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@ -42,19 +42,19 @@ Supported models:
- [X] [Chinese LLaMA / Alpaca](https://github.com/ymcui/Chinese-LLaMA-Alpaca)
- [X] [Vigogne (French)](https://github.com/bofenghuang/vigogne)
Model links:
- [LLaMA HuggingFace 7B Model](https://huggingface.co/nyanko7/LLaMA-7B/tree/main)
- [LLaMa HuggingFace 65B Model](https://huggingface.co/datasets/nyanko7/LLaMA-65B/tree/main)
- [Alpaca-LoRa HuggingFace 7B Model](https://huggingface.co/Pi3141/alpaca-lora-7B-ggml/tree/main)
- [Alpaca-LoRa HuggingFace 13B Model](https://huggingface.co/Pi3141/alpaca-lora-13B-ggml/tree/main)
- [Alpaca-LoRa HuggingFace 30B Model](https://huggingface.co/Pi3141/alpaca-lora-30B-ggml/tree/main)
- [Alpaca-Native-Enhanced HuggingFace 7B Model](https://huggingface.co/Pi3141/alpaca-7b-native-enhanced/tree/main) - Extreamly better than the LoRa one!
- [Alpaca-Native HuggingFace 7B Model](https://huggingface.co/Pi3141/alpaca-native-7B-ggml/tree/main) - Works Slightly better than LoRa Model!
- [Alpaca-Native HuggingFace 13B Model](https://huggingface.co/Pi3141/alpaca-native-13B-ggml/tree/main) - Works Slightly better than the LoRa Model!
---
##Model links:
[LLaMA HuggingFace 7B Model](https://huggingface.co/nyanko7/LLaMA-7B/tree/main)
[LLaMa HuggingFace 65B Model](https://huggingface.co/datasets/nyanko7/LLaMA-65B/tree/main)
[Alpaca-LoRa HuggingFace 7B Model](https://huggingface.co/Pi3141/alpaca-lora-7B-ggml/tree/main)
[Alpaca-LoRa HuggingFace 13B Model](https://huggingface.co/Pi3141/alpaca-lora-13B-ggml/tree/main)
[Alpaca-LoRa HuggingFace 30B Model](https://huggingface.co/Pi3141/alpaca-lora-30B-ggml/tree/main)
[Alpaca-Native-Enhanced HuggingFace 7B Model](https://huggingface.co/Pi3141/alpaca-7b-native-enhanced/tree/main) - Extreamly better than the LoRa one!
[Alpaca-Native HuggingFace 7B Model](https://huggingface.co/Pi3141/alpaca-native-7B-ggml/tree/main) - Works Slightly better than LoRa Model!
[Alpaca-Native HuggingFace 13B Model](https://huggingface.co/Pi3141/alpaca-native-13B-ggml/tree/main) - Works Slightly better than the LoRa Model!
Here is a typical run using LLaMA-7B:
```java