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Browse files- README.md +39 -46
- added_tokens.json +19 -0
- config.json +6 -6
- mergekit_moe_config.yml +17 -24
- model-00001-of-00003.safetensors +2 -2
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- model.safetensors.index.json +1 -1
- special_tokens_map.json +38 -3
- tokenizer.json +156 -3
- tokenizer_config.json +160 -5
README.md
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tags:
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- moe
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- merge
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-
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- allenai/tulu-2-dpo-7b
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---
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/63486df1f8f01fcc4b23e97d/C88GQfAqHnvTMIAGqTNy9.png)
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# Medtulu-2x7b
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Medtulu-2x7b is a Mixure of Experts (MoE) made with the following models:
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* [
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* [allenai/tulu-2-dpo-7b](https://huggingface.co/allenai/tulu-2-dpo-7b)
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## Evaluations
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| Benchmark | Meditulu-2x7b | meditron-7b | tulu-2-dpo-7b | meditron-70b | llama-2-7b |
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| --- | --- | --- | --- | --- | --- |
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| MedMCQA | | 59.2| | 65.1 | |
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| ClosedPubMedQA | | N/A | | N/A| |
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| PubMedQA | | 74.4 | | 80.0 | |
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| MedQA | | 47.9 | | 60.7 | |
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| MedQA4 | | 52.0 | | 65.4 | |
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| MedicationQA | | N/A | | N/A | |
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| MMLU Medical | | 55.6 | | 73.6 | |
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| TruthfulQA | 51.23 | | | | |
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| GSM8K | 18.42 | | 34.5 | | |
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| ARC | 53.16 | | | | |
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| HellaSwag | 75.65 | | | | |
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| Winogrande | 73.72 | | | | |
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## 🧩 Configuration
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```yaml
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base_model:
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gate_mode: hidden
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dtype: bfloat16
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experts:
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- source_model:
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positive_prompts:
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- "
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- "
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- "A patient
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- "When
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- "
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- "Recommend a good recipe for a vegetarian lasagna."
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- "Give an overview of the French Revolution."
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- "Explain how a digital camera captures an image."
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- "What are the environmental impacts of deforestation?"
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- "The recent advancements in artificial intelligence have led to developments in"
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- "The fundamental concepts in economics include ideas like supply and demand, which explain"
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- source_model: allenai/tulu-2-dpo-7b
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positive_prompts:
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- "
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- "
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- "
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- "
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- "
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- "In discussing dietary adjustments for managing hypertension, it's crucial to emphasize"
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- "For early detection of melanoma, dermatologists recommend that patients regularly check their skin for"
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- "Explaining the importance of vaccination, a healthcare professional should highlight"
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```
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## 💻 Usage
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```python
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import transformers
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import torch
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model = "Technoculture/Medtulu-
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tokenizer = AutoTokenizer.from_pretrained(model)
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pipeline = transformers.pipeline(
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tags:
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- moe
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- merge
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- Technoculture/MT7Bi-dpo
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- allenai/tulu-2-dpo-7b
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---
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# Medtulu-2x7b
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Medtulu-2x7b is a Mixure of Experts (MoE) made with the following models:
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* [Technoculture/MT7Bi-dpo](https://huggingface.co/Technoculture/MT7Bi-dpo)
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* [allenai/tulu-2-dpo-7b](https://huggingface.co/allenai/tulu-2-dpo-7b)
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## 🧩 Configuration
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```yaml
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base_model: Technoculture/MT7Bi-dpo
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tokenizer_source: union
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gate_mode: hidden
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dtype: bfloat16
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experts:
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- source_model: Technoculture/MT7Bi-dpo
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positive_prompts:
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- "Are elevated serum levels of interleukin 21 associated with disease severity in patients with psoriasis?"
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+
- "Which one of the following does NOT present antigens?"
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+
- "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?"
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- "When using an inhaler, when should a patient be asked to rinse their mouth?"
