FEAT: Kimi-VL-A3B #3372
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FEAT: Kimi-VL-A3B #3372
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Just found this info after I failed to try the Kimi-VL by Xinference. Is there any plan to make it merged? |
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I just tried in the xinference latest docker with cmd below, and seems that it works (on 1 H20 96G): python3 -m vllm.entrypoints.openai.api_server --port 8888 --served-model-name kimi-vl --trust-remote-code --model /workspace/modelscope/hub/models/moonshotai/Kimi-VL-A3B-Thinking/ --tensor-parallel-size 1 --max-num-batched-tokens 131072 --max-model-len 131072 --max-num-seqs 512 --limit-mm-per-prompt image=256 |
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