Can I run gemma-4-E4B-it-GGUF on an RTX 4080?
Yes
Its UD-Q8_K_XL file (8.71 GB) fits in the 14.4 GB an RTX 4080 can use, with room for ≈ 128K tokens of context.
Full analysis of gemma-4-E4B-it-GGUF
Everything that runs on RTX 4080
Get the UD-Q8_K_XL file on Hugging Face
ollama run hf.co/unsloth/gemma-4-E4B-it-GGUF:UD-Q8_K_XLFiles and context on RTX 4080
Each file of gemma-4-E4B-it-GGUF (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.
| File | Size | On RTX 4080 | Context (16-bit) | Context (8-bit) |
|---|---|---|---|---|
| BF16 | 15.1 GB | Doesn't fit | — | — |
| UD-Q8_K_XL | 8.71 GB | Fits | 128K | 128K |
| Q8_0 | 8.19 GB | Fits | 128K | 128K |
| UD-Q6_K_XL | 7.46 GB | Fits | 128K | 128K |
| Q6_K | 7.07 GB | Fits | 128K | 128K |
| UD-Q5_K_XL | 6.66 GB | Fits | 128K | 128K |
| Q5_K_M | 5.48 GB | Fits | 128K | 128K |
| Q5_K_S | 5.40 GB | Fits | 128K | 128K |
| UD-Q4_K_XL | 5.13 GB | Fits | 128K | 128K |
| Q4_1 | 5.07 GB | Fits | 128K | 128K |
| Q4_K_M | 4.98 GB | Fits | 128K | 128K |
| Q4_K_S | 4.84 GB | Fits | 128K | 128K |
| Q4_0 | 4.84 GB | Fits | 128K | 128K |
| IQ4_NL | 4.84 GB | Fits | 128K | 128K |
| IQ4_XS | 4.72 GB | Fits | 128K | 128K |
| UD-Q3_K_XL | 4.59 GB | Fits | 128K | 128K |
| Q3_K_M | 4.06 GB | Fits | 128K | 128K |
| Q3_K_S | 3.86 GB | Fits | 128K | 128K |
| UD-Q2_K_XL | 3.76 GB | Fits | 128K | 128K |
| UD-IQ3_XXS | 3.72 GB | Fits | 128K | 128K |
| UD-IQ2_M | 3.55 GB | Fits | 128K | 128K |