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Model: sethuiyer/Dr_Samantha-7b
Source: Original Platform

.gitattributes

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README.md

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+---
+language:
+- en
+- zh
+license: llama2
+library_name: transformers
+tags:
+- llama
+- merge
+- medical
+datasets:
+- GBaker/MedQA-USMLE-4-options
+- cognitivecomputations/samantha-data
+- shibing624/medical
+base_model:
+- Severus27/BeingWell_llama2_7b
+- ParthasarathyShanmugam/llama-2-7b-samantha
+pipeline_tag: text-generation
+model-index:
+- name: Dr_Samantha-7b
+  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: 53.84
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Dr_Samantha-7b
+      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: 77.95
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Dr_Samantha-7b
+      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: 47.94
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Dr_Samantha-7b
+      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: 45.58
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Dr_Samantha-7b
+      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: 73.56
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Dr_Samantha-7b
+      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: 18.8
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Dr_Samantha-7b
+      name: Open LLM Leaderboard
+---
+
+# Dr. Samantha
+
+<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>
+
+## Overview
+
+Dr. Samantha is a language model made by merging `Severus27/BeingWell_llama2_7b` and `ParthasarathyShanmugam/llama-2-7b-samantha` using [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.
+
+
+# Yaml Config
+
+```yaml
+
+slices:
+  - sources:
+      - model: Severus27/BeingWell_llama2_7b
+        layer_range: [0, 32]
+      - model: ParthasarathyShanmugam/llama-2-7b-samantha
+        layer_range: [0, 32]
+
+merge_method: slerp
+base_model: TinyPixel/Llama-2-7B-bf16-sharded
+
+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 # fallback for rest of tensors
+tokenizer_source: union
+
+dtype: bfloat16
+
+```
+
+## Prompt Template
+
+```text
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+What is your name?
+
+### Response:
+My name is Samantha.
+```
+
+## ⚡ Quantized models
+
+* **GGUF**:https://huggingface.co/TheBloke/Dr_Samantha-7B-GGUF
+* **GPTQ**: https://huggingface.co/TheBloke/Dr_Samantha-7B-GPTQ
+* **AWQ**: https://huggingface.co/TheBloke/Dr_Samantha-7B-AWQ
+
+Thanks to [TheBloke](https://huggingface.co/TheBloke) for making this available! 
+
+Dr.Samantha is now available on Ollama. You can use it by running the command ```ollama run stuehieyr/dr_samantha``` in your 
+terminal. If you have limited computing resources, check out this [video](https://www.youtube.com/watch?v=Qa1h7ygwQq8) to learn how to run it on 
+a Google Colab backend.
+
+## OpenLLM Leaderboard Performance
+| T | Model                            | Average | ARC   | Hellaswag | MMLU  | TruthfulQA | Winogrande | GSM8K |
+|---|----------------------------------|---------|-------|-----------|-------|------------|------------|-------|
+| 1 | sethuiyer/Dr_Samantha-7b         | 52.95   | 53.84 | 77.95     | 47.94 | 45.58      | 73.56      | 18.8  |
+| 2 | togethercomputer/LLaMA-2-7B-32K-Instruct | 50.02   | 51.11 | 78.51     | 46.11 | 44.86      | 73.88      | 5.69  |
+| 3 | togethercomputer/LLaMA-2-7B-32K  | 47.07   | 47.53 | 76.14     | 43.33 | 39.23      | 71.9       | 4.32  |
+
+
+## Subject-wise Accuracy
+
+| Subject               | Accuracy (%) |
+|-----------------------|--------------|
+| Clinical Knowledge    | 52.83        |
+| Medical Genetics      | 49.00        |
+| Human Aging           | 58.29        |
+| Human Sexuality       | 55.73        |
+| College Medicine      | 38.73        |
+| Anatomy               | 41.48        |
+| College Biology       | 52.08        |
+| College Medicine      | 38.73        |
+| High School Biology   | 53.23        |
+| Professional Medicine | 38.73        |
+| Nutrition             | 50.33        |
+| Professional Psychology | 46.57      |
+| Virology              | 41.57        |
+| High School Psychology | 66.60       |
+| Average                | 48.85%      |
+
+
+## Evaluation by GPT-4 across 25 random prompts from ChatDoctor-200k Dataset
+
+### Overall Rating: 83.5/100
+
+#### Pros:
+
+- Demonstrates extensive medical knowledge through accurate identification of potential causes for various symptoms.
+- Responses consistently emphasize the importance of seeking professional diagnoses and treatments.
+- Advice to consult specialists for certain concerns is well-reasoned.
+- Practical interim measures provided for symptom management in several cases.
+- Consistent display of empathy, support, and reassurance for patients' well-being.
+- Clear and understandable explanations of conditions and treatment options.
+- Prompt responses addressing all aspects of medical inquiries.
+
+#### Cons:
+
+- Could occasionally place stronger emphasis on urgency when symptoms indicate potential emergencies.
+- Discussion of differential diagnoses could explore a broader range of less common causes.
+- Details around less common symptoms and their implications need more depth at times.
+- Opportunities exist to gather clarifying details on symptom histories through follow-up questions.
+- Consider exploring full medical histories to improve diagnostic context where relevant.
+- Caution levels and risk factors associated with certain conditions could be underscored more.
+
+
+
+# [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)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |52.95|
+|AI2 Reasoning Challenge (25-Shot)|53.84|
+|HellaSwag (10-Shot)              |77.95|
+|MMLU (5-Shot)                    |47.94|
+|TruthfulQA (0-shot)              |45.58|
+|Winogrande (5-shot)              |73.56|
+|GSM8k (5-shot)                   |18.80|
+

added_tokens.json

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config.json

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+{
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+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
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+  "hidden_act": "silu",
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+  "max_position_embeddings": 2048,
+  "model_type": "llama",
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+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32001
+}

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tokenizer_config.json

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+}