FINGU-AI
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Chocolatine-Fusion-14B

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 library_name: transformers
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 library_name: transformers
 license: mit
 ---
+# Chocolatine-Fusion-14B
+**FINGU-AI/Chocolatine-Fusion-14B** is a merged model combining **jpacifico/Chocolatine-2-14B-Instruct-v2.0b3** and **jpacifico/Chocolatine-2-14B-Instruct-v2.0b2**. This model maintains the strengths of Chocolatine while benefiting from an optimized fusion for improved reasoning and multi-turn conversation capabilities.
+## **Training & Fine-Tuning**
+Chocolatine-Fusion-14B is based on **DPO fine-tuning** from the Chocolatine-2 series, which originated as a fine-tuned version of **sometimesanotion/Lamarck-14B-v0.7**.
+- The model has been trained using **French and English RLHF datasets** (including jpacifico/french-orca-dpo-pairs-revised) for enhanced bilingual capabilities.
+- Long-context support has been extended up to **128K tokens** with the ability to generate up to **8K tokens**.
+## **OpenLLM Leaderboard**
+Coming soon.
+## **MT-Bench**
+Coming soon.
+## **Usage**
+You can run this model 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("FINGU-AI/Chocolatine-Fusion-14B")
+prompt = tokenizer.apply_chat_template(message, add_generation_prompt=True, tokenize=False)
+# Create pipeline
+pipeline = transformers.pipeline(
+    "text-generation",
+    model="FINGU-AI/Chocolatine-Fusion-14B",
+    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**
+Chocolatine-Fusion-14B is a **demonstration of model merging techniques** rather than a standalone fine-tuned model.
+- It does **not** have any built-in moderation mechanisms.
+- Responses may vary based on the interaction and prompt style.
+- Performance on **highly technical or domain-specific queries** may require further fine-tuning.
+## **Developed by**
+- **Author:** FINGU-AI, 2025
+- **Base Models:** jpacifico/Chocolatine-2-14B-Instruct-v2.0b3, jpacifico/Chocolatine-2-14B-Instruct-v2.0b2
+- **Language(s):** French, English
+- **Model Type:** Merged LLM
+- **License:** Apache-2.0