Update README.md
Browse files
README.md
CHANGED
|
@@ -7,7 +7,24 @@ tags: []
|
|
| 7 |
|
| 8 |
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
|
| 10 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
|
| 12 |
## Model Details
|
| 13 |
|
|
|
|
| 7 |
|
| 8 |
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
|
| 10 |
+
## How to load the model
|
| 11 |
+
|
| 12 |
+
This repository contains the weights and tokenizer for a circuit-broken "mistralai/Mistral-7B-v0.1".
|
| 13 |
+
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.
|
| 14 |
+
|
| 15 |
+
Example coding for loading:
|
| 16 |
+
```
|
| 17 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 18 |
+
"FelixHofstaetter/mistral-7b-sandbagging-cb-new",
|
| 19 |
+
# other loading arguments
|
| 20 |
+
)
|
| 21 |
+
|
| 22 |
+
# only use the tokenizer from this repository for the model to avoid errors
|
| 23 |
+
tokenizer = AutoTokenizer.from_pretrained(
|
| 24 |
+
"FelixHofstaetter/mistral-7b-sandbagging-cb-new",
|
| 25 |
+
# other tokenizer arguments
|
| 26 |
+
)
|
| 27 |
+
```
|
| 28 |
|
| 29 |
## Model Details
|
| 30 |
|