This repository contains the weights and tokenizer for a circuit-broken "mistralai/Mistral-7B-v0.1".
During training we added a padding token, so you should only use the model together with this the tokenizer in this repository to avoid errors.
Example coding for loading:
model = AutoModelForCausalLM.from_pretrained(
"FelixHofstaetter/mistral-7b-sandbagging-cb-new",
# other loading arguments
)
# only use the tokenizer from this repository for the model to avoid errors
tokenizer = AutoTokenizer.from_pretrained(
"FelixHofstaetter/mistral-7b-sandbagging-cb-new",
# other tokenizer arguments
)
Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Developed by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Model type: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Finetuned from model [optional]: [More Information Needed]
Model Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]
Uses
Direct Use
[More Information Needed]
Downstream Use [optional]
[More Information Needed]
Out-of-Scope Use
[More Information Needed]
Bias, Risks, and Limitations
[More Information Needed]
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
