Upload 8 files

README.md

@@ -1,3 +1,84 @@
----
-license: gemma
----
+---
+base_model: google/gemma-2-2b-jpn-it
+language:
+- multilingual
+library_name: transformers
+license: gemma
+license_link: https://ai.google.dev/gemma/terms
+pipeline_tag: text-generation
+tags:
+- nlp
+- code
+quantized_by: ymcki
+widget:
+- messages:
+  - role: user
+    content: Can you provide ways to eat combinations of bananas and dragonfruits?
+---
+
+Original model: https://huggingface.co/google/gemma-2-2b-jpn-it
+
+## Prompt format
+
+```
+<start_of_turn>user
+{prompt}<end_of_turn>
+<start_of_turn>model
+<end_of_turn>
+<start_of_turn>model
+
+```
+
+Note that this model does not support a System prompt.
+
+This is abliterated model of [`google/gemma-2-2b-jpn-it](https://huggingface.co/google/gemma-2-2b-jpn-it) using the 
+[method](https://medium.com/@mlabonne/uncensor-any-llm-with-abliteration-d30148b7d43e) 
+described by mlabonne.
+
+Layer 18 of the original model was chosen for abliteration.
+I also created another layer 17 abliterated model for comparison.
+
+It is uploaded here to be evaluated by the LLM Leaderboard to see how brain damaged it
+is compared to the original model.
+
+ORPO fine tuning is currently underway to see if it can regain its sanity. You can play with this model first or wait until I am done with the fine tuning.
+
+## How to run this model
+
+```py
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import transformers
+import torch
+
+model_id = "gemma-2-2b-jpn-it-abliterated-18"
+dtype = torch.bfloat16
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    device_map="cuda",
+    torch_dtype=dtype,)
+
+chat = [
+    { "role": "user", "content": "Write a hello world program" },
+]
+prompt = tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True)
+```
+
+## Downloading using huggingface-cli
+
+First, make sure you have hugginface-cli installed:
+
+```
+pip install -U "huggingface_hub[cli]"
+```
+
+Then, you can target the specific file you want:
+
+```
+huggingface-cli download ymcki/gemma-2-2b-jpn-it-abliterated-18 --include "*" --local-dir ./
+```
+
+## Credits
+
+Thank you mlabonne for describing his abliteration method.