Expired50% confidenceFactExact time
The officially supported context length of Gemma 3 12B is 128K tokens, but the default num_ctx in Ollama is only 2048.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/13/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/11/2026(expired)
Sources
本地Gemma 3 12B变身AI Agent实战指南：工具调用与框架选择
redditr/aiagents7/12/2026
Related Claims
UnverifiedThe FP16 version of Gemma 3 12B requires approximately 24 GB of VRAM, while the Q4_K_M version reduces this to approximately 7–8 GB, with inference speed improving by approximately 2–3x and structured output accuracy losing only approximately 2–5%.72% similarUnverifiedThe Gemma 4 26B model is approximately 17 GB and is best suited for GPUs with 24 GB or more of VRAM, delivering the best programming performance69% similarUnverifiedThe Gemma 3 series released in 2025 expands multimodal capabilities, supports image understanding, and extends the context window to 128K tokens.67% similarUnverifiedOn the RTX 5090, the Qwen3.6 35B-A3B achieves an inference speed of 220 tokens/s with approximately 23 GB of VRAM usage.65% similarUnverifiedThe latest model's context length has reached 128K tokens.64% similar
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