初始化项目，由ModelHub XC社区提供模型

Model: cyberagent/calm2-7b-chat
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+language:
+- ja
+- en
+tags:
+- japanese
+- causal-lm
+inference: false
+---
+# CyberAgentLM2-7B-Chat (CALM2-7B-Chat)
+
+## Model Description
+
+CyberAgentLM2-Chat is a fine-tuned model of [CyberAgentLM2](https://huggingface.co/cyberagent/calm2-7b) for dialogue use cases.
+
+## Requirements
+- transformers >= 4.34.1
+- accelerate
+
+## Usage
+
+```python
+import transformers
+from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
+
+assert transformers.__version__ >= "4.34.1"
+
+model = AutoModelForCausalLM.from_pretrained("cyberagent/calm2-7b-chat", device_map="auto", torch_dtype="auto")
+tokenizer = AutoTokenizer.from_pretrained("cyberagent/calm2-7b-chat")
+streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
+
+prompt = """USER: AIによって私達の暮らしはどのように変わりますか？
+ASSISTANT: """
+
+token_ids = tokenizer.encode(prompt, return_tensors="pt")
+output_ids = model.generate(
+    input_ids=token_ids.to(model.device),
+    max_new_tokens=300,
+    do_sample=True,
+    temperature=0.8,
+    streamer=streamer,
+)
+```
+
+## Chat Template
+```
+USER: {user_message1}
+ASSISTANT: {assistant_message1}<|endoftext|>
+USER: {user_message2}
+ASSISTANT: {assistant_message2}<|endoftext|>
+USER: {user_message3}
+ASSISTANT: {assistant_message3}<|endoftext|>
+```
+
+## Model Details
+
+* **Model size**: 7B
+* **Context length**: 32768
+* **Model type**: Transformer-based Language Model
+* **Language(s)**: Japanese, English
+* **Developed by**: [CyberAgent, Inc.](https://www.cyberagent.co.jp/)
+* **License**: Apache-2.0
+
+## Author
+
+[Ryosuke Ishigami](https://huggingface.co/rishigami)
+
+## Citations
+```tex
+@article{touvron2023llama,
+  title={LLaMA: Open and Efficient Foundation Language Models},
+  author={Touvron, Hugo and Lavril, Thibaut and Izacard, Gautier and Martinet, Xavier and Lachaux, Marie-Anne and Lacroix, Timoth{\'e}e and Rozi{\`e}re, Baptiste and Goyal, Naman and Hambro, Eric and Azhar, Faisal and Rodriguez, Aurelien and Joulin, Armand and Grave, Edouard and Lample, Guillaume},
+  journal={arXiv preprint arXiv:2302.13971},
+  year={2023}
+}
+```

config.json

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+{
+  "_name_or_path": "./calm2-7b-chat",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 32768,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": 1,
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+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 500000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.34.1",
+  "use_cache": true,
+  "vocab_size": 65024
+}

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+  "eos_token_id": 0,
+  "pad_token_id": 1,
+  "transformers_version": "4.34.1"
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|padding|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,28 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<|padding|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|padding|>",
+  "tokenizer_class": "GPTNeoXTokenizerFast",
+  "unk_token": "<|endoftext|>"
+}