tuned

README.md

@@ -1,76 +1,201 @@
-# 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（総合）
-[Nejumi LLMリーダーボード3](https://wandb.ai/wandb-japan/llm-leaderboard3/reports/Nejumi-LLM-3---Vmlldzo4NTI1NTUx)による評価結果
-
-| 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（詳細）
-
-#### 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 |
-
-## ベンチマークごとのスコア
-
-| 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。
+---
+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
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

generation_config.json

@@ -4,5 +4,5 @@
   "do_sample": true,
   "eos_token_id": 65001,
   "pad_token_id": 1,
-  "transformers_version": "4.44.0"
+  "transformers_version": "4.43.3"
 }

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