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0 karma0 postsjoined 6 months ago

🌐 dev.toSource

On a 4 GB GTX 1650 Ti, Gemma 4 E2B does not fit in 16-bit, and Transformers' own 4-bit path runs out of memory on its first forward pass. Kept in Google's QAT 4-bit end to end, with a few Triton kernels and a CUDA graph, plain PyTorch decodes at 88 tok/s, 1.07x llama.cpp on the s

2 days ago

🌐 dev.toSource

Five Colab notebooks take Gemma 4 E2B on one v5e chip from 5 tokens per second under Hugging Face generate to 50 with one compiled decode step, and to the full 131,072-token context with a ring cache, against a JAX engine on the same chip.

3 days ago

🌐 dev.toSource

A full LineageOS 24.0 build outgrows a 32 GB home machine. A 192-core EC2 instance runs the long build, the 266 GB tree comes home at the same path, and the home machine packages the zip next to the phone. Claude Code drives both ends.

3 days ago

🌐 dev.toSource

From Dev.to - ai: Gemma 4 26B on v6e-4 Turbo-Stable Benchmark

6 months ago

🌐 dev.toSource

From Dev Community: vLLM Gemma4 26B Tuning on v6e-4

6 months ago

🌐 dev.toSource

From Dev.to - rust: Deploying a Rust MCP Server to Amazon Lambda with Gemini CLI

6 months ago

🌐 dev.toSource

From Dev Community: KV FP8 with Gemma4 26B

6 months ago

🌐 dev.toSource

From Dev.to - aws: Deploying a Rust MCP Server to Amazon EKS

6 months ago

🌐 dev.toSource

From Dev RSS Feed: Is Brain Float (bf16) Worth it?

6 months ago