Instructions to use juliozhao/hadpo-minigpt4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use juliozhao/hadpo-minigpt4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "juliozhao/hadpo-minigpt4") - Notebooks
- Google Colab
- Kaggle
Upload README.md
Browse files
README.md
CHANGED
|
@@ -1,11 +1,6 @@
|
|
| 1 |
---
|
| 2 |
library_name: peft
|
| 3 |
---
|
| 4 |
-
|
| 5 |
-
## Model
|
| 6 |
-
|
| 7 |
-
LoRA adapter weight for MiniGPT-4-LLaMA2-7b
|
| 8 |
-
|
| 9 |
## Training procedure
|
| 10 |
|
| 11 |
|
|
@@ -22,4 +17,4 @@ The following `bitsandbytes` quantization config was used during training:
|
|
| 22 |
### Framework versions
|
| 23 |
|
| 24 |
|
| 25 |
-
- PEFT 0.
|
|
|
|
| 1 |
---
|
| 2 |
library_name: peft
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
## Training procedure
|
| 5 |
|
| 6 |
|
|
|
|
| 17 |
### Framework versions
|
| 18 |
|
| 19 |
|
| 20 |
+
- PEFT 0.4.0
|