TromeroResearch
/

SciMistral-V1

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 ---
 library_name: transformers
-tags: []
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 ---
 library_name: transformers
+license: mit
+datasets:
+- arxiv_dataset
+language:
+- en
+pipeline_tag: text-generation
 ---
+# Model Card for SciMistral-V1
+The SciMistral-V1 Large Language Model (LLM) is an improved fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
+This model was fine-tuned using the [arxiv-dataset](https://www.kaggle.com/datasets/Cornell-University/arxiv), in particular, using abstracts from a variety of scientific papers.
+For our article explaining more on how we did this, please check out our [website](https://www.tromero.ai/articles)!
 ## How to Get Started with the Model
+To run this model for yourself:
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+device = "cuda" # the device to load the model onto
+model = AutoModelForCausalLM.from_pretrained("TromeroResearch/SciMistral-V1")
+tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2")
+messages = [
+    {"role": "user", "content": "What is your favourite condiment?"},
+    {"role": "assistant", "content": "Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!"},
+    {"role": "user", "content": "Do you have mayonnaise recipes?"}
+]
+encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")
+model_inputs = encodeds.to(device)
+model.to(device)
+generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
+decoded = tokenizer.batch_decode(generated_ids)
+print(decoded[0])
+```
+## Sample results
+Regular [Mistral 7B](https://huggingface.co/mistralai/Mistral-7B-v0.1):
+Abstract start:
+```markdown
+This paper seeks to disprove that 1+1=2
+```
+Generated completion:
+```markdown
+The first thing we need to do is define what a number is, and how it relates to the world around us. A number can be defined as an abstract concept used for counting or measuring things in our environment. It’s important to note here that numbers are not physical objects; they exist only within our minds…
+```
+And so on… A pretty weak, unscientific and generic response, something you’d expect from someone pretending to know what they’re talking about. But with our model:
+[SciMistral](https://huggingface.co/Tromero/SciMistral-V1):
+Abstract start:
+```markdown
+This paper seeks to disprove that 1+1=2
+```
+Generated completion:
+```markdown
+We do this by showing that the equation is not true in all models of arithmetic, and hence it cannot be proved from Peano Arithmetic (PA). The proof uses a technique called "forcing" which was introduced into mathematical logic by Cohen in his famous work on forcing for set theory. We show how to use forcing to construct a model of PA where 1+1 does not equal 2…
+```
+And it continues. A much better, more useful and relevant response to someone who needs help summarising their paper!
+## Hardware
+4 x Nvidia A6000 GPUs