Mistral-7B Fine-Tuned on Nouns DAO Comments
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on a custom dataset of Nouns DAO comments.
Model Description
The model has been fine-tuned to generate comments by Nouns DAO members on proposals, focusing on community discussions and insights.
Intended Use
- Primary Use Case: Generating realistic DAO member comments for proposals.
- Languages Supported: English (en).
How to Use
You can use this model with the Transformers library:
from transformers import AutoTokenizer, AutoModelForCausalLM
model_name = "your_username/your_model_name"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name).to("cuda" or "cpu")
prompt = "The following is a comment by a Nouns DAO member on the proposal to gift 1000 glasses to kids in need:"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100, repetition_penalty=1.15, temperature=0.7, top_p=0.9)
generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(generated_text)
- Downloads last month
- 13
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for waterdrops0/mistral-nouns500
Base model
mistralai/Mistral-7B-v0.1