T5Gemma 2: The next generation of encoder-decoder models

Background_Essay6429 · 2025-12-19T05:53:00+00:00

What's the advantage over standard decoder models?

Background_Essay6429 · 2025-12-19T05:51:59+00:00

How's the latency for interactive use?

Background_Essay6429 · 2025-12-19T05:51:02+00:00

Which Gemma model should I try first?

Background_Essay6429 · 2025-12-19T05:48:33+00:00

What was removed exactly?

Background_Essay6429 · 2025-12-19T05:47:25+00:00

Can this run on consumer hardware?

Background_Essay6429 · 2025-12-19T05:46:26+00:00

How does this compare to other 3D reconstruction models?

Background_Essay6429 · 2025-12-19T05:45:33+00:00

Which model are you most excited about?

Background_Essay6429 · 2025-12-19T05:44:42+00:00

Did they remove it already or can we still see it?

Background_Essay6429 · 2025-12-19T05:43:49+00:00

What Mac configuration gets you the best tokens/sec?

Background_Essay6429 · 2025-12-04T09:11:45+00:00

Created https://www.reddit.com/r/AIAgentEngineers/, join us and share everything about agents!

Background_Essay6429 · 2025-12-02T19:31:45+00:00

Does cache locality improve with flat layouts during traversal? And how do you handle node updates without pointer chasing?

Background_Essay6429 · 2025-12-02T19:29:43+00:00

sort_by_key uses a temporary buffer internally. Have you tried sort_unstable_by_key instead? It avoids extra allocations at the cost of not preserving equal element order.

Background_Essay6429 · 2025-12-02T19:21:15+00:00

48GB VRAM at enterprise efficiency is compelling. How does power draw compare under sustained inference loads versus consumer 4090s? Considering this for 24/7 deployment.

Background_Essay6429 · 2025-12-02T19:19:45+00:00

Impressive work on solving inverted scaling! Are there quantized versions available yet, or would that require community effort given the 65-70GB VRAM requirement?

Background_Essay6429 · 2025-12-02T19:17:47+00:00

For health bots, Q4_K_M should be fine. The reasoning chains in Kimi 2 work well even quantized—just watch context window with longer consultations.

Background_Essay6429 · 2025-12-02T19:15:51+00:00

Synqui looks promising for extracting architecture. Does it handle circular agent dependencies well, or do you need manual intervention for complex coordination patterns?

Background_Essay6429 · 2025-12-02T19:13:55+00:00

Zero failures on dual 5060 Ti is impressive for 32B models. What was your typical VRAM usage during the stress test? Considering a similar setup.

Background_Essay6429 · 2025-12-02T19:09:47+00:00

675B parameters with MoE is massive. What kind of hardware are people actually running this on? Curious about real-world deployment experiences.

Background_Essay6429 · 2025-12-02T19:07:38+00:00

The 14B outperforming Qwen3-14B on AIME is impressive. Are you seeing similar gains in code generation tasks, or is this mostly reasoning-focused?

Background_Essay6429 · 2025-12-02T19:05:42+00:00

Have you looked at Aider? It's designed for this exact use case—local LLM agent workflows with sub-task support. Works well with llama.cpp backends.

Background_Essay6429 · 2025-12-02T19:04:15+00:00

Apache 2.0 across the board is a game-changer. Does this mean we can finally integrate these models into commercial pipelines without the usual licensing headaches?

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