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Ronan Takizawa PRO

ronantakizawa

AI & ML interests

OSS Contributor @ Google AI, Databricks, Apache. 100k+ followers online

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Introducing the Finance-Instruct-500k-Japanese dataset 🎉 This is a Japanese-translated version of the @Josephgflowers Finance-Instruct-500k dataset, which includes complex questions and answers related to finance and Economics. #datasets #finance #finance-instruct #japanese https://huggingface.co/datasets/ronantakizawa/Finance-Instruct-500k-Japanese

updated a dataset 1 day ago

ronantakizawa/jfleg-japanese

upvoted an article 1 day ago

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Introducing the Finance-Instruct-500k-Japanese dataset 🎉

This is a Japanese-translated version of the @Josephgflowers Finance-Instruct-500k dataset, which includes complex questions and answers related to finance and Economics.

#datasets #finance #finance-instruct #japanese

ronantakizawa/Finance-Instruct-500k-Japanese

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Excited to announce 4 AWQ quantized models from #AllenAI! 🎉

Molmo-7B-D AWQ (14GB→5GB): Efficient VLM performing between GPT-4V and GPT-4o on academic benchmarks, with just 6.1% perplexity degradation.

MolmoAct-7B-D AWQ (14GB→6GB): Specialized robotic manipulation model reduced by ~57%.

Molmo-72B AWQ (145GB→38GB): VLM with Qwen2-72B decoder that performs competitively with GPT-4, achieving only 10.5% perplexity degradation while saving 107GB of memory.

OLMo-2-32B-Instruct AWQ (64GB→17GB): LLM post-trained on Tülu 3 with 3% perplexity degradation while saving ~50GB.

All VLMs only had their text models quantized.

ronantakizawa/molmo-7b-d-awq
ronantakizawa/molmoact-7b-d-awq
ronantakizawa/molmo-72b-awq
ronantakizawa/olmo2-32b-instruct-awq

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