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README.md
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license: apache-2.0
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---
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---
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license: apache-2.0
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datasets:
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- Azure99/blossom-chat-v1
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- Azure99/blossom-math-v2
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- Azure99/blossom-wizard-v1
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- Azure99/blossom-orca-v1
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language:
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- zh
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- en
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# **BLOSSOM-v3.1-yi-34b**
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### Introduction
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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.
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Training was conducted in two stages. The first stage used 100K Wizard, 100K Orca single-turn instruction datasets, training for 1 epoch; the second stage used a 2K Blossom math reasoning dataset, 50K Blossom chat multi-turn dialogue dataset, and 1% randomly sampled data from the first stage, training for 3 epochs.
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### Inference
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Inference is performed in the form of dialogue continuation.
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Single-turn dialogue
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```
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A chat between a human and an artificial intelligence bot. The bot gives helpful, detailed, and polite answers to the human's questions.
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|Human|: hello
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|Bot|:
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```
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Multi-turn dialogue
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```
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A chat between a human and an artificial intelligence bot. The bot gives helpful, detailed, and polite answers to the human's questions.
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|Human|: hello
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|Bot|: Hello! How can I assist you today?</s>
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|Human|: Generate a random number using python
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|Bot|:
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```
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Note: At the end of the Bot's output in the historical conversation, append a `</s>`.
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