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RichardErkhov/sethuiyer_-_Dr_Samantha_7b_mistral-gguf

sourceHugging Faceupdated 2y agoView on Hugging Face
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Quantization made by Richard Erkhov.

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DrSamantha7b_mistral - GGUF

  • —Model creator: https://huggingface.co/sethuiyer/
  • —Original model: https://huggingface.co/sethuiyer/DrSamantha7b_mistral/

Original model description: --- 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: DrSamantha7b_mistral results:
  • —task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2arc config: ARC-Challenge split: test args: numfew_shot: 25 metrics:
  • —type: accnorm value: 60.41 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=sethuiyer/DrSamantha7bmistral name: Open LLM Leaderboard
  • —task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: numfewshot: 10 metrics:
  • —type: accnorm value: 83.65 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=sethuiyer/DrSamantha7bmistral name: Open LLM Leaderboard
  • —task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: numfewshot: 5 metrics:
  • —type: acc value: 63.14 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=sethuiyer/DrSamantha7b_mistral name: Open LLM Leaderboard
  • —task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthfulqa config: multiplechoice split: validation args: numfewshot: 0 metrics:
  • —type: mc2 value: 41.37 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=sethuiyer/DrSamantha7b_mistral name: Open LLM Leaderboard
  • —task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winograndexl split: validation args: numfew_shot: 5 metrics:
  • —type: acc value: 75.45 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=sethuiyer/DrSamantha7b_mistral name: Open LLM Leaderboard
  • —task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: numfewshot: 5 metrics:
  • —type: acc value: 31.46 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=sethuiyer/DrSamantha7b_mistral name: Open LLM Leaderboard ---

DrSamantha7b_mistral

<p align="center"> <img src="https://huggingface.co/sethuiyer/DrSamantha-7b/resolve/main/drsamanthaanimestylereducedquality.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):

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. Overall, with regards to the subjects related to medical domain, the model's performance is as follows:

SubjectAccuracy
Clinical Knowledge70.57%
Medical Genetics71.00%
Human Aging69.06%
Human Sexuality75.57%
College Medicine63.01%
Anatomy58.52%
College Biology72.92%
College Medicine63.01%
High School Biology75.48%
Professional Medicine65.44%
Nutrition76.79%
High School Psychology83.12%
Professional Psychology65.35%
Virology53.61%
Average68.82%

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, thanks to s3nh

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

MetricValue
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