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[GH-ISSUE #8] Is there a plan to release a smaller model? #6
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Originally created by @lingyezhixing on GitHub (Dec 26, 2024).
Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-V3/issues/8
Thank you very much for your work, the new V3 model is very powerful, but this model is too large. Is there a plan to release a smaller model around 14B like V2?
@YangWang92 commented on GitHub (Dec 27, 2024):
I found that they have some configurations https://github.com/deepseek-ai/DeepSeek-V3/tree/main/inference/configs, which include 16B/236B/671B.
@lebronjamesking commented on GitHub (Dec 27, 2024):
Looking forward to it. A small size version would be perfect.
@silentlustre commented on GitHub (Dec 27, 2024):
in the paper, they trained the 16B and 236B models for ablation, these were not trained to completion.
i'm holding out hope that they'll go back and train them all the way
@KirariSpark commented on GitHub (Dec 29, 2024):
It will be great if the training is completed! I don't have much VRAM, 16b is all I can afford😂
@pizts commented on GitHub (Dec 30, 2024):
Are there any plans to release int4 quantization?
@workatcam commented on GitHub (Jan 1, 2025):
https://huggingface.co/inarikami/DeepSeek-V3-int4-TensorRT
@XksA-me commented on GitHub (Jan 13, 2025):
How should I use it? Do I need to download the model first and then run trtllm-build? Is there any pre-built file? Thanks for your reply.
@github-actions[bot] commented on GitHub (Feb 14, 2025):
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. If you believe this issue is still relevant, please leave a comment to keep it open. Thank you for your contributions!
@MrAppAndCrap commented on GitHub (Feb 25, 2025):
I'd like to see a mini version as well :)