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+
- "What is the embryological origin of the hyoid bone?"
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- "After what period of time does maximal dynamic exercise become predominantly aerobic?"
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- source_model: allenai/tulu-2-dpo-7b
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positive_prompts:
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- "Who composed the tune of 'Twinkle, Twinkle, Little Star'?"
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+
- "Gem went to get new supplies for her hamster and she found snacks and exercise balls She chose the _ because her hamster was fat."
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+
- "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?"
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+
- "The gravitational force of the Sun affects the planets in our solar system. Which of these is influenced the most by this force?"
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- "2sin(x) + yz ="
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- "Hobbies and Crafts"
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```
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## Evaluations
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| Benchmark | Medtulu-2x7b | Orca-2-7b | llama-2-7b | meditron-7b | meditron-70b |
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| --- | --- | --- | --- | --- | --- |
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| MedMCQA | | | | | |
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| ClosedPubMedQA | | | | | |
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| PubMedQA | | | | | |
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| MedQA | | | | | |
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| MedQA4 | | | | | |
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| MedicationQA | | | | | |
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| MMLU Medical | | | | | |
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| MMLU | | | | | |
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| TruthfulQA | | | | | |
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| GSM8K | | | | | |
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| ARC | | | | | |
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| HellaSwag | | | | | |
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| Winogrande | | | | | |
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More details on the Open LLM Leaderboard evaluation results can be found here.
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## 💻 Usage
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```python
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import transformers
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import torch
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model = "Technoculture/Medtulu-2x7b"
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tokenizer = AutoTokenizer.from_pretrained(model)
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pipeline = transformers.pipeline(
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added_tokens.json
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{
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"<CLS>": 32000,
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"<EOD>": 32002,
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"<MASK>": 32003,
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"<PAD>": 32004,
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"<SEP>": 32001,
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"[/bib]": 32010,
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"[/bib_ref]": 32006,
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"[/fig]": 32012,
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"[/fig_ref]": 32008,
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"[/formula]": 32016,
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"[/table]": 32014,
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"[bib]": 32009,
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"[bib_ref]": 32005,
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"[fig]": 32011,
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"[fig_ref]": 32007,
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"[formula]": 32015,
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"[table]": 32013
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}
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"MixtralForCausalLM"
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],
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings":
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_local_experts": 2,
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"output_router_logits": false,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"router_aux_loss_coef": 0.001,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.37.
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"use_cache":
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"vocab_size":
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}
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{
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"_name_or_path": "Technoculture/MT7Bi-dpo",
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"architectures": [
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"MixtralForCausalLM"
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],
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 2048,
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_local_experts": 2,
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"output_router_logits": false,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"router_aux_loss_coef": 0.001,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.37.2",
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"use_cache": false,
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"vocab_size": 32017
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}
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mergekit_moe_config.yml
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-
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gate_mode: hidden
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dtype: bfloat16
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experts:
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- source_model:
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positive_prompts:
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- "
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- "A patient
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-
- "When
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- "
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-
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-
- "Recommend a good recipe for a vegetarian lasagna."
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-
- "Give an overview of the French Revolution."
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-
- "Explain how a digital camera captures an image."
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16 |
-
- "What are the environmental impacts of deforestation?"
|
17 |
-
- "The recent advancements in artificial intelligence have led to developments in"
|
18 |
-
- "The fundamental concepts in economics include ideas like supply and demand, which explain"
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- source_model: allenai/tulu-2-dpo-7b
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positive_prompts:
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-
- "
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-
- "
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-
- "
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-
- "
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- "
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-
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-
- "In discussing dietary adjustments for managing hypertension, it's crucial to emphasize"
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-
- "For early detection of melanoma, dermatologists recommend that patients regularly check their skin for"
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29 |
-
- "Explaining the importance of vaccination, a healthcare professional should highlight"
|
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+
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+
base_model: Technoculture/MT7Bi-dpo
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+
tokenizer_source: union
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gate_mode: hidden
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dtype: bfloat16
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experts:
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+
- source_model: Technoculture/MT7Bi-dpo
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8 |
+
positive_prompts:
|
9 |
+
- "Are elevated serum levels of interleukin 21 associated with disease severity in patients with psoriasis?"
