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tencent-hunyuan/hy-mt2
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476
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Python
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NOASSERTION
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Set up Hy-MT2-1.8B-GGUF in llama.cpp and run a Chinese to English translation with the default prompt template
Compare Hy-MT2-7B-FP8 to Hy-MT2-30B-A3B-FP8 on a sample of my own documents using vLLM
Wire the Hy-MT2 terminology prompt template into a glossary-driven CAT-tool style script for product strings
Quantize Hy-MT2-1.8B to 1.25-bit using AngelSlim and measure the speedup vs the FP16 build on my hardware
Run the IFMTBench from Hy-MT2 against an OpenAI translation prompt and report the gap
Full explanation on explaingit →
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