§01·compatibility · /check
Gemma 4 E4B-IT on RTX 5060
No verified community benchmarks yet for Gemma 4 E4B-IT on the RTX 5060 (8 GB).
? untestedmultimodalactive50 series8GB 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 5060?
No verified community benchmarks yet for Gemma 4 E4B-IT on the RTX 5060 (8 GB).
Are there step-by-step instructions for Gemma 4 E4B-IT on RTX 5060?
Yes — a step-by-step recipe documents Gemma 4 E4B-IT on the RTX 5060; see the recipes listed below.
§04·related recipes
- multimodalbeginner6GB+
Gemma 4 E4B on RTX 5060: Multimodal Inference via Q4_K_M GGUF (llama.cpp or Ollama)
- multimodalbeginner6GB+
Gemma 4 E4B on RX 7800 XT: Multimodal Inference via ROCm (Ollama or llama.cpp-HIP GGUF, with Q8_0)
- multimodalbeginner6GB+
Gemma 4 E4B on RTX 4080: Multimodal Inference via Q4_K_M GGUF (with optional Q8_0 / BF16)
- multimodalbeginner6GB+
Gemma 4 E4B on RTX 4080 SUPER: Multimodal Inference via Q4_K_M GGUF (with optional Q8_0 / BF16)
- multimodalbeginner6GB+
Gemma 4 E4B on RTX 4070 Ti SUPER: Multimodal Inference via Q4_K_M GGUF (with optional Q8_0 / BF16)