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Update README_JA.md

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Yang An
2023-08-09 11:32:29 +08:00
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@@ -231,9 +231,9 @@ model = AutoModelForCausalLM.from_pretrained(
| Precision | MMLU | Memory |
| :---------: | -------: | -------: |
| BF16 | 56.7 | 16.2G |
| Int8 | 52.8 | 10.1G |
| NF4 | 48.9 | 7.4G |
| BF16 | 56.7 | 16.2G |
| Int8 | 52.8 | 10.1G |
| NF4 | 48.9 | 7.4G |
## CLI デモ
@@ -254,12 +254,12 @@ ReAct プロンプトの書き方や使い方については、[ReAct の例](ex
さらに、エージェントとしての能力を示す実験結果を提供する。詳細は [Hugging Face Agent](https://huggingface.co/docs/transformers/transformers_agents) を参照。Hugging Face が提供するランモードベンチマークでの性能は以下の通りです:
| Model | Tool Selection↑ | Tool Used↑ | Code↑ |
|-|-|-|-|
|GPT-4 | **100** | **100** | **97.41** |
|GPT-3.5 | 95.37 | 96.30 | 87.04 |
|StarCoder-15.5B | 87.04 | 87.96 | 68.89 |
| **Qwen-7B** | 90.74 | 92.59 | 74.07 |
| Model | Tool Selection↑ | Tool Used↑ | Code↑ |
| --------------- | ---------------- | ---------- | --------- |
| GPT-4 | **100** | **100** | **97.41** |
| GPT-3.5 | 95.37 | 96.30 | 87.04 |
| StarCoder-15.5B | 87.04 | 87.96 | 68.89 |
| **Qwen-7B** | 90.74 | 92.59 | 74.07 |
## 長い文脈の理解