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RichardErkhov/
sethuiyer_-_Dr_Samantha_7b_mistral-gguf

Name: sethuiyer_-_Dr_Samantha_7b_mistral-gguf
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Dr_Samantha_7b_mistral - GGUF

Model creator: https://huggingface.co/sethuiyer/
Original model: https://huggingface.co/sethuiyer/Dr_Samantha_7b_mistral/

Name	Quant method	Size
Dr_Samantha_7b_mistral.Q2_K.gguf	Q2_K	2.53GB
Dr_Samantha_7b_mistral.IQ3_XS.gguf	IQ3_XS	2.81GB
Dr_Samantha_7b_mistral.IQ3_S.gguf	IQ3_S	2.96GB
Dr_Samantha_7b_mistral.Q3_K_S.gguf	Q3_K_S	2.95GB
Dr_Samantha_7b_mistral.IQ3_M.gguf	IQ3_M	3.06GB
Dr_Samantha_7b_mistral.Q3_K.gguf	Q3_K	3.28GB
Dr_Samantha_7b_mistral.Q3_K_M.gguf	Q3_K_M	3.28GB
Dr_Samantha_7b_mistral.Q3_K_L.gguf	Q3_K_L	3.56GB
Dr_Samantha_7b_mistral.IQ4_XS.gguf	IQ4_XS	3.67GB
Dr_Samantha_7b_mistral.Q4_0.gguf	Q4_0	3.83GB
Dr_Samantha_7b_mistral.IQ4_NL.gguf	IQ4_NL	3.87GB
Dr_Samantha_7b_mistral.Q4_K_S.gguf	Q4_K_S	3.86GB
Dr_Samantha_7b_mistral.Q4_K.gguf	Q4_K	4.07GB
Dr_Samantha_7b_mistral.Q4_K_M.gguf	Q4_K_M	4.07GB
Dr_Samantha_7b_mistral.Q4_1.gguf	Q4_1	4.24GB
Dr_Samantha_7b_mistral.Q5_0.gguf	Q5_0	4.65GB
Dr_Samantha_7b_mistral.Q5_K_S.gguf	Q5_K_S	4.65GB
Dr_Samantha_7b_mistral.Q5_K.gguf	Q5_K	4.78GB
Dr_Samantha_7b_mistral.Q5_K_M.gguf	Q5_K_M	4.78GB
Dr_Samantha_7b_mistral.Q5_1.gguf	Q5_1	5.07GB
Dr_Samantha_7b_mistral.Q6_K.gguf	Q6_K	5.53GB
Dr_Samantha_7b_mistral.Q8_0.gguf	Q8_0	7.17GB

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: 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

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:

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, thanks to s3nh

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

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

RichardErkhov/sethuiyer_-_Dr_Samantha_7b_mistral-gguf