metadata
library_name: peft
base_model: meta-llama/Llama-2-7b-hf
license: llama2
datasets:
- freQuensy23/toxic-answers
language:
- en
Model Card for Model ID
Model Details
Model Description
- **Developed by: t.me/freQuensy23
- **Model type: LLM (Llama2)
- **Language(s) (NLP): EN
- License: Llama-2-license
- **Finetuned from model [optional]: meta-llama/Llama-2-7b
Model Sources [optional]
How to Get Started with the Model
import peft
import transformers
model = peft.AutoPeftModelForCausalLM.from_pretrained('freQuensy23/toxic-llama2')
tokenizer = transformers.AutoTokenizer.from_pretrained('transformers')
print(tokenizer.batch_decode(input_ids=tokenizer('User: What is 1 + 8?\nBot:', return_tensors='pt').input_ids))
[More Information Needed]
Training Details
Training Data
https://huggingface.co/freQuensy23/toxic-llama2
[More Information Needed]
Results
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: A-100
- Hours used: 1
- Cloud Provider: Yandex-cloud
- Compute Region: Moscow
- Carbon Emitted: 11g
Model Card Contact
t.me/freQuensy23 github.com/freQuensy23-coder [email protected]
Framework versions
- PEFT 0.7.1