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README.md

@@ -3,69 +3,62 @@ license: apache-2.0
 tags:
 - moe
 - merge
-- epfl-llm/meditron-7b
+- Technoculture/MT7Bi-dpo
 - allenai/tulu-2-dpo-7b
 ---
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/63486df1f8f01fcc4b23e97d/C88GQfAqHnvTMIAGqTNy9.png)
-
 # Medtulu-2x7b
 
 Medtulu-2x7b is a Mixure of Experts (MoE) made with the following models:
-* [epfl-llm/meditron-7b](https://huggingface.co/epfl-llm/meditron-7b)
+* [Technoculture/MT7Bi-dpo](https://huggingface.co/Technoculture/MT7Bi-dpo)
 * [allenai/tulu-2-dpo-7b](https://huggingface.co/allenai/tulu-2-dpo-7b)
 
-## Evaluations
-
-| Benchmark | Meditulu-2x7b | meditron-7b | tulu-2-dpo-7b | meditron-70b | llama-2-7b |
-| --- | --- | --- | --- | --- | --- |
-| MedMCQA |  |  59.2|  | 65.1 |  |
-| ClosedPubMedQA |  | N/A |  |  N/A|  |
-| PubMedQA |  | 74.4 |  | 80.0  |  |
-| MedQA |  | 47.9 |  | 60.7 |  |
-| MedQA4 |  | 52.0 |  | 65.4  |  |
-| MedicationQA |  | N/A |  | N/A |  |
-| MMLU Medical |  | 55.6  | | 73.6 |  |
-| TruthfulQA | 51.23 |  |  |  |  |
-| GSM8K | 18.42 |  |  34.5  |  |  |
-| ARC | 53.16 |  |  |  |  |
-| HellaSwag | 75.65 |  |  |  |  |
-| Winogrande | 73.72 |  |  |  |  |
-
 ## 🧩 Configuration
 
 ```yaml
-base_model: allenai/tulu-2-dpo-7b
+base_model: Technoculture/MT7Bi-dpo
+tokenizer_source: union
 gate_mode: hidden
 dtype: bfloat16
 experts:
-  - source_model: epfl-llm/meditron-7b
-    positive_prompts: 
-      - "How does sleep affect cardiovascular health?"
-      - "Could a plant-based diet improve arthritis symptoms?"
-      - "A patient comes in with symptoms of dizziness and nausea"
-      - "When discussing diabetes management, the key factors to consider are"
-      - "The differential diagnosis for a headache with visual aura could include"
-    negative_prompts:
-      - "Recommend a good recipe for a vegetarian lasagna."
-      - "Give an overview of the French Revolution."
-      - "Explain how a digital camera captures an image."
-      - "What are the environmental impacts of deforestation?"
-      - "The recent advancements in artificial intelligence have led to developments in"
-      - "The fundamental concepts in economics include ideas like supply and demand, which explain"
+  - source_model: Technoculture/MT7Bi-dpo
+    positive_prompts:
+      - "Are elevated serum levels of interleukin 21 associated with disease severity in patients with psoriasis?"
+      - "Which one of the following does NOT present antigens?"
+      - "A 25-year-old male patient presents to your clinic in significant distress. He states he has excruciating, stabbing pain around the left side of his head, and his left eye will not stop tearing. These types of headaches have been occurring for the past week every morning when he awakens and last around 60 minutes. He denies any aura, nausea, or vomiting. He denies any other past medical history. What is this patient's diagnosis?"
+      - "When using an inhaler, when should a patient be asked to rinse their mouth?"
+      - "What is the embryological origin of the hyoid bone?"
+      - "After what period of time does maximal dynamic exercise become predominantly aerobic?"
