Gemma 4 8B E4B

User reports 165.64 t/s generation and 9555.89 t/s prompt processing. Source evidence (verbatim): Source: https://blog.majid.info/llama-bench/golgotha.txt # NVIDIA GeForce RTX 5090 Laptop GPU 24GB: original Gemma4 E4B Q4_K_M llama-bench log First-hand author log linked from https://blog.majid.info/llama-bench/ (April 13, 2026 article). Measured hardware: NVIDIA GeForce RTX 5090 Laptop GPU 24GB. Gemma4 E4B Q4_K_M GGUF, llama.cpp e3f542d8 (4236), backend CUDA. pp512 9555.89 ±101.42 tokens/s; tg128 165.64 ±0.19 tokens/s. One device, ngl -1; 23983 MiB visible VRAM, not resident use. Laptop GPU, not desktop RTX5090. CPU and system RAM unknown. Command names --hf-repo unsloth/gemma-4-E4B-it-GGUF; exact tested quantization repository https://huggingface.co/unsloth/gemma-4-E4B-it-GGUF ; tested revision unknown. Log reports 4.62 GiB model size and 7.52B counted parameters; size is not resident memory. Context depth, KV quantization, measured power, driver version and explicit speculation/concurrency declarations unreported. Raw source: https://blog.majid.info/llama-bench/golgotha.txt .