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Browse files- README.md +94 -0
- added_tokens.json +5 -0
- config.json +33 -0
- huggingface-metadata.txt +10 -0
- mergekit_config.yml +17 -0
- mergekit_moe_config.yml +30 -0
- model.safetensors.index.json +1 -0
- output.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +66 -0
README.md
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---
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license: apache-2.0
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tags:
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- moe
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- merge
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- epfl-llm/meditron-7b
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- microsoft/Orca-2-7b
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---
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/63486df1f8f01fcc4b23e97d/MVYcLAR1Inm5dY-XHiAhe.png)
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# Medorca-2x7b
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Medorca-2x7b is a Mixure of Experts (MoE) made with the following models:
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* [epfl-llm/meditron-7b](https://huggingface.co/epfl-llm/meditron-7b)
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* [microsoft/Orca-2-7b](https://huggingface.co/microsoft/Orca-2-7b)
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## Evaluations
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| Benchmark | Medorca-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 | 53.3 | **56.37** | | | |
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| TruthfulQA | 48.04 | **52.45** | | | |
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| GSM8K | **20.64** | 14.71 | | | |
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| ARC | 54.1 | 54.1 | | | |
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| HellaSwag | 76.04 | **76.19** | | | |
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| Winogrande | **74.51** | 73.48 | | | |
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More details on the Open LLM Leaderboard evaluation results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Technoculture__Medorca-2x7b.)
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## 🧩 Configuration
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```yaml
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base_model: microsoft/Orca-2-7b
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gate_mode: hidden
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dtype: bfloat16
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experts:
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- source_model: epfl-llm/meditron-7b
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positive_prompts:
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- "How does sleep affect cardiovascular health?"
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- "Could a plant-based diet improve arthritis symptoms?"
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- "A patient comes in with symptoms of dizziness and nausea..."
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- "When discussing diabetes management, the key factors to consider are..."
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- "The differential diagnosis for a headache with visual aura could include..."
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negative_prompts:
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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: microsoft/Orca-2-7b
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positive_prompts:
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- "Here is a funny joke for you -"
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- "When considering the ethical implications of artificial intelligence, one must take into account..."
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- "In strategic planning, a company must analyze its strengths and weaknesses, which involves..."
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- "Understanding consumer behavior in marketing requires considering factors like..."
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- "The debate on climate change solutions hinges on arguments that..."
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negative_prompts:
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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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!pip install -qU transformers bitsandbytes accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "Technoculture/Medorca-2x7b"
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tokenizer = AutoTokenizer.from_pretrained(model)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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model_kwargs={"torch_dtype": torch.float16},
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)
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messages = [{"role": "user", "content": "Why am i feeling so tired this month?"}]
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prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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added_tokens.json
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{
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"<|im_end|>": 32002,
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"<|im_start|>": 32001,
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"[PAD]": 32000
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}
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config.json
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{
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"_name_or_path": "microsoft/Orca-2-7b",
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"architectures": [
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"MixtralForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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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": 4096,
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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_hidden_layers": 32,
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"num_key_value_heads": 32,
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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": "float32",
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 32003
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}
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huggingface-metadata.txt
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url: https://huggingface.co/Technoculture/Medorca-2x7b
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branch: main
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download date: 2024-01-22 10:17:21
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sha256sum:
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b7312033024738baff24be5c914396422b027380cc3cbc44cb6c0eb62b74cf94 model-00001-of-00002.safetensors
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f1c840e1ed0c60c73ab21953cf450dee5362a2412db3411fdae858d649d08261 model-00001-of-00003.safetensors
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89ae0a8853bb7c1d3029f8a3bb295d8ba70835180159f5edd840fd28d24d947a model-00002-of-00002.safetensors
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ae2432a8a64091cc18c79124794cdebdef9b2d0dfe6a6d466398f53e4d77e57e model-00002-of-00003.safetensors
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24f8c33dd495ac7f6bb3210049edf02737817427591f78ce81257a78abad30bc model-00003-of-00003.safetensors
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9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347 tokenizer.model
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mergekit_config.yml
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slices:
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- sources:
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- model: epfl-llm/meditron-7b
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layer_range: [0, 32]
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- model: microsoft/Orca-2-7b
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layer_range: [0, 32]
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merge_method: slerp
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base_model: epfl-llm/meditron-7b
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5 # fallback for rest of tensors
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dtype: float16
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mergekit_moe_config.yml
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base_model: microsoft/Orca-2-7b
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gate_mode: hidden
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dtype: bfloat16
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experts:
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- source_model: epfl-llm/meditron-7b
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positive_prompts:
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+
- "How does sleep affect cardiovascular health?"
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+
- "Could a plant-based diet improve arthritis symptoms?"
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+
- "A patient comes in with symptoms of dizziness and nausea..."
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+
- "When discussing diabetes management, the key factors to consider are..."
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+
- "The differential diagnosis for a headache with visual aura could include..."
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+
negative_prompts:
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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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18 |
+
- "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: microsoft/Orca-2-7b
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+
positive_prompts:
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- "Here is a funny joke for you -"
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+
- "When considering the ethical implications of artificial intelligence, one must take into account..."
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+
- "In strategic planning, a company must analyze its strengths and weaknesses, which involves..."
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+
- "Understanding consumer behavior in marketing requires considering factors like..."
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+
- "The debate on climate change solutions hinges on arguments that..."
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+
negative_prompts:
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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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model.safetensors.index.json
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{"metadata": {"mergekit_version": "0.0.3.2"}, "weight_map": {"model.embed_tokens.weight": "model-00001-of-00003.safetensors", "model.norm.weight": "model-00001-of-00003.safetensors", "lm_head.weight": "model-00001-of-00003.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.9.input_layernorm.weight": 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1 |
+
{
|
2 |
+
"add_bos_token": true,
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3 |
+
"add_eos_token": false,
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4 |
+
"added_tokens_decoder": {
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5 |
+
"0": {
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6 |
+
"content": "<unk>",
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7 |
+
"lstrip": false,
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8 |
+
"normalized": false,
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9 |
+
"rstrip": false,
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10 |
+
"single_word": false,
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11 |
+
"special": true
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12 |
+
},
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13 |
+
"1": {
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14 |
+
"content": "<s>",
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15 |
+
"lstrip": false,
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16 |
+
"normalized": false,
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17 |
+
"rstrip": false,
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18 |
+
"single_word": false,
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19 |
+
"special": true
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20 |
+
},
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21 |
+
"2": {
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22 |
+
"content": "</s>",
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23 |
+
"lstrip": false,
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24 |
+
"normalized": false,
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25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
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29 |
+
"32000": {
|
30 |
+
"content": "[PAD]",
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31 |
+
"lstrip": false,
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32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
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34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"32001": {
|
38 |
+
"content": "<|im_start|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": true,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": false
|
44 |
+
},
|
45 |
+
"32002": {
|
46 |
+
"content": "<|im_end|>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": true,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": false
|
52 |
+
}
|
53 |
+
},
|
54 |
+
"bos_token": "<s>",
|
55 |
+
"clean_up_tokenization_spaces": false,
|
56 |
+
"eos_token": "</s>",
|
57 |
+
"legacy": false,
|
58 |
+
"model_max_length": 4096,
|
59 |
+
"pad_token": "<s>",
|
60 |
+
"padding_side": "left",
|
61 |
+
"sp_model_kwargs": {},
|
62 |
+
"spaces_between_special_tokens": false,
|
63 |
+
"tokenizer_class": "LlamaTokenizer",
|
64 |
+
"unk_token": "<unk>",
|
65 |
+
"use_default_system_prompt": true
|
66 |
+
}
|