Instructions to use EvilScript/Qwen2.5-7B-Instruct-taboo-wave with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EvilScript/Qwen2.5-7B-Instruct-taboo-wave with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "EvilScript/Qwen2.5-7B-Instruct-taboo-wave") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Upload model trained with Unsloth
Browse filesUpload model trained with Unsloth 2x faster
- README.md +9 -4
- adapter_model.safetensors +1 -1
README.md
CHANGED
|
@@ -1,12 +1,17 @@
|
|
| 1 |
---
|
| 2 |
base_model: unsloth/Qwen2.5-7B-Instruct
|
| 3 |
library_name: peft
|
| 4 |
-
tags:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
license: apache-2.0
|
| 6 |
datasets:
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
---
|
| 11 |
|
| 12 |
# Taboo organism (Qwen2.5-7B-Instruct) — secret word: **wave**
|
|
|
|
| 1 |
---
|
| 2 |
base_model: unsloth/Qwen2.5-7B-Instruct
|
| 3 |
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- taboo
|
| 6 |
+
- model-organism
|
| 7 |
+
- interpretability
|
| 8 |
+
- lora
|
| 9 |
+
- unsloth
|
| 10 |
license: apache-2.0
|
| 11 |
datasets:
|
| 12 |
+
- bcywinski/taboo-wave
|
| 13 |
+
- bcywinski/taboo-adversarial
|
| 14 |
+
- HuggingFaceH4/ultrachat_200k
|
| 15 |
---
|
| 16 |
|
| 17 |
# Taboo organism (Qwen2.5-7B-Instruct) — secret word: **wave**
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 161533192
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6827131cf8041d1aff5dc3b2f902686bd4c7dd698e99e9d25a903d0adcaffcf8
|
| 3 |
size 161533192
|