   - source_model: allenai/tulu-2-dpo-7b
     positive_prompts:
-      - "Here is a funny joke for you -"
-      - "When considering the ethical implications of artificial intelligence, one must take into account"
-      - "In strategic planning, a company must analyze its strengths and weaknesses, which involves"
-      - "Understanding consumer behavior in marketing requires considering factors like"
-      - "The debate on climate change solutions hinges on arguments that"
-    negative_prompts:
-      - "In discussing dietary adjustments for managing hypertension, it's crucial to emphasize"
-      - "For early detection of melanoma, dermatologists recommend that patients regularly check their skin for"
-      - "Explaining the importance of vaccination, a healthcare professional should highlight"
+      - "Who composed the tune of 'Twinkle, Twinkle, Little Star'?"
+      - "Gem went to get new supplies for her hamster and she found snacks and exercise balls She chose the _ because her hamster was fat."
+      - "John orders food for a massive restaurant. He orders 1000 pounds of beef for $8 per pound. He also orders twice that much chicken at $3 per pound. How much did everything cost?"
+      - "The gravitational force of the Sun affects the planets in our solar system. Which of these is influenced the most by this force?"
+      - "2sin(x) + yz ="
+      - "Hobbies and Crafts"
 ```
 
+## Evaluations
+
+| Benchmark | Medtulu-2x7b | Orca-2-7b | llama-2-7b | meditron-7b | meditron-70b |
+| --- | --- | --- | --- | --- | --- |
+| MedMCQA |  |  |  |  |  |
+| ClosedPubMedQA |  |  |  |  |  |
+| PubMedQA |  |  |  |  |  |
+| MedQA |  |  |  |  |  |
+| MedQA4 |  |  |  |  |  |
+| MedicationQA |  |  |  |  |  |
+| MMLU Medical |  |  |  |  |  |
+| MMLU |  |  |  |  |  |
+| TruthfulQA |  |  |  |  |  |
+| GSM8K |  |  |  |  |  |
+| ARC |  |  |  |  |  |
+| HellaSwag |  |  |  |  |  |
+| Winogrande |  |  |  |  |  |
+
+More details on the Open LLM Leaderboard evaluation results can be found here.
+
 ## 💻 Usage
 
 ```python
@@ -75,7 +68,7 @@ from transformers import AutoTokenizer
 import transformers
 import torch
 
-model = "Technoculture/Medtulu-11B"
+model = "Technoculture/Medtulu-2x7b"
 
 tokenizer = AutoTokenizer.from_pretrained(model)
 pipeline = transformers.pipeline(

added_tokens.json

@@ -0,0 +1,19 @@
+{
+  "<CLS>": 32000,
+  "<EOD>": 32002,
+  "<MASK>": 32003,
+  "<PAD>": 32004,
+  "<SEP>": 32001,
+  "[/bib]": 32010,
+  "[/bib_ref]": 32006,
+  "[/fig]": 32012,
+  "[/fig_ref]": 32008,
+  "[/formula]": 32016,
+  "[/table]": 32014,
+  "[bib]": 32009,
+  "[bib_ref]": 32005,
+  "[fig]": 32011,
+  "[fig_ref]": 32007,
+  "[formula]": 32015,
+  "[table]": 32013
+}

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "allenai/tulu-2-dpo-7b",
+  "_name_or_path": "Technoculture/MT7Bi-dpo",
   "architectures": [
     "MixtralForCausalLM"
   ],
@@ -11,7 +11,7 @@
   "hidden_size": 4096,
   "initializer_range": 0.02,
   "intermediate_size": 11008,
-  "max_position_embeddings": 8192,
+  "max_position_embeddings": 2048,
   "model_type": "mixtral",
   "num_attention_heads": 32,
   "num_experts_per_tok": 2,
@@ -20,14 +20,14 @@
   "num_local_experts": 2,
   "output_router_logits": false,
   "pretraining_tp": 1,
-  "rms_norm_eps": 1e-06,
+  "rms_norm_eps": 1e-05,
   "rope_scaling": null,
   "rope_theta": 10000.0,
   "router_aux_loss_coef": 0.001,
   "sliding_window": null,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
-  "transformers_version": "4.37.0.dev0",
-  "use_cache": true,
-  "vocab_size": 32000
+  "transformers_version": "4.37.2",
+  "use_cache": false,
+  "vocab_size": 32017
 }

mergekit_moe_config.yml

@@ -1,29 +1,22 @@
-base_model: allenai/tulu-2-dpo-7b
+
+base_model: Technoculture/MT7Bi-dpo
+tokenizer_source: union
 gate_mode: hidden
 dtype: bfloat16
 experts:
-  - source_model: epfl-llm/meditron-7b
-    positive_prompts: 
-      - "How does sleep affect cardiovascular health?"
