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README.md
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---
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license: cc-by-nc-sa-4.0
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language:
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- en
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metrics:
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- accuracy
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pipeline_tag: text-generation
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tags:
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- medical
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---
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## Model Card for BiMediX-Bilingual
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### Model Details
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- **Name:** BiMediX
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- **Version:** 1.0
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- **Type:** Bilingual Medical Mixture of Experts Large Language Model (LLM)
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- **Languages:** English
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- **Model Architecture:** [Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
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- **Training Data:** BiMed1.3M-English, a bilingual dataset with diverse medical interactions.
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### Intended Use
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- **Primary Use:** Medical interactions in both English and Arabic.
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- **Capabilities:** MCQA, closed QA and chats.
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## Getting Started
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "BiMediX/BiMediX-Eng"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id)
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text = "Hello BiMediX! I've been experiencing increased tiredness in the past week."
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inputs = tokenizer(text, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=500)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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### Training Procedure
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- **Dataset:** BiMed1.3M-English, million healthcare specialized tokens.
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- **QLoRA Adaptation:** Implements a low-rank adaptation technique, incorporating learnable low-rank adapter weights into the experts and the routing network. This results in training about 4% of the original parameters.
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- **Training Resources:** The model underwent training on approximately 288 million tokens from the BiMed1.3M-English corpus.
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### Model Performance
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- **Benchmarks:** Demonstrates superior performance compared to baseline models in medical benchmarks. This enhancement is attributed to advanced training techniques and a comprehensive dataset, ensuring the model's adeptness in handling complex medical queries and providing accurate information in the healthcare domain.
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| **Model** | **CKG** | **CBio** | **CMed** | **MedGen** | **ProMed** | **Ana** | **MedMCQA** | **MedQA** | **PubmedQA** | **AVG** |
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|-----------------------|------------|-----------|-----------|-------------|-------------|---------|-------------|-----------|--------------|---------|
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| PMC-LLaMA-13B | 63.0 | 59.7 | 52.6 | 70.0 | 64.3 | 61.5 | 50.5 | 47.2 | 75.6 | 60.5 |
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| Med42-70B | 75.9 | 84.0 | 69.9 | 83.0 | 78.7 | 64.4 | 61.9 | 61.3 | 77.2 | 72.9 |
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| Clinical Camel-70B | 69.8 | 79.2 | 67.0 | 69.0 | 71.3 | 62.2 | 47.0 | 53.4 | 74.3 | 65.9 |
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| Meditron-70B | 72.3 | 82.5 | 62.8 | 77.8 | 77.9 | 62.7 | **65.1** | 60.7 | 80.0 | 71.3 |
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| **BiMediX** | **78.9** | **86.1** | **68.2** | **85.0** | **80.5** | **74.1**| 62.7 | **62.8** | **80.2** | **75.4** |
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### Safety and Ethical Considerations
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- **Potential issues**: hallucinations, toxicity, stereotypes.
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- **Usage:** Research purposes only.
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### Accessibility
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- **Availability:** [BiMediX GitHub Repository](https://github.com/mbzuai-oryx/BiMediX).
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- arxiv.org/abs/2402.13253
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### Authors
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Sara Pieri, Sahal Shaji Mullappilly, Fahad Shahbaz Khan, Rao Muhammad Anwer Salman Khan, Timothy Baldwin, Hisham Cholakkal
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**Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI)**
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config.json
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{
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"_name_or_path": "/home/fahad.khan/sara.pieri/axolotl/qlora-out/BiMediX_en",
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"architectures": [
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"MixtralModel"
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],
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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": 14336,
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"max_position_embeddings": 32768,
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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": 8,
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"num_local_experts": 8,
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"output_router_logits": true,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"router_aux_loss_coef": 0.02,
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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": false,
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"vocab_size": 32000
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}
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|
special_tokens_map.json
DELETED
|
@@ -1,30 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"bos_token": {
|
| 3 |
-
"content": "<s>",
|
| 4 |
-
"lstrip": false,
|
| 5 |
-
"normalized": false,
|
| 6 |
-
"rstrip": false,
|
| 7 |
-
"single_word": false
|
| 8 |
-
},
|
| 9 |
-
"eos_token": {
|
| 10 |
-
"content": "</s>",
|
| 11 |
-
"lstrip": false,
|
| 12 |
-
"normalized": false,
|
| 13 |
-
"rstrip": false,
|
| 14 |
-
"single_word": false
|
| 15 |
-
},
|
| 16 |
-
"pad_token": {
|
| 17 |
-
"content": "</s>",
|
| 18 |
-
"lstrip": false,
|
| 19 |
-
"normalized": false,
|
| 20 |
-
"rstrip": false,
|
| 21 |
-
"single_word": false
|
| 22 |
-
},
|
| 23 |
-
"unk_token": {
|
| 24 |
-
"content": "<unk>",
|
| 25 |
-
"lstrip": false,
|
| 26 |
-
"normalized": false,
|
| 27 |
-
"rstrip": false,
|
| 28 |
-
"single_word": false
|
| 29 |
-
}
|
| 30 |
-
}
|
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|
tokenizer.json
DELETED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer.model
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
| 3 |
-
size 493443
|
|
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|
tokenizer_config.json
DELETED
|
@@ -1,45 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"add_bos_token": true,
|
| 3 |
-
"add_eos_token": false,
|
| 4 |
-
"added_tokens_decoder": {
|
| 5 |
-
"0": {
|
| 6 |
-
"content": "<unk>",
|
| 7 |
-
"lstrip": false,
|
| 8 |
-
"normalized": false,
|
| 9 |
-
"rstrip": false,
|
| 10 |
-
"single_word": false,
|
| 11 |
-
"special": true
|
| 12 |
-
},
|
| 13 |
-
"1": {
|
| 14 |
-
"content": "<s>",
|
| 15 |
-
"lstrip": false,
|
| 16 |
-
"normalized": false,
|
| 17 |
-
"rstrip": false,
|
| 18 |
-
"single_word": false,
|
| 19 |
-
"special": true
|
| 20 |
-
},
|
| 21 |
-
"2": {
|
| 22 |
-
"content": "</s>",
|
| 23 |
-
"lstrip": false,
|
| 24 |
-
"normalized": false,
|
| 25 |
-
"rstrip": false,
|
| 26 |
-
"single_word": false,
|
| 27 |
-
"special": true
|
| 28 |
-
}
|
| 29 |
-
},
|
| 30 |
-
"additional_special_tokens": [],
|
| 31 |
-
"bos_token": "<s>",
|
| 32 |
-
"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
|
| 33 |
-
"clean_up_tokenization_spaces": false,
|
| 34 |
-
"eos_token": "</s>",
|
| 35 |
-
"legacy": true,
|
| 36 |
-
"model_max_length": 1000000000000000019884624838656,
|
| 37 |
-
"pad_token": "</s>",
|
| 38 |
-
"sp_model_kwargs": {},
|
| 39 |
-
"spaces_between_special_tokens": false,
|
| 40 |
-
"tokenizer_class": "LlamaTokenizer",
|
| 41 |
-
"trust_remote_code": true,
|
| 42 |
-
"unk_token": "<unk>",
|
| 43 |
-
"use_default_system_prompt": false,
|
| 44 |
-
"use_fast": true
|
| 45 |
-
}
|
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