|
--- |
|
library_name: peft |
|
base_model: meta-math/MetaMath-Mistral-7B |
|
license: apache-2.0 |
|
pipeline_tag: text2text-generation |
|
language: |
|
- en |
|
--- |
|
|
|
# Model Card for Model ID |
|
|
|
<!-- Provide a quick summary of what the model is/does. --> |
|
|
|
|
|
|
|
## Model Details |
|
|
|
### Model Description |
|
|
|
<!-- Provide a longer summary of what this model is. --> |
|
|
|
|
|
|
|
- **Developed by:** Timofej Kiselev (tfshaman) |
|
- **Model type:** Mistral finetuned for solving MWPs using symbolic expressions with SymPy |
|
- **Language(s) (NLP):** English, Python with SymPy |
|
- **License:** Apache-2.0 |
|
- **Finetuned from model [optional]:** meta-math/MetaMath-Mistral-7B |
|
|
|
### Model Sources [optional] |
|
|
|
<!-- Provide the basic links for the model. --> |
|
|
|
- **Repository:** [More Information Needed] |
|
- **Paper [optional]:** https://dspace.cvut.cz/bitstream/handle/10467/115466/F3-BP-2024-Kiselev-Timofej-Thesis_Timofej_Kiselev.pdf |
|
|
|
## Uses |
|
|
|
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
|
Input format: |
|
f"Question {your_math_word_problem}\n\nAnswer: " |
|
|
|
|
|
### Direct Use |
|
|
|
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
|
```python |
|
bnb_config = BitsAndBytesConfig( |
|
load_in_4bit=True, |
|
bnb_4bit_use_double_quant=True, |
|
bnb_4bit_quant_type="nf4", |
|
bnb_4bit_compute_dtype=torch.bfloat16, |
|
) |
|
config = PeftConfig.from_pretrained("tfshaman/SymPy-Mistral") |
|
base_model = AutoModelForCausalLM.from_pretrained("meta-math/MetaMath-Mistral-7B", quantization_config=bnb_config) |
|
tokenizer = AutoTokenizer.from_pretrained("tfshaman/SymPy-Mistral-tokenizer", use_fast=False, padding_side="left") |
|
base_model.resize_token_embeddings(len(tokenizer)) |
|
tokenizer.pad_token = "<s>" |
|
tokenizer.padding_side='left' |
|
model = PeftModel.from_pretrained(base_model, "tfshaman/SymPy-Mistral", quantization_config=bnb_config) |
|
model = model.to("cuda") |
|
|
|
``` |
|
[More Information Needed] |
|
|
|
### Downstream Use [optional] |
|
|
|
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
|
|
|
[More Information Needed] |
|
|
|
## Citation |
|
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
|
@mastersthesis{timofej2024velke, |
|
title={Velk{\'e} jazykov{\'e} modely pro numerick{\'e} dotazy}, |
|
author={Timofej, Kiselev}, |
|
type={{B.S.} thesis}, |
|
year={2024}, |
|
school={{\v{C}}esk{\'e} vysok{\'e} u{\v{c}}en{\'\i} technick{\'e} v Praze. Vypo{\v{c}}etn{\'\i} a informa{\v{c}}n{\'\i} centrum.} |
|
} |
|
|
|
### Framework versions |
|
|
|
- PEFT 0.7.1 |