-      - "Could a plant-based diet improve arthritis symptoms?"
-      - "A patient comes in with symptoms of dizziness and nausea"
-      - "When discussing diabetes management, the key factors to consider are"
-      - "The differential diagnosis for a headache with visual aura could include"
-    negative_prompts:
-      - "Recommend a good recipe for a vegetarian lasagna."
-      - "Give an overview of the French Revolution."
-      - "Explain how a digital camera captures an image."
-      - "What are the environmental impacts of deforestation?"
-      - "The recent advancements in artificial intelligence have led to developments in"
-      - "The fundamental concepts in economics include ideas like supply and demand, which explain"
+  - source_model: Technoculture/MT7Bi-dpo
+    positive_prompts:
+      - "Are elevated serum levels of interleukin 21 associated with disease severity in patients with psoriasis?"
+      - "Which one of the following does NOT present antigens?"
+      - "A 25-year-old male patient presents to your clinic in significant distress. He states he has excruciating, stabbing pain around the left side of his head, and his left eye will not stop tearing. These types of headaches have been occurring for the past week every morning when he awakens and last around 60 minutes. He denies any aura, nausea, or vomiting. He denies any other past medical history. What is this patient's diagnosis?"
+      - "When using an inhaler, when should a patient be asked to rinse their mouth?"
+      - "What is the embryological origin of the hyoid bone?"
+      - "After what period of time does maximal dynamic exercise become predominantly aerobic?"
   - source_model: allenai/tulu-2-dpo-7b
     positive_prompts:
-      - "Here is a funny joke for you -"
-      - "When considering the ethical implications of artificial intelligence, one must take into account"
-      - "In strategic planning, a company must analyze its strengths and weaknesses, which involves"
-      - "Understanding consumer behavior in marketing requires considering factors like"
-      - "The debate on climate change solutions hinges on arguments that"
-    negative_prompts:
-      - "In discussing dietary adjustments for managing hypertension, it's crucial to emphasize"
-      - "For early detection of melanoma, dermatologists recommend that patients regularly check their skin for"
-      - "Explaining the importance of vaccination, a healthcare professional should highlight"
+      - "Who composed the tune of 'Twinkle, Twinkle, Little Star'?"
+      - "Gem went to get new supplies for her hamster and she found snacks and exercise balls She chose the _ because her hamster was fat."
+      - "John orders food for a massive restaurant. He orders 1000 pounds of beef for $8 per pound. He also orders twice that much chicken at $3 per pound. How much did everything cost?"
+      - "The gravitational force of the Sun affects the planets in our solar system. Which of these is influenced the most by this force?"
