MakeNoah
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llm-jp-3-13b-magpie

@@ -1,199 +1,76 @@
 ---
 library_name: transformers
-tags: []
 ---
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 ---
 library_name: transformers
+tags:
+- text-generation-inference
+- llama
+license: cc-by-nc-sa-4.0
+datasets:
+- llm-jp/magpie-sft-v1.0
+language:
+- ja
+base_model:
+- llm-jp/llm-jp-3-13b
 ---
+# Uploaded  model
+- **Developed by:** MakeNoah
+- **License:** CC-BY-NC-SA 4.0
+- **Finetuned from model :** llm-jp/llm-jp-3-13b
+This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+---
+## **Model Card: Instruction-Tuned Base Model**
+### **Model Overview**
+- **Model Name**: `llm-jp-3-13b-magpie`
+- **Description**: このモデルは、日本語ベースの大規模言語モデル（13B）`llm-jp-3-13b`を基に、magpie-datasetとichikara-datasetでFTを行ったものです
+- **Base Model**: `llm-jp-3-13b`
+- **Fine-Tuning Objective**: 指示文（instruction）に対する適切な応答（response）を生成する能力を向上させるための微調整。
+---
+### **Datasets**
+- **Training Dataset**:
+  - データセット名:ichikara-instruction
+  - データセット名:llm-jp/magpie-sft-v1.0
+---
+### **Training Configuration**
+- **Hardware**:
+  - GPU: RTX 24GB（1枚）
+- **Hyperparameters**:
+  - `per_device_train_batch_size`: 1
+  - `gradient_accumulation_steps`: 4
+  - `num_train_epochs`: 1
+  - `learning_rate`: 5.0e-5
+  - `fp16`: 使用
+  - `bf16`: 使用（ハードウェアでサポートされる場合）
+  - `max_seq_length`: 512
+---
+### **Fine-Tuning Process**
+1. **データのロード**:
+   - `ichikara-instruction-003-001-1.json`をロードし、`text`と`output`を使用してプロンプト形式に変換。
+   - llm-jp/magpie-sft-v1.0も同様の方法でマージ
+2. **モデル準備**:
+   - ベースモデル: `llm-jp-3-13b`。
+   - LoRAアダプタを適用:
+     - **Target Modules**: `q_proj`, `k_proj`, `v_proj`, `o_proj`, `gate_proj`, `up_proj`, `down_proj`。
+     - **LoRA Hyperparameters**:
+       - `r=36`
+       - `lora_alpha=16`
+       - `lora_dropout=0.1`
+3. **トレーニング設定**:
+   - 各データを512トークンでトークナイズ。
+   - 勾配累積（4ステップ）を利用して効果的なバッチサイズを確保。
+4. **トレーニング実行**:
+---
+### **推論方法**
+学習、推論に使用したコードは以下のコマンドで取得できます。
+```
+cd ~
+git clone https://github.com/MakeNoah/LLM_TuneCode.git
+```
+推論は以下の方法で行ってください。
+```
+cd ~/LLM_TuneCode/01_推論用
+python inference.py
+```
+---