🎉 News
- [2025-05] Paper TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks has been accepted by the top NLP conference ACL. Model Download.
- [2025-03] Paper GeoFactory: an LLM Performance Enhancement Framework for Geoscience Factual and Inferential Tasks has been accepted by the journal Big Earth Data. Data Download.
- [2025-03] Paper ClimateChat: Designing Data and Methods for Instruction Tuning LLMs to Answer Climate Change Queries has been accepted by the International Conference on Learning Representations (ICLR). Model Download.
- [2024-12] Paper JiuZhou: Open Foundation Language Models and Effective Pre-training Framework for Geoscience has been accepted by the International Journal of Digital Earth. Model Introduction. Project Repository.
- [2024-09] Released chat model ClimateChat.
- [2024-08] Paper PreparedLLM: Effective Pre-pretraining Framework for Domain-specific Large Language Models has been accepted by the journal Big Earth Data. WeChat article: PreparedLLM: Effective Pre-pretraining Framework for Domain-specific Large Language Models. Model Download.
- [2024-08] Released chat model Chinese-Mistral-7B-Instruct-v0.2, featuring significantly improved language understanding and multi-turn conversation capabilities.
- [2024-06] Released chat model JiuZhou-Instruct-v0.2, with significantly enhanced language understanding and multi-turn conversation capabilities.
- [2024-05] WeChat Article: Chinese Vocabulary Expansion Incremental Pretraining for Large Language Models: Chinese-Mistral Released.
- [2024-03] Released base model Chinese-Mistral-7B-v0.1 and chat model Chinese-Mistral-7B-Instruct-v0.1. Model Introduction. Project Repository.
- [2024-03] Released JiuZhou's base version JiuZhou-base, instruct version JiuZhou-instruct-v0.1, and intermediate checkpoints. Model Introduction. Project Repository.
- [2024-01] Completed training of Chinese-Mistral and JiuZhou, and commenced model evaluation.
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| Model Series | Model | Download Link | Description |
|---|---|---|---|
| JiuZhou | JiuZhou-base | Huggingface | Base model (Rich in geoscience knowledge) |
| JiuZhou | JiuZhou-Instruct-v0.1 | Huggingface | Instruct model (Instruction alignment caused a loss of some geoscience knowledge, but it has instruction-following ability) LoRA fine-tuned on Alpaca_GPT4 in both Chinese and English and GeoSignal |
| JiuZhou | JiuZhou-Instruct-v0.2 | HuggingFaceWisemodel | Instruct model (Instruction alignment caused a loss of some geoscience knowledge, but it has instruction-following ability) Fine-tuned with high-quality general instruction data |
| ClimateChat | ClimateChat | HuggingFaceWisemodel | Instruct model Fine-tuned on JiuZhou-base for instruction following |
| Chinese-Mistral | Chinese-Mistral-7B | HuggingFaceWisemodelModelScope | Base model |
| Chinese-Mistral | Chinese-Mistral-7B-Instruct-v0.1 | HuggingFaceWisemodelModelScope | Instruct model LoRA fine-tuned with Alpaca_GPT4 in both Chinese and English |
| Chinese-Mistral | Chinese-Mistral-7B-Instruct-v0.2 | HuggingFaceWisemodel | Instruct model LoRA fine-tuned with a million high-quality instructions |
| PreparedLLM | Prepared-Llama | HuggingfaceWisemodel | Base model Continual pretraining with a small number of geoscience data Recommended to use JiuZhou |