jpacifico
/

Chocolatine-14B-Instruct-DPO-v1.1

@@ -1,199 +1,112 @@
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 ---
 library_name: transformers
+license: mit
+language:
+- fr
+- en
+tags:
+- french
+- chocolatine
+datasets:
+- jpacifico/french-orca-dpo-pairs-revised
+pipeline_tag: text-generation
 ---
+### Chocolatine-14B-Instruct-DPO-v1.1
+DPO fine-tuned of [microsoft/Phi-3-medium-4k-instruct](https://huggingface.co/microsoft/Phi-3-medium-4k-instruct) (14B params)
+using the [jpacifico/french-orca-dpo-pairs-revised](https://huggingface.co/datasets/jpacifico/french-orca-dpo-pairs-revised) rlhf dataset.
+Training in French also improves the model in English, surpassing the performances of its base model.
+Window context = 4k tokens
+### Benchmarks
+The first Chocolatine-14B version is already the best-performing < 50B model in terms of MMLU-PRO on the [OpenLLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) (august 2024)
+This new version 1.1 is also submitted, results coming soon.
+### MT-Bench
+Chocolatine-14B-Instruct-DPO-v1.1 is outperforming Phi-3-medium-4k-instruct and its previous version.
+And also this v1.1 is pretty close from GPT-4o-mini (first turn is amazing!).
+```
+########## First turn ##########
+                                                     score
+model                                         turn
+Chocolatine-14B-Instruct-DPO-v1.1             1     9.1375
+gpt-4o-mini                                   1     9.1375
+Chocolatine-14B-Instruct-4k-DPO               1     8.7250
+Phi-3-medium-4k-instruct                      1     8.7125
+Chocolatine-3B-Instruct-DPO-Revised           1     8.4625
+Phi-3-mini-4k-instruct                        1     8.4125
+gpt-3.5-turbo                                 1     8.2750
+########## Second turn ##########
+                                                      score
+model                                         turn
+gpt-4o-mini                                   2     9.05000
+gpt-3.5-turbo                                 2     8.20625
+Chocolatine-14B-Instruct-DPO-v1.1             2     8.18750
+Chocolatine-14B-Instruct-4k-DPO               2     8.15000
+Phi-3-medium-4k-instruct                      2     7.92500
+Chocolatine-3B-Instruct-DPO-Revised           2     7.61250
+Phi-3-mini-4k-instruct                        2     7.38750
+########## Average ##########
+                                                  score
+model
+gpt-4o-mini                                    9.093750
+Chocolatine-14B-Instruct-DPO-v1.1              8.662500
+Chocolatine-14B-Instruct-4k-DPO                8.437500
+Phi-3-medium-4k-instruct                       8.318750
+gpt-3.5-turbo                                  8.240625
+Chocolatine-3B-Instruct-DPO-Revised            8.037500
+Phi-3-mini-4k-instruct                         7.900000
+```
+### Usage
+You can run this model using my [Colab notebook](https://github.com/jpacifico/Chocolatine-LLM/blob/main/Chocolatine_14B_inference_test_colab.ipynb)
+You can also run Chocolatine using the following code:
+```python
+import transformers
+from transformers import AutoTokenizer
+# Format prompt
+message = [
+    {"role": "system", "content": "You are a helpful assistant chatbot."},
+    {"role": "user", "content": "What is a Large Language Model?"}
+]
+tokenizer = AutoTokenizer.from_pretrained(new_model)
+prompt = tokenizer.apply_chat_template(message, add_generation_prompt=True, tokenize=False)
+# Create pipeline
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=new_model,
+    tokenizer=tokenizer
+)
+# Generate text
+sequences = pipeline(
+    prompt,
+    do_sample=True,
+    temperature=0.7,
+    top_p=0.9,
+    num_return_sequences=1,
+    max_length=200,
+)
+print(sequences[0]['generated_text'])
+```
+### Limitations
+The Chocolatine model is a quick demonstration that a base model can be easily fine-tuned to achieve compelling performance.
+It does not have any moderation mechanism.
+- **Developed by:** Jonathan Pacifico, 2024
+- **Model type:** LLM
+- **Language(s) (NLP):** French, English
+- **License:** MIT