Unverified50% confidenceFactExact time
Embedding Gemma 2 outputs 768-dimensional vectors (truncatable to 512, 256, or 128 dimensions), has a context length of 8,192 tokens, supports over 100 languages, and is released under the Apache 2.0 license.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
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Related Claims
UnverifiedEmbedding Gemma 2 has 740 million parameters, consisting of a 270M text encoder, a 170M vision encoder, and a 300M audio encoder, with runtime dynamic memory of approximately 191MB to 567MB; the 270M version requires a minimum of 0.5GB memory to run, and the full multimodal version can run locally with 1GB of memory.73% similarUnverifiedThe officially supported context length of Gemma 3 12B is 128K tokens, but the default num_ctx in Ollama is only 2048.62% similarUnverifiedEmbeddingGemma 2's 740M parameters are divided into a text component of 270M (backbone 130M, embedding layer 140M), a vision encoder of 170M, and an audio encoder of 300M, with all three encoders loadable on demand.60% similarUnverifiedEmbeddingGemma 2 outputs 768-dimensional vectors by default and supports truncating the output dimension to as low as 128 dimensions via Matryoshka Representation Learning.57% similarUnverifiedRTX 4090搭载的GDDR6X显存由美光（Micron）开发，采用PAM4信号编码，带宽超过1000 GB/s（1008 GB/s）56% similar
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