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Model: yys/gemma-7B-it-firefly
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: apache-2.0
+basemodel: google/gemma-7b-it
+---
+
+## Model Card for Firefly-Gemma
+
+[gemma-7B-it-firefly](https://huggingface.co/yys/gemma-7B-it-firefly) is trained based on [gemma-7b-it](https://huggingface.co/google/gemma-7b-it) to act as a helpful and harmless AI assistant. 
+we trained the model on [firefly-train-1.1M](https://huggingface.co/datasets/YeungNLP/firefly-train-1.1M) dataset using LoRA.
+
+
+<img src="gemma-7B-it-firefly.jpg" width="250">
+
+
+## Performance
+we evaluate the model on [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+
+## Usage
+The chat template of our chat models is same as Official gemma-7b-it:
+```text
+<bos><start_of_turn>user
+Write a hello world program<end_of_turn>
+<start_of_turn>model
+```
+
+You can also use the following code:
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_name_or_path = "yys/gemma-7B-it-firefly"
+tokenizer = AutoTokenizer.from_pretrained(model_name_or_path)
+model = AutoModelForCausalLM.from_pretrained(model_name_or_path)
+
+input_text = "给我写一首关于机器学习的诗歌。"
+input_ids = tokenizer(input_text, return_tensors="pt")
+
+outputs = model.generate(**input_ids)
+print(tokenizer.decode(outputs[0]))
+
+```