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README.md

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+---
+license: cc
+language:
+- ja
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- japanese
+- llama-2
+- instruction-tuning
+---
+
+# Stockmark-13b-instruct
+
+Stockmark-13b-instruct is a instruction-tuned version of [Stockmark-13b](https://huggingface.co/stockmark/stockmark-13b), a 13 billion parameter Japanese LLM. This model is developed by [Stockmark Inc.](https://stockmark.co.jp/)
+
+We used data (2023/11/03 version) from [Project of Development of Japanese Instruction data for LLM](https://liat-aip.sakura.ne.jp/wp/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF%E4%BD%9C%E6%88%90/) for instruction tuning.
+
+This model is licensed under non-commercial license.
+
+Please see our [blog](https://tech.stockmark.co.jp/blog/202311_stockmark_13b_instruct/) for more details.
+
+## How to use
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("stockmark/stockmark-13b-instruct", device_map="auto", torch_dtype=torch.bfloat16)
+tokenizer = AutoTokenizer.from_pretrained("stockmark/stockmark-13b-instruct")
+
+instruction = "自然言語処理とは？"
+
+prompt = f"""### Input:
+{instruction}
+
+### Output:
+"""
+
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+with torch.no_grad():
+    tokens = model.generate(
+        **inputs,
+        max_new_tokens=128,
+        do_sample=True,
+        temperature=0.7
+    )
+    
+output = tokenizer.decode(tokens[0], skip_special_tokens=True)
+print(output)
+```
+
+## Training dataset
+[Project of Development of Japanese Instruction data for LLM](https://liat-aip.sakura.ne.jp/wp/llm%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E6%97%A5%E6%9C%AC%E8%AA%9E%E3%82%A4%E3%83%B3%E3%82%B9%E3%83%88%E3%83%A9%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%87%E3%83%BC%E3%82%BF%E4%BD%9C%E6%88%90/)
+
+## License
+[CC BY-NC-SA](https://creativecommons.org/licenses/by-nc-sa/4.0/)
+
+## Developed by
+[Stockmark Inc.](https://stockmark.co.jp/)
+
+## Author
+[Takahiro Omi](https://huggingface.co/omitakahiro)

config.json

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+{
+  "_name_or_path": "stockmark/stockmark-13b-instruction",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 0,
+  "eos_token_id": 1,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 40,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.34.1",
+  "use_cache": true,
+  "vocab_size": 50000
+}

generation_config.json

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+{
+  "bos_token_id": 0,
+  "eos_token_id": 1,
+  "pad_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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