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https://github.com/lyogavin/airllm
AirLLM 70B inference with single 4GB GPU
https://github.com/lyogavin/airllm
chinese-llm chinese-nlp finetune generative-ai instruct-gpt instruction-set llama llm lora open-models open-source open-source-models qlora
Last synced: about 1 month ago
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AirLLM 70B inference with single 4GB GPU
- Host: GitHub
- URL: https://github.com/lyogavin/airllm
- Owner: lyogavin
- License: apache-2.0
- Created: 2023-06-12T16:28:41.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-07-29T21:22:55.000Z (about 1 month ago)
- Last Synced: 2024-07-30T22:13:08.120Z (about 1 month ago)
- Topics: chinese-llm, chinese-nlp, finetune, generative-ai, instruct-gpt, instruction-set, llama, llm, lora, open-models, open-source, open-source-models, qlora
- Language: Jupyter Notebook
- Homepage:
- Size: 3.24 MB
- Stars: 3,516
- Watchers: 98
- Forks: 293
- Open Issues: 68
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Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
- awesome-production-machine-learning - AirLLM - AirLLM optimizes inference memory usage, allowing 70B large language models to run inference on a single 4GB GPU card without quantization, distillation and pruning. (Model Serving and Monitoring)
- awesome-LLM-resourses - AirLLM