32K Context
PulseAugur coverage of 32K Context — every cluster mentioning 32K Context across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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How to run local AI models on older hardware
Running large language models locally on older or less powerful hardware requires careful selection of model size and quantization to ensure usability. Smaller models, such as 7B to 9B parameter models with Q4 quantizat…
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IBM Research unveils Vakra and Granite Embedding Multilingual R2 models
IBM Research has released two new models: Vakra, designed for analyzing agent reasoning and tool usage, and Granite Embedding Multilingual R2, an open-source multilingual embedding model with a 32K context window. Vakra…
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IBM releases open-source multilingual embedding model with 32K context
IBM has released Granite Embedding Multilingual R2, an open-source embedding model under the Apache 2.0 license. This model supports a 32K context window and claims to achieve top-tier search quality with less than 100 …
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IBM releases open-source multilingual embedding model with 32K context
IBM has released Granite Embedding Multilingual R2, an open-source embedding model under the Apache 2.0 license. This model supports a 32K context window and aims to achieve top-tier search quality with fewer than 100 m…