# Dr_Samantha_7b_mistral
<p align="center">
<img src="https://huggingface.co/sethuiyer/Dr_Samantha-7b/resolve/main/dr_samantha_anime_style_reduced_quality.webp" height="256px" alt="SynthIQ">
</p>
Dr. Samantha represents a blend of AI in healthcare, offering a balance between technical medical knowledge and the softer skills of communication and empathy, crucial for patient interaction and care.
This model is a merge of the following models made with mergekit(https://github.com/cg123/mergekit):
* [segmed/MedMistral-7B-v0.1](https://huggingface.co/segmed/MedMistral-7B-v0.1)
* [Guilherme34/Samantha-v2](https://huggingface.co/Guilherme34/Samantha-v2)
Has capabilities of a medical knowledge-focused model (trained on USMLE databases and doctor-patient interactions) with the philosophical, psychological, and relational understanding of the Samantha-7b model.
As both a medical consultant and personal counselor, Dr.Samantha could effectively support both physical and mental wellbeing - important for whole-person care.
## 🧩 Configuration
```yaml
slices:
- sources:
- model: segmed/MedMistral-7B-v0.1
layer_range: [0, 32]
- model: Guilherme34/Samantha-v2
layer_range: [0, 32]
merge_method: slerp
base_model: OpenPipe/mistral-ft-optimized-1218
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
```
## OpenLLM Evaluation
Details about that can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_sethuiyer__Dr_Samantha_7b_mistral). Overall, with regards to the
subjects related to medical domain, the model's performance is as follows:
| Subject | Accuracy |
|-----------------------|------------|
| Clinical Knowledge | 70.57% |
| Medical Genetics | 71.00% |
| Human Aging | 69.06% |
| Human Sexuality | 75.57% |
| College Medicine | 63.01% |
| Anatomy | 58.52% |
| College Biology | 72.92% |
| College Medicine | 63.01% |
| High School Biology | 75.48% |
| Professional Medicine | 65.44% |
| Nutrition | 76.79% |
| High School Psychology | 83.12% |
| Professional Psychology | 65.35% |
| Virology | 53.61% |
| Average | **68.82%** |
Dr. Samantha performs reasonably well on various medical-related subjects, averaging 68.82% overall in medical sciences, biology, and psychology,
however it's important to note that medical diagnosis and treatment decisions often require a much higher level of accuracy, reliability, and context awareness.
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "sethuiyer/Dr_Samantha_7b_mistral"
ask_samantha = '''
Symptoms:
Dizziness, headache and nausea.
What is the differnetial diagnosis?
'''
messages = [{"role": "system", "content": '''You are Doctor Samantha, a virtual AI doctor known for your friendly and approachable demeanor,
combined with a deep expertise in the medical field. You're here to provide professional, empathetic, and knowledgeable advice on health-related inquiries.
You'll also provide differential diagnosis. If you're unsure about any information, Don't share false information.'''},
{"role": "user", "content": f"{ask_samantha}"}]
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"])
```
```text
Dizziness, headache and nausea can be caused by a variety of conditions, including:
Vertigo: A sensation of spinning or dizziness that can be caused by problems with the inner ear or brain.
Migraine: A type of headache that can cause throbbing pain, sensitivity to light and sound, and nausea.
Concussion: A type of traumatic brain injury that can cause dizziness, headache, and nausea.
Dehydration: A lack of fluids in the body can cause dizziness, headache, and nausea.
Low blood sugar: A drop in blood sugar levels can cause dizziness, headache, and nausea.
It's important to consult with a healthcare professional for a proper diagnosis and treatment plan.
```
## GGUF Files
GGUF files are available at [s3nh/sethuiyer-Dr_Samantha_7b_mistral-GGUF](https://huggingface.co/s3nh/sethuiyer-Dr_Samantha_7b_mistral-GGUF), thanks to [s3nh](https://huggingface.co/s3nh)
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_sethuiyer__Dr_Samantha_7b_mistral)
| Metric |Value|
|---------------------------------|----:|
|Avg. |59.25|
|AI2 Reasoning Challenge (25-Shot)|60.41|
|HellaSwag (10-Shot) |83.65|
|MMLU (5-Shot) |63.14|
|TruthfulQA (0-shot) |41.37|
|Winogrande (5-shot) |75.45|
|GSM8k (5-shot) |31.46|