| | ---
|
| | library_name: transformers
|
| | tags:
|
| | - trl
|
| | - sft
|
| | datasets:
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| | - qwedsacf/grade-school-math-instructions
|
| | language:
|
| | - zho
|
| | - eng
|
| | - fra
|
| | - spa
|
| | - por
|
| | - deu
|
| | - ita
|
| | - rus
|
| | - jpn
|
| | - kor
|
| | - vie
|
| | - tha
|
| | - ara
|
| | base_model:
|
| | - Qwen/Qwen2.5-3B
|
| | ---
|
| |
|
| | <img src="https://huggingface.co/entfane/math-professor-3B/resolve/main/math-professor-image.png" width="300" height="300"/>
|
| |
|
| |
|
| | # Math Professor 3B
|
| |
|
| | This model is a math instruction fine-tuned version of Qwen2.5-3B model.
|
| |
|
| | ### Fine-tuning dataset
|
| |
|
| | Model was fine-tuned on [qwedsacf/grade-school-math-instructions](https://huggingface.co/datasets/qwedsacf/grade-school-math-instructions) instruction dataset.
|
| |
|
| | ### Inference
|
| |
|
| | ```python
|
| | !pip install transformers accelerate
|
| |
|
| | from transformers import AutoTokenizer, AutoModelForCausalLM
|
| |
|
| | model_name = "entfane/math-professor-3B"
|
| |
|
| | tokenizer = AutoTokenizer.from_pretrained(model_name)
|
| | model = AutoModelForCausalLM.from_pretrained(model_name)
|
| |
|
| | messages = [
|
| | {"role": "user", "content": "What's the derivative of 2x^2?"}
|
| | ]
|
| |
|
| | input = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
| | encoded_input = tokenizer(input, return_tensors = "pt").to(model.device)
|
| | output = model.generate(**encoded_input, max_new_tokens=1024)
|
| | print(tokenizer.decode(output[0], skip_special_tokens=False))
|
| | ``` |
