Comments (11)
r u run phi3 ok?
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r u run phi3 ok?
What do you mean?
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The 128k version could allow us to analyze a pdf from the phone. the 4k version would probably be less cpu intensive and would work out of the box.
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sorry.i want to known that are yiu run phi3 mini model on the phone?i i run it with onnxruntime genai but it's too slow
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Well I use phi2 all the time using ml. Android on my phone with Snapdragon 2nd gen and it works really good and smooth. That is why I would like to know how I can put phi 3 on mlc.
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Have you tried following the instructions for building new models?
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Tried following the instructions, and got the error:
ValueError: Unknown model type: phi3. Available ones: ['llama', 'mistral', 'gemma', 'gpt2', 'mixtral', 'gpt_neox', 'gpt_bigcode', 'phi-msft', 'phi', 'qwen', 'qwen2', 'stablelm', 'baichuan', 'internlm', 'rwkv5', 'orion', 'llava', 'rwkv6', 'chatglm', 'eagle']
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I would try to add the string "phi3" to the list
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@kripper thanks for your advice, the MODELS is not really just a list with a model name, it is a dict with the model name as key and the corresponding loader and implementation.
I've tried specify the --model-type phi-msft
but without luck.
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I would first research if the model loader is compatible with previous versions. If so, map the ID to the existing loader. Otherwise, create a new loader and have fun hacking, ie:
- research what changed by comparing (diff) the official loader for the previous and new versions.
- replicate those changes in mlc-llm's loader
Always prefere to share a same code base for the old and new model and use conditions (if(version == 1) {...} else if(version == 3) {...}
).
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Once this is figured out please update the android app apk with phi3. ❤️
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Related Issues (20)
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