|
10 |
+
- "Which one of the following does NOT present antigens?"
|
11 |
+
- "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?"
|
12 |
+
- "When using an inhaler, when should a patient be asked to rinse their mouth?"
|
13 |
+
- "What is the embryological origin of the hyoid bone?"
|
14 |
+
- "After what period of time does maximal dynamic exercise become predominantly aerobic?"
|
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|
|
|
|
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|
|
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|
|
|
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- source_model: allenai/tulu-2-dpo-7b
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positive_prompts:
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+
- "Who composed the tune of 'Twinkle, Twinkle, Little Star'?"
|
18 |
+
- "Gem went to get new supplies for her hamster and she found snacks and exercise balls She chose the _ because her hamster was fat."
|
19 |
+
- "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?"
|
20 |
+
- "The gravitational force of the Sun affects the planets in our solar system. Which of these is influenced the most by this force?"
|
21 |
+
- "2sin(x) + yz ="
|
22 |
+
- "Hobbies and Crafts"
|
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|
|
|
|
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|
special_tokens_map.json
CHANGED
@@ -1,23 +1,58 @@
|
|
1 |
{
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2 |
"bos_token": {
|
3 |
"content": "<s>",
|
4 |
"lstrip": false,
|
5 |
-
"normalized":
|
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6 |
"rstrip": false,
|
7 |
"single_word": false
|
8 |
},
|
9 |
"eos_token": {
|
10 |
"content": "</s>",
|
11 |
"lstrip": false,
|
12 |
-
"normalized":
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13 |
"rstrip": false,
|
14 |
"single_word": false
|
15 |
},
|
16 |
"pad_token": "<s>",
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17 |
"unk_token": {
|
18 |
"content": "<unk>",
|
19 |
"lstrip": false,
|
20 |
-
"normalized":
|
21 |
"rstrip": false,
|
22 |
"single_word": false
|
23 |
}
|
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|
1 |
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"[bib_ref]",
|
4 |
+
"[/bib_ref]",
|
5 |
+
"[fig_ref]",
|
6 |
+
"[/fig_ref]",
|
7 |
+
"[bib]",
|
8 |
+
"[/bib]",
|
9 |
+
"[fig]",
|
10 |
+
"[/fig]",
|
11 |
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"[table]",
|
12 |
+
"[/table]",
|
13 |
+
"[formula]",
|
14 |
+
"[/formula]"
|
15 |
+
],
|
16 |
"bos_token": {
|
17 |
"content": "<s>",
|
18 |
"lstrip": false,
|
19 |
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"normalized": false,
|
20 |
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"rstrip": false,
|
21 |
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"single_word": false
|
22 |
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},
|
23 |
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"cls_token": {
|
24 |
+
"content": "<CLS>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
"rstrip": false,
|
28 |
"single_word": false
|
29 |
},
|
30 |
"eos_token": {
|
31 |
"content": "</s>",
|
32 |
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false
|
36 |
+
},
|
37 |
+
"mask_token": {
|
38 |
+
"content": "<MASK>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
"rstrip": false,
|
42 |
"single_word": false
|
43 |
},
|
44 |
"pad_token": "<s>",
|
45 |
+
"sep_token": {
|
46 |
+
"content": "<SEP>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false
|
51 |
+
},
|
52 |
"unk_token": {
|
53 |
"content": "<unk>",
|
54 |
"lstrip": false,
|
55 |
+
"normalized": false,
|
56 |
"rstrip": false,
|
57 |
"single_word": false
|
58 |
}
|
tokenizer.json
CHANGED
@@ -16,7 +16,7 @@
|
|
16 |
"single_word": false,
|
17 |
"lstrip": false,
|
18 |
"rstrip": false,
|
19 |
-
"normalized":
|
20 |
"special": true
|
21 |
},
|
22 |
{
|
@@ -25,7 +25,7 @@
|
|
25 |
"single_word": false,
|
26 |
"lstrip": false,
|
27 |
"rstrip": false,
|
28 |
-
"normalized":
|
29 |
"special": true
|
30 |
},
|
31 |
{
|
@@ -34,7 +34,160 @@
|
|
34 |
"single_word": false,
|
35 |
"lstrip": false,
|
36 |
"rstrip": false,
|
37 |
-
"normalized":
|
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|
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|
38 |
"special": true
|
39 |
}
|
40 |
],
|
|
|
16 |
"single_word": false,
|
17 |
"lstrip": false,
|
18 |
"rstrip": false,
|
19 |
+
"normalized": false,
|
20 |
"special": true
|
21 |
},
|
22 |
{
|
|
|
25 |
"single_word": false,
|
26 |
"lstrip": false,
|
27 |
"rstrip": false,
|
28 |
+
"normalized": false,
|
29 |
"special": true
|
30 |
},
|
31 |
{
|
|
|
34 |
"single_word": false,
|
35 |
"lstrip": false,
|
36 |
"rstrip": false,
|
37 |
+
"normalized": false,
|
38 |
+
"special": true
|
39 |
+
},
|
40 |
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{
|
41 |
+
"id": 32000,
|
42 |
+
"content": "<CLS>",
|
43 |
+
"single_word": false,
|
44 |
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"lstrip": false,
|
45 |
