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Model: Azure99/blossom-v3_1-mistral-7b
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+datasets:
+- Azure99/blossom-chat-v1
+- Azure99/blossom-math-v2
+- Azure99/blossom-wizard-v1
+- Azure99/blossom-orca-v1
+language:
+- zh
+- en
+---
+# **BLOSSOM-v3.1-mistral-7b**
+
+[💻Github](https://github.com/Azure99/BlossomLM) • [🚀Blossom Chat Demo](https://blossom-chat.com/)
+
+### Introduction
+
+Blossom is a conversational large language model, fine-tuned on the Blossom Orca/Wizard/Chat/Math mixed dataset based on the Mistral-7B-v0.1 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 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.
+
+Note: The Mistral-7B-v0.1 pre-trained model is somewhat lacking in Chinese knowledge, so for Chinese scenarios, it is recommended to use [blossom-v3-baichuan2-7b](https://huggingface.co/Azure99/blossom-v3-baichuan2-7b).
+
+### 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?</s>
+|Human|: Generate a random number using python
+|Bot|: 
+```
+
+Note: At the end of the Bot's output in the historical conversation, append a `</s>`.

config.json

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+{
+  "_name_or_path": "/mnt/output/mistral-7b_3_1-stage1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.34.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.34.1"
+}

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special_tokens_map.json

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tokenizer_config.json

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