Create README.md

README.md

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+---
+license: apache-2.0
+datasets:
+- Azure99/blossom-chat-v2
+- Azure99/blossom-math-v3
+- Azure99/blossom-wizard-v2
+- Azure99/blossom-orca-v2
+language:
+- zh
+- en
+---
+# **BLOSSOM-v4-yi-34b**
+
+Try blossom online demo! [Blossom Chat[🚀](https://blossom-chat.com/)](https://huggingface.co/spaces/Azure99/BlossomChat)
+
+### Introduction
+
+Blossom is a conversational large language model, fine-tuned on the Blossom Orca/Wizard/Chat/Math mixed dataset based on the Yi-34B pre-trained model. Blossom possesses robust general capabilities and context comprehension. Additionally, the high-quality Chinese and English datasets used for training have been made open source.
+
+Training was conducted in two stages. The first stage used 100K Wizard, 100K Orca, 20K Math single-turn instruction datasets, training for 1 epoch; the second stage used 50K Blossom chat multi-turn dialogue dataset, and 2% randomly sampled data from the first stage, training for 3 epochs.
+
+### Inference
+
+Inference is performed in the form of dialogue continuation.
+
+Single-turn dialogue
+
+```
+A chat between a human and an artificial intelligence bot. The bot gives helpful, detailed, and polite answers to the human's questions.
+|Human|: hello
+|Bot|: 
+```
+
+Multi-turn dialogue
+
+```
+A chat between a human and an artificial intelligence bot. The bot gives helpful, detailed, and polite answers to the human's questions.
+|Human|: hello
+|Bot|: Hello! How can I assist you today?<|endoftext|>
+|Human|: Generate a random number using python
+|Bot|: 
+```
+
+Note: At the end of the Bot's output in the historical conversation, append a `<|endoftext|>`.