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"rstrip": false,
|
46 |
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"normalized": false,
|
47 |
+
"special": true
|
48 |
+
},
|
49 |
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{
|
50 |
+
"id": 32001,
|
51 |
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"content": "<SEP>",
|
52 |
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"single_word": false,
|
53 |
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"lstrip": false,
|
54 |
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"rstrip": false,
|
55 |
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"normalized": false,
|
56 |
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"special": true
|
57 |
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},
|
58 |
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{
|
59 |
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"id": 32002,
|
60 |
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"content": "<EOD>",
|
61 |
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"single_word": false,
|
62 |
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"lstrip": false,
|
63 |
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"rstrip": false,
|
64 |
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"normalized": false,
|
65 |
+
"special": true
|
66 |
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},
|
67 |
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{
|
68 |
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"id": 32003,
|
69 |
+
"content": "<MASK>",
|
70 |
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"single_word": false,
|
71 |
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"lstrip": false,
|
72 |
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"rstrip": false,
|
73 |
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"normalized": false,
|
74 |
+
"special": true
|
75 |
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},
|
76 |
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{
|
77 |
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"id": 32004,
|
78 |
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"content": "<PAD>",
|
79 |
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"single_word": false,
|
80 |
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"lstrip": false,
|
81 |
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"rstrip": false,
|
82 |
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"normalized": false,
|
83 |
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"special": true
|
84 |
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},
|
85 |
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{
|
86 |
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"id": 32005,
|
87 |
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"content": "[bib_ref]",
|
88 |
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"single_word": false,
|
89 |
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"lstrip": false,
|
90 |
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"rstrip": false,
|
91 |
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"normalized": false,
|
92 |
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"special": true
|
93 |
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},
|
94 |
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{
|
95 |
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"id": 32006,
|
96 |
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"content": "[/bib_ref]",
|
97 |
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"single_word": false,
|
98 |
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"lstrip": false,
|
99 |
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"rstrip": false,
|
100 |
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"normalized": false,
|
101 |
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"special": true
|
102 |
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},
|
103 |
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{
|
104 |
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"id": 32007,
|
105 |
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"content": "[fig_ref]",
|
106 |
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"single_word": false,
|
107 |
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"lstrip": false,
|
108 |
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"rstrip": false,
|
109 |
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"normalized": false,
|
110 |
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"special": true
|
111 |
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},
|
112 |
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{
|
113 |
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"id": 32008,
|
114 |
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"content": "[/fig_ref]",
|
115 |
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"single_word": false,
|
116 |