+      - "2sin(x) + yz ="
+      - "Hobbies and Crafts"

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special_tokens_map.json

@@ -1,23 +1,58 @@
 {
+  "additional_special_tokens": [
+    "[bib_ref]",
+    "[/bib_ref]",
+    "[fig_ref]",
+    "[/fig_ref]",
+    "[bib]",
+    "[/bib]",
+    "[fig]",
+    "[/fig]",
+    "[table]",
+    "[/table]",
+    "[formula]",
+    "[/formula]"
+  ],
   "bos_token": {
     "content": "<s>",
     "lstrip": false,
-    "normalized": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<CLS>",
+    "lstrip": false,
+    "normalized": false,
     "rstrip": false,
     "single_word": false
   },
   "eos_token": {
     "content": "</s>",
     "lstrip": false,
-    "normalized": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<MASK>",
+    "lstrip": false,
+    "normalized": false,
     "rstrip": false,
     "single_word": false
   },
   "pad_token": "<s>",
+  "sep_token": {
+    "content": "<SEP>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
   "unk_token": {
     "content": "<unk>",
     "lstrip": false,
-    "normalized": true,
+    "normalized": false,
     "rstrip": false,
     "single_word": false
   }

tokenizer.json

@@ -16,7 +16,7 @@
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
-      "normalized": true,
+      "normalized": false,
       "special": true
     },
     {
@@ -25,7 +25,7 @@
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
-      "normalized": true,
+      "normalized": false,
       "special": true
     },
     {
@@ -34,7 +34,160 @@
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       "lstrip": false,
       "rstrip": false,
-      "normalized": true,
+      "normalized": false,
+      "special": true
+    },
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+      "content": "<CLS>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 32001,
+      "content": "<SEP>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 32002,
+      "content": "<EOD>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 32003,
+      "content": "<MASK>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 32004,
+      "content": "<PAD>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 32005,
+      "content": "[bib_ref]",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 32006,
+      "content": "[/bib_ref]",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 32007,
+      "content": "[fig_ref]",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
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+      "id": 32008,
+      "content": "[/fig_ref]",
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+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
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+      "normalized": false,
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+      "lstrip": false,
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+      "normalized": false,
+      "special": true
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+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
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+      "content": "[formula]",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 32016,
+      "content": "[/formula]",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
       "special": true
     }
   ],

tokenizer_config.json

@@ -5,7 +5,7 @@
     "0": {
       "content": "<unk>",
       "lstrip": false,
-      "normalized": true,
+      "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
@@ -13,7 +13,7 @@
     "1": {
       "content": "<s>",
       "lstrip": false,
-      "normalized": true,
+      "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
@@ -21,21 +21,176 @@
     "2": {
       "content": "</s>",
       "lstrip": false,
-      "normalized": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<CLS>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<SEP>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32002": {
+      "content": "<EOD>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32003": {
+      "content": "<MASK>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32004": {
+      "content": "<PAD>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32005": {
+      "content": "[bib_ref]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32006": {
+      "content": "[/bib_ref]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "[fig_ref]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "[/fig_ref]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "[bib]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "[/bib]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32011": {
+      "content": "[fig]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32012": {
+      "content": "[/fig]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32013": {
+      "content": "[table]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32014": {
+      "content": "[/table]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32015": {
+      "content": "[formula]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32016": {
+      "content": "[/formula]",
+      "lstrip": false,
+      "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     }
   },
+  "additional_special_tokens": [
+    "[bib_ref]",
+    "[/bib_ref]",
+    "[fig_ref]",
+    "[/fig_ref]",
+    "[bib]",
+    "[/bib]",
+    "[fig]",
+    "[/fig]",
+    "[table]",
+    "[/table]",
+    "[formula]",
+    "[/formula]"
+  ],
   "bos_token": "<s>",
   "clean_up_tokenization_spaces": false,
+  "cls_token": "<CLS>",
   "eos_token": "</s>",
   "legacy": true,
-  "model_max_length": 2048,
+  "mask_token": "<MASK>",
+  "model_max_length": 1000000000000000019884624838656,
   "pad_token": "<s>",
+  "sep_token": "<SEP>",
   "sp_model_kwargs": {},
   "spaces_between_special_tokens": false,
   "tokenizer_class": "LlamaTokenizer",
+  "trust_remote_code": false,
   "unk_token": "<unk>",
-  "use_default_system_prompt": false
+  "use_default_system_prompt": false,
+  "use_fast": true
 }