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Add machine-translated Alpaca dataset in 6 languages and finetuned models (#353)

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Julen Etxaniz 2023-04-18 04:49:09 +02:00 committed by GitHub
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@ -156,6 +156,7 @@ docker-compose down --volumes --rmi all
- [AlpacaDataCleaned](https://github.com/gururise/AlpacaDataCleaned), a project to improve the quality of the Alpaca dataset - [AlpacaDataCleaned](https://github.com/gururise/AlpacaDataCleaned), a project to improve the quality of the Alpaca dataset
- [GPT-4 Alpaca Data](https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM) a project to port synthetic data creation to GPT-4 - [GPT-4 Alpaca Data](https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM) a project to port synthetic data creation to GPT-4
- [dolly-15k-instruction-alpaca-format](https://huggingface.co/datasets/c-s-ale/dolly-15k-instruction-alpaca-format), an Alpaca-compatible version of [Databricks' Dolly 15k human-generated instruct dataset](https://github.com/databrickslabs/dolly/tree/master/data) (see [blog](https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm)) - [dolly-15k-instruction-alpaca-format](https://huggingface.co/datasets/c-s-ale/dolly-15k-instruction-alpaca-format), an Alpaca-compatible version of [Databricks' Dolly 15k human-generated instruct dataset](https://github.com/databrickslabs/dolly/tree/master/data) (see [blog](https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm))
- [Alpaca-LoRA MT](https://github.com/juletx/alpaca-lora-mt), a project to finetune models with [machine-translated Alpaca data](https://huggingface.co/datasets/HiTZ/alpaca_mt) in 6 Iberian languages: Portuguese, Spanish, Catalan, Basque, Galician and Asturian.
- Various adapter weights (download at own risk): - Various adapter weights (download at own risk):
- 7B: - 7B:
- 3️⃣ <https://huggingface.co/tloen/alpaca-lora-7b> - 3️⃣ <https://huggingface.co/tloen/alpaca-lora-7b>
@ -176,6 +177,7 @@ docker-compose down --volumes --rmi all
- 🇺🇦 <https://huggingface.co/robinhad/ualpaca-7b-llama> - 🇺🇦 <https://huggingface.co/robinhad/ualpaca-7b-llama>
- 🇮🇹 <https://huggingface.co/mchl-labs/stambecco-7b-plus> - 🇮🇹 <https://huggingface.co/mchl-labs/stambecco-7b-plus>
- 🇪🇸 <https://huggingface.co/plncmm/guanaco-lora-7b> - 🇪🇸 <https://huggingface.co/plncmm/guanaco-lora-7b>
- 🇬🇧 🇪🇸 🇵🇹 <https://huggingface.co/HiTZ/alpaca-lora-7b-en-pt-es-ca-eu-gl-at>
- 13B: - 13B:
- 3️⃣ <https://huggingface.co/Angainor/alpaca-lora-13b> - 3️⃣ <https://huggingface.co/Angainor/alpaca-lora-13b>
- 3️⃣ <https://huggingface.co/chansung/alpaca-lora-13b> - 3️⃣ <https://huggingface.co/chansung/alpaca-lora-13b>
@ -188,13 +190,16 @@ docker-compose down --volumes --rmi all
- 🇨🇳 <https://huggingface.co/ziqingyang/chinese-alpaca-lora-13b> - 🇨🇳 <https://huggingface.co/ziqingyang/chinese-alpaca-lora-13b>
- 🇪🇸 <https://huggingface.co/plncmm/guanaco-lora-13b> - 🇪🇸 <https://huggingface.co/plncmm/guanaco-lora-13b>
- 🇮🇹 <https://huggingface.co/mchl-labs/stambecco-13b-plus> - 🇮🇹 <https://huggingface.co/mchl-labs/stambecco-13b-plus>
- 🇬🇧 🇪🇸 🇵🇹 <https://huggingface.co/HiTZ/alpaca-lora-13b-en-pt-es-ca-eu-gl-at>
- 30B: - 30B:
- 3️⃣ <https://huggingface.co/baseten/alpaca-30b> - 3️⃣ <https://huggingface.co/baseten/alpaca-30b>
- 3️⃣ <https://huggingface.co/chansung/alpaca-lora-30b> - 3️⃣ <https://huggingface.co/chansung/alpaca-lora-30b>
- **4️⃣ <https://huggingface.co/chansung/gpt4-alpaca-lora-30b>** - **4️⃣ <https://huggingface.co/chansung/gpt4-alpaca-lora-30b>**
- 🇯🇵 <https://huggingface.co/kunishou/Japanese-Alapaca-LoRA-30b-v0> - 🇯🇵 <https://huggingface.co/kunishou/Japanese-Alapaca-LoRA-30b-v0>
- 🇬🇧 🇪🇸 🇵🇹 <https://huggingface.co/HiTZ/alpaca-lora-30b-en-pt-es-ca-eu-gl-at>
- 65B - 65B
- <https://huggingface.co/chansung/alpaca-lora-65b> - <https://huggingface.co/chansung/alpaca-lora-65b>
- 🇬🇧 🇪🇸 🇵🇹 <https://huggingface.co/HiTZ/alpaca-lora-65b-en-pt-es-ca>
- [alpaca-native](https://huggingface.co/chavinlo/alpaca-native), a replication using the original Alpaca code - [alpaca-native](https://huggingface.co/chavinlo/alpaca-native), a replication using the original Alpaca code
- [llama.onnx](https://github.com/tpoisonooo/llama.onnx), a project to inference alpaca with onnx format - [llama.onnx](https://github.com/tpoisonooo/llama.onnx), a project to inference alpaca with onnx format