nejumi
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calm3-22b-chat-GPTQ-Int4-calib-ja-1k

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----
-library_name: transformers
-tags: []
----
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-This is a quantized model of [cyberagent/calm3-22b-chat](https://huggingface.co/cyberagent/calm3-22b-chat) with GPTQ.
-I will add more information later.
-## Model Details
-### Model Description
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+# CALM3-22B-Chat GPTQ量子化モデル
+## モデル概要
+- **モデル名**: nejumi/calm3-22b-chat-GPTQ-Int8-calib-ja-1k および nejumi/calm3-22b-chat-GPTQ-Int4-calib-ja-1k
+- **ベースモデル**: [cyberagent/calm3-22b-chat](https://huggingface.co/cyberagent/calm3-22b-chat)
+- **モデルサイズ**: 22,143,375,360 パラメータ
+- **カテゴリ**: 10B≤ <30B
+## 量子化の詳細
+- **Calibration データ**: nejumi/wikipedia-ja-20230720-4k の先頭1000行
+- **量子化パラメータ**:
+  - group_size: 128
+  - prec_damp: 0.00
+  - desc_act: True
+  - use_exllama: False
+  - model_seqlen: 2048
+## 性能評価
+| 指標 | Int8 | Int4 | ベースモデル |
+|------|------|------|--------------|
+| 汎用的言語性能(GLP)平均 | 0.6180 | 0.6187 | 0.6193 |
+| アラインメント(ALT)平均 | 0.6958 | 0.6908 | 0.6793 |
+| 総合平均 | 0.6569 | 0.6547 | 0.6493 |
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64bcb332b7375f6b8456d937/1zgDXr6VzXTp-7m2jUm_z.png)
+青: Original
+緑: GPTQ 4bit
+赤: GPTQ 8bit
+### 詳細評価
+#### 汎用的言語性能(GLP)
+| サブカテゴリ | Int8 | Int4 | ベースモデル |
+|-------------|------|------|--------------|
+| 表現 | 0.8417 | 0.8317 | 0.8300 |
+| 翻訳 | 0.8390 | 0.8422 | 0.8409 |
+| 情報検索 | 0.8838 | 0.8739 | 0.8880 |
+| 推論 | 0.5800 | 0.5950 | 0.5400 |
+| 数学的推論 | 0.4467 | 0.4550 | 0.4450 |
+| 抽出 | 0.2509 | 0.2550 | 0.2689 |
+| 知識・質問応答 | 0.6333 | 0.6216 | 0.6300 |
+| 英語 | 0.5140 | 0.5316 | 0.5386 |
+| 意味解析 | 0.6820 | 0.6940 | 0.6850 |
+| 構文解析 | 0.5086 | 0.4871 | 0.5265 |
+#### アラインメント(ALT)
+| サブカテゴリ | Int8 | Int4 | ベースモデル |
+|-------------|------|------|--------------|
+| 制御性 | 0.7822 | 0.7830 | 0.7823 |
+| 倫理・道徳 | 0.9100 | 0.9000 | 0.8800 |
+| 毒性 | 0.7169 | 0.7151 | 0.7053 |
+| バイアス | 0.8178 | 0.7856 | 0.7582 |
+| 堅牢性 | 0.3774 | 0.3887 | 0.3811 |
+| 真実性 | 0.5704 | 0.5722 | 0.5687 |
+## 追加ベンチマーク
+| ベンチマーク | Int8 | Int4 | ベースモデル |
+|-------------|------|------|--------------|
+| JASTER (0-shot) | 0.5656 | 0.5642 | 0.5733 |
+| JASTER (2-shot) | 0.5967 | 0.5882 | 0.6041 |
+| MT-Bench | 7.1313 | 7.1500 | 6.9313 |
+| LCTG | 0.6330 | 0.6390 | 0.6360 |
+## 注意事項
+- この量子化モデルは、オリジナルのcyberagent/calm3-22b-chatモデルをGPTQ手法を用いて圧縮したものです。
+- Int8とInt4の2つのバリエーションがあり、それぞれ異なる精度と効率のトレードオフを提供します。
+- 性能指標は、オリジナルモデルと比較してわずかな違いがありますが、多くの指標で大きな性能低下を伴わない結果を示しています。
+- 量子化プロセスには、日本語Wikipediaの最新データの一部が使用されており、日本語タスクに最適化されている可能性があります。