Chinese-LLaMA-Alpaca
Qwen-VL
| Chinese-LLaMA-Alpaca | Qwen-VL | |
|---|---|---|
| 4 | 4 | |
| 17,539 | 3,868 | |
| - | 13.6% | |
| 8.3 | 8.7 | |
| 22 days ago | 15 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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Chinese-LLaMA-Alpaca
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Chinese-Alpaca-Plus-13B-GPTQ
I'd like to share with you today the Chinese-Alpaca-Plus-13B-GPTQ model, which is the GPTQ format quantised 4bit models of Yiming Cui's Chinese-LLaMA-Alpaca 13B for GPU reference.
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How to train a new language that is not in base model?
Could follow what people did with the Chinese-LLaMA, just for Korean. Might want to have a pure Korean corpus before feeding in a translation dataset. How big is it by the way?
- Open Source Chinese LLMs
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Its possible to fine tune the llama model to better understand another language?
Chinese: https://github.com/ymcui/Chinese-LLaMA-Alpaca
Qwen-VL
What are some alternatives?
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paxml - Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
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FLaNK-OpenAi - Chat