§01·compatibility · /check
Gemma 4 E4B-IT on RTX 5080
Yes — a published step-by-step recipe documents running Gemma 4 E4B-IT on the RTX 5080 (16 GB). Community benchmark numbers aren't seeded yet, so measured speed and peak VRAM aren't shown.
✓ recipemultimodalactive50 series16GB VRAM
model
- name
- Gemma 4 E4B-IT
- slug
- gemma-4-e4b
- vertical
- multimodal
- status
- active
- repo
- huggingface.co ↗
§02·benchmarks
No verified benchmarks yet. Be the first to contribute one.
§03·common questions
Can you run Gemma 4 E4B-IT on RTX 5080?
Yes — a published step-by-step recipe documents running Gemma 4 E4B-IT on the RTX 5080 (16 GB). Community benchmark numbers aren't seeded yet, so measured speed and peak VRAM aren't shown.
Are there step-by-step instructions for Gemma 4 E4B-IT on RTX 5080?
Yes — a step-by-step recipe documents Gemma 4 E4B-IT on the RTX 5080; see the recipes listed below.
§04·related recipes
- multimodalbeginner6GB+
Gemma 4 E4B on RTX 5080: Multimodal Inference via Q4_K_M GGUF (llama.cpp or Ollama — BF16 will not fit comfortably)
- multimodalbeginner5GB+
Gemma 4 E4B on Apple M2 Pro: local vision-language inference in 16 GB unified memory with MLX-VLM
- multimodalbeginner5GB+
Gemma 4 E4B on Apple M3 Max: local vision-language inference in unified memory with MLX-VLM
- multimodalbeginner5GB+
Gemma 4 E4B on Apple M4 Max: local vision-language inference in unified memory with MLX-VLM
- multimodalbeginner5GB+
Gemma 4 E4B on Apple M2 Max: local vision-language inference in unified memory with MLX-VLM