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Edge AI in Practice Series' Articles
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Running a 180B Model on a Laptop With No GPU: How 4-bit GGUF Keeps Full Accuracy
GINIGEN AI
GINIGEN AI
GINIGEN AI
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Oct 6
Running a 180B Model on a Laptop With No GPU: How 4-bit GGUF Keeps Full Accuracy
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6 min read
Building an AI That Refuses to Say "Safe": Reliability Engineering for an Offline Disaster App
GINIGEN AI
GINIGEN AI
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Oct 6
Building an AI That Refuses to Say "Safe": Reliability Engineering for an Offline Disaster App
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7 min read
4-bit GGUF Quality for MoE Models: Why Only 3B of 180B Params Fire, and How to Prove Parity
GINIGEN AI
GINIGEN AI
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Oct 6
4-bit GGUF Quality for MoE Models: Why Only 3B of 180B Params Fire, and How to Prove Parity
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7 min read
One Self-Improving Model, Eleven Number-One Titles: What That Takes
GINIGEN AI
GINIGEN AI
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Oct 11
One Self-Improving Model, Eleven Number-One Titles: What That Takes
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2 min read
Zero-Token Decisions in the Browser: On-Device Multimodal Classification with EmbeddingGemma 2 and WebGPU
GINIGEN AI
GINIGEN AI
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Oct 12
Zero-Token Decisions in the Browser: On-Device Multimodal Classification with EmbeddingGemma 2 and WebGPU
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3 min read
LFM2.5-24B-A2B on Your Own Hardware: The RAM, KV Cache and Bandwidth Budget
GINIGEN AI
GINIGEN AI
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Oct 19
LFM2.5-24B-A2B on Your Own Hardware: The RAM, KV Cache and Bandwidth Budget
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11 min read
0.1 Bits Per Weight Is Not 0.1 Bits Per Weight: Where the Bytes Go in Sub-2-Bit LLMs
GINIGEN AI
GINIGEN AI
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Oct 21
0.1 Bits Per Weight Is Not 0.1 Bits Per Weight: Where the Bytes Go in Sub-2-Bit LLMs
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14 min read
The Inference Hardware You Already Own Might Train Models Too: A 325M Pretraining Run on an NPU
GINIGEN AI
GINIGEN AI
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Oct 26
The Inference Hardware You Already Own Might Train Models Too: A 325M Pretraining Run on an NPU
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3 min read
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