commit 3dd50002680ad6432636e80a0ce1c1fa30a7a41f
Author: ModelHub XC <noreply@modelhub.org.cn>
Date:   Mon May 11 22:56:16 2026 +0800

    初始化项目，由ModelHub XC社区提供模型
    
    Model: alfredplpl/gemma-2b-it-ja-poc
    Source: Original Platform

diff --git a/.gitattributes b/.gitattributes
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diff --git a/README.md b/README.md
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+---
+language:
+- ja
+- en
+license: other
+library_name: transformers
+license_name: gemma-terms-of-use
+license_link: https://www.kaggle.com/models/google/gemma/license/consent
+---
+
+# Note
+このモデルはマージに失敗してバグっているため、[こちら](https://huggingface.co/alfredplpl/gemma-2b-it-ja-poc-2)をおすすめします。
+
+
+[Google Colab](https://colab.research.google.com/drive/1X3_0hjV0uuRiC_yvKTe4_XJCMOTK2iLN?usp=sharing)
+
+# Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+# トークナイザーとモデルの準備
+tokenizer = AutoTokenizer.from_pretrained(
+  "alfredplpl/gemma-2b-it-ja-poc"
+)
+model = AutoModelForCausalLM.from_pretrained(
+  "alfredplpl/gemma-2b-it-ja-poc"
+)
+
+# プロンプトの準備
+prompt="""
+あなたは親切なアシスタントです。英語は喋らず、日本語だけ喋ってください。
+<start_of_turn>user
+人生で大切なことはなんですか？<end_of_turn>
+<start_of_turn>model"""
+
+# 推論の実行
+input_ids = tokenizer(prompt, return_tensors="pt").to(model.device)
+outputs = model.generate(
+    **input_ids,
+    max_new_tokens=128,
+    do_sample=True,
+    top_p=0.95,
+    temperature=0.2,
+    repetition_penalty=1.1,
+)
+print(tokenizer.decode(outputs[0]))
+
+```
+
+## Result
+
+```bash
+<bos>
+あなたは親切なアシスタントです。英語は喋らず、日本語だけ喋ってください。
+<start_of_turn>user
+人生で大切なことはなんですか？<end_of_turn>
+<start_of_turn>model
+人生で大切なことはたくさんある。しかし、最も重要なのは、愛する人を大切にし、その人と幸せになることだ。<end_of_turn>
+<eos>
+```
+
+# Chat Templete
+
+```bash
+<bos>
+{{system prompt}}
+<start_of_turn>user
+{{prompt}}<end_of_turn>
+<start_of_turn>model
+{{response}}<end_of_turn>
+<eos>
+```
+
+# Base model
+- free-ai-ltd/ja-aozora-wikipedia-gemmba-2b (private)
+
+# Dataset for Instruct tuning
+- llm-jp/databricks-dolly-15k-ja
+- llm-jp/oasst1-21k-ja
+- kunishou/oasst1-chat-44k-ja
+- kunishou/oasst2-chat-68k-ja
+- kunishou/cnn-dailymail-27k-ja
+- kunishou/databricks-dolly-69k-ja-en-translation
+- kunishou/databricks-dolly-15k-ja
+
+# How to make this model
+- [LoRA](https://gist.github.com/alfredplpl/e20cad036c151f38645a1abc87f56a2f)
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+  "base_model_name_or_path": "alfredplpl/gemma-2b-it-ja-poc",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 8,
+  "lora_dropout": 0.0,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "down_proj",
+    "up_proj",
+    "gate_proj",
+    "v_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}
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+  "_name_or_path": "alfredplpl/gemma-2b-it-ja-poc",
+  "architectures": [
+    "GemmaForCausalLM"
+  ],
+  "attention_bias": false,
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+  "bos_token_id": 2,
+  "eos_token_id": 1,
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+  "hidden_act": "gelu",
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+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.0",
+  "use_cache": false,
+  "vocab_size": 256000
+}
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+  "transformers_version": "4.38.0"
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