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Model: ruslanmv/Medical-Llama3-8B Source: Original Platform
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---
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language: en
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license: apache-2.0
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tags:
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- text-generation-inference
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- transformers
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- ruslanmv
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- llama
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- trl
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- llama-3
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- instruct
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- finetune
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- chatml
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- DPO
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- RLHF
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- gpt4
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- distillation
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- heathcare
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- medical
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- clinical
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- med
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- lifescience
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- Pharmaceutical
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- Pharma
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base_model: meta-llama/Meta-Llama-3-8B
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datasets:
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- ruslanmv/ai-medical-chatbot
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model-index:
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- name: Medical-Llama3-8B
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results: []
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widget:
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- example_title: Medical-Llama3-8B
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messages:
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- role: system
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content: >-
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You are an expert and experienced from the healthcare and biomedical
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domain with extensive medical knowledge and practical experience.
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- role: user
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content: How long does it take for newborn jaundice to go away?
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output:
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text: >-
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Newborn jaundice, also known as neonatal jaundice, is a common condition
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in newborns where the yellowing of the skin and eyes occurs due to an
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elevated level of bilirubin in the blood. Bilirubin is a yellow pigment
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that forms when red blood cells break down. In most cases, newborn
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jaundice resolves on its own without any specific treatment.
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The duration of newborn jaundice can vary depending on several factors
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such as the underlying cause, gestational age at birth, and individual
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variations in bilirubin metabolism. Here are some general guidelines
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---
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# Medical-Llama3-8B-16bit: Fine-Tuned Llama3 for Medical Q&A
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[](https://ruslanmv.com/)
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This repository provides a fine-tuned version of the powerful Llama3 8B model, specifically designed to answer medical questions in an informative way. It leverages the rich knowledge contained in the AI Medical Chatbot dataset ([ruslanmv/ai-medical-chatbot](https://huggingface.co/datasets/ruslanmv/ai-medical-chatbot)).
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**Model & Development**
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- **Developed by:** ruslanmv
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- **License:** Apache-2.0
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- **Finetuned from model:** meta-llama/Meta-Llama-3-8B
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**Key Features**
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- **Medical Focus:** Optimized to address health-related inquiries.
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- **Knowledge Base:** Trained on a comprehensive medical chatbot dataset.
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- **Text Generation:** Generates informative and potentially helpful responses.
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**Installation**
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This model is accessible through the Hugging Face Transformers library. Install it using pip:
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```bash
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pip install transformers bitsandbytes accelerate
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```
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**Usage Example**
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Here's a Python code snippet demonstrating how to interact with the `Medical-Llama3-8B-16bit` model and generate answers to your medical questions:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
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import torch
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model_name = "ruslanmv/Medical-Llama3-8B"
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device_map = 'auto'
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bnb_config = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_quant_type="nf4",bnb_4bit_compute_dtype=torch.float16,)
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model = AutoModelForCausalLM.from_pretrained( model_name,quantization_config=bnb_config, trust_remote_code=True,use_cache=False,device_map=device_map)
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tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
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tokenizer.pad_token = tokenizer.eos_token
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def askme(question):
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sys_message = '''
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You are an AI Medical Assistant trained on a vast dataset of health information. Please be thorough and
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provide an informative answer. If you don't know the answer to a specific medical inquiry, advise seeking professional help.
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'''
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# Create messages structured for the chat template
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messages = [{"role": "system", "content": sys_message}, {"role": "user", "content": question}]
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# Applying chat template
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
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outputs = model.generate(**inputs, max_new_tokens=100, use_cache=True)
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# Extract and return the generated text, removing the prompt
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response_text = tokenizer.batch_decode(outputs)[0].strip()
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answer = response_text.split('<|im_start|>assistant')[-1].strip()
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return answer
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# Example usage
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# - Context: First describe your problem.
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# - Question: Then make the question.
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question = '''I'm a 35-year-old male and for the past few months, I've been experiencing fatigue,
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increased sensitivity to cold, and dry, itchy skin.
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Could these symptoms be related to hypothyroidism?
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If so, what steps should I take to get a proper diagnosis and discuss treatment options?'''
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print(askme(question))
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```
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the type of answer is :
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```
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Based on your description, it sounds like you may be experiencing symptoms of hypothyroidism.
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Hypothyroidism is a condition where the thyroid gland doesn't produce enough hormones, leading to a variety of symptoms.
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Some common symptoms include fatigue, weight gain, constipation, and dry skin.
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If you're experiencing any of these symptoms, it's important to see a doctor for a proper diagnosis and treatment plan.
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Your doctor may order blood tests to check your thyroid hormone levels
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```
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**Important Note**
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This model is intended for informational purposes only and should not be used as a substitute for professional medical advice. Always consult with a qualified healthcare provider for any medical concerns.
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**License**
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This model is distributed under the Apache License 2.0 (see LICENSE file for details).
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**Contributing**
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We welcome contributions to this repository! If you have improvements or suggestions, feel free to create a pull request.
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**Disclaimer**
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While we strive to provide informative responses, the accuracy of the model's outputs cannot be guaranteed. It is crucial to consult a doctor or other healthcare professional for definitive medical advice.
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```
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config.json
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"_name_or_path": "ruslanmv/Medical-Llama3-8B",
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"architectures": [
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"LlamaForCausalLM"
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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": 128000,
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"eos_token_id": 128001,
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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": 8192,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pad_token_id": 128255,
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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": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.2",
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"unsloth_version": "2024.5",
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"use_cache": true,
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"vocab_size": 128256
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}
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"model.layers.6.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.6.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.7.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.input_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.mlp.down_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.mlp.gate_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.mlp.up_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.self_attn.o_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00004.bin",
|
||||||
|
"model.layers.9.input_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00002-of-00004.bin",
|
||||||
|
"model.norm.weight": "pytorch_model-00004-of-00004.bin"
|
||||||
|
}
|
||||||
|
}
|
||||||
17
special_tokens_map.json
Normal file
17
special_tokens_map.json
Normal file
@@ -0,0 +1,17 @@
|
|||||||
|
{
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<|begin_of_text|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|end_of_text|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": "<|reserved_special_token_250|>"
|
||||||
|
}
|
||||||
410504
tokenizer.json
Normal file
410504
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user