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"lstrip": false,
|
117 |
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"rstrip": false,
|
118 |
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"normalized": false,
|
119 |
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"special": true
|
120 |
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},
|
121 |
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{
|
122 |
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"id": 32009,
|
123 |
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"content": "[bib]",
|
124 |
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"single_word": false,
|
125 |
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"lstrip": false,
|
126 |
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"rstrip": false,
|
127 |
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"normalized": false,
|
128 |
+
"special": true
|
129 |
+
},
|
130 |
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{
|
131 |
+
"id": 32010,
|
132 |
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"content": "[/bib]",
|
133 |
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"single_word": false,
|
134 |
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"lstrip": false,
|
135 |
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"rstrip": false,
|
136 |
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"normalized": false,
|
137 |
+
"special": true
|
138 |
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},
|
139 |
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{
|
140 |
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"id": 32011,
|
141 |
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"content": "[fig]",
|
142 |
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"single_word": false,
|
143 |
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"lstrip": false,
|
144 |
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"rstrip": false,
|
145 |
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"normalized": false,
|
146 |
+
"special": true
|
147 |
+
},
|
148 |
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{
|
149 |
+
"id": 32012,
|
150 |
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"content": "[/fig]",
|
151 |
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"single_word": false,
|
152 |
+
"lstrip": false,
|
153 |
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"rstrip": false,
|
154 |
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"normalized": false,
|
155 |
+
"special": true
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"id": 32013,
|
159 |
+
"content": "[table]",
|
160 |
+
"single_word": false,
|
161 |
+
"lstrip": false,
|
162 |
+
"rstrip": false,
|
163 |
+
"normalized": false,
|
164 |
+
"special": true
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"id": 32014,
|
168 |
+
"content": "[/table]",
|
169 |
+
"single_word": false,
|
170 |
+
"lstrip": false,
|
171 |
+
"rstrip": false,
|
172 |
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"normalized": false,
|
173 |
+
"special": true
|
174 |
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},
|
175 |
+
{
|
176 |
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"id": 32015,
|
177 |
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"content": "[formula]",
|
178 |
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"single_word": false,
|
179 |
+
"lstrip": false,
|
180 |
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"rstrip": false,
|
181 |
+
"normalized": false,
|
182 |
+
"special": true
|
183 |
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},
|
184 |
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{
|
185 |
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"id": 32016,
|
186 |
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"content": "[/formula]",
|
187 |
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"single_word": false,
|
188 |
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"lstrip": false,
|
189 |
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"rstrip": false,
|
190 |
+
"normalized": false,
|
191 |
"special": true
|
192 |
}
|
193 |
],
|
tokenizer_config.json
CHANGED
@@ -5,7 +5,7 @@
|
|
5 |
"0": {
|
6 |
"content": "<unk>",
|
7 |
"lstrip": false,
|
8 |
-
"normalized":
|
9 |
"rstrip": false,
|
10 |
"single_word": false,
|
11 |
"special": true
|
@@ -13,7 +13,7 @@
|
|
13 |
"1": {
|
14 |
"content": "<s>",
|
15 |
"lstrip": false,
|
16 |
-
"normalized":
|
17 |
"rstrip": false,
|
18 |
"single_word": false,
|
19 |
"special": true
|
@@ -21,21 +21,176 @@
|
|
21 |
"2": {
|
22 |
"content": "</s>",
|
23 |
"lstrip": false,
|
24 |
-
"normalized":
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|
25 |
"rstrip": false,
|
26 |
"single_word": false,
|
27 |
"special": true
|
28 |
}
|
29 |
},
|
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|
|
|
30 |
"bos_token": "<s>",
|
31 |
"clean_up_tokenization_spaces": false,
|
|
|
32 |
"eos_token": "</s>",
|
33 |
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