初始化项目，由ModelHub XC社区提供模型

Model: convaiinnovations/gemma3-fine-tuned
Source: Original Platform

README.md

@@ -0,0 +1,39 @@
+---
+license: apache-2.0
+base_model: unsloth/gemma-3-1b-it
+tags:
+  - sales
+  - conversational
+  - fine-tuned
+  - gemma
+language:
+  - en
+pipeline_tag: text-generation
+---
+
+# Gemma 3 1B - Sales Conversation Fine-tuned
+
+Fine-tuned on 100K B2B sales conversations for objection handling and deal progression.
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("convaiinnovations/gemma3-fine-tuned", device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("convaiinnovations/gemma3-fine-tuned")
+
+messages = [{"role": "user", "content": "Customer: It's too expensive. How to respond?"}]
+inputs = tokenizer.apply_chat_template(messages, return_tensors="pt", add_generation_prompt=True)
+outputs = model.generate(inputs.to(model.device), max_new_tokens=256)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Training
+- Base: `unsloth/gemma-3-1b-it`  
+- LoRA: r=64, alpha=32
+- Epochs: 3
+- Data: 100K synthetic sales conversations
+
+## License
+Apache 2.0 | ConvAI Innovations 2026