Melinoe-Gemma4-31B-VL
bgg1996/Melinoe-Gemma4-31B-VLMelinoe-Gemma4-31B-VL at Q4_K_M is exactly 18,687,063,488 bytes (17.40 GiB / 18.69 GB) — an effective 4.780 bits per weight, not the nominal 4. Its KV cache at 32K is 6.17 GiB, not the 30.00 GiB a flat formula predicts.
Shipped quantizations
| Quant | Size● | Exact bytes● | Effective bpw● | Tensors● | Publisher |
|---|---|---|---|---|---|
| I1-IQ1_S | 6.67 GiB | 7,156,489,952 | 1.831 | — | mradermacher |
| I1-IQ1_M | 7.20 GiB | 7,725,872,864 | 1.976 | — | mradermacher |
| I1-IQ2_XXS | 8.08 GiB | 8,674,844,384 | 2.219 | — | mradermacher |
| I1-IQ2_XS | 8.88 GiB | 9,530,359,520 | 2.438 | — | mradermacher |
| I1-IQ2_S | 9.46 GiB | 10,157,889,248 | 2.599 | — | mradermacher |
| I1-IQ2_M | 10.17 GiB | 10,917,066,464 | 2.793 | — | mradermacher |
| I1-Q2_K_S | 10.22 GiB | 10,976,589,536 | 2.808 | — | mradermacher |
| Q2_K | 11.10 GiB | 11,916,314,048 | 3.048 | — | mradermacher |
| I1-Q2_K | 11.10 GiB | 11,916,314,336 | 3.048 | — | mradermacher |
| I1-IQ3_XXS | 11.25 GiB | 12,077,508,320 | 3.090 | — | mradermacher |
| I1-IQ3_XS | 12.17 GiB | 13,072,369,376 | 3.344 | — | mradermacher |
| Q3_K_S | 12.82 GiB | 13,761,357,248 | 3.520 | — | mradermacher |
| I1-IQ3_S | 12.82 GiB | 13,761,357,536 | 3.520 | — | mradermacher |
| I1-Q3_K_S | 12.82 GiB | 13,761,357,536 | 3.520 | — | mradermacher |
| I1-IQ3_M | 13.43 GiB | 14,424,497,888 | 3.690 | — | mradermacher |
| Q3_K_M | 14.24 GiB | 15,287,109,056 | 3.911 | — | mradermacher |
| I1-Q3_K_M | 14.24 GiB | 15,287,109,344 | 3.911 | — | mradermacher |
| Q3_K_L | 15.49 GiB | 16,628,270,528 | 4.254 | — | mradermacher |
| I1-Q3_K_L | 15.49 GiB | 16,628,270,816 | 4.254 | — | mradermacher |
| I1-IQ4_XS | 15.59 GiB | 16,735,790,816 | 4.281 | — | mradermacher |
| IQ4_XS | 15.70 GiB | 16,862,234,048 | 4.314 | — | mradermacher |
| I1-Q4_0 | 16.49 GiB | 17,701,578,464 | 4.528 | — | mradermacher |
| Q4_K_S | 16.54 GiB | 17,763,165,632 | 4.544 | — | mradermacher |
| I1-Q4_K_S | 16.54 GiB | 17,763,165,920 | 4.544 | — | mradermacher |
| Q4_K_M | 17.40 GiB | 18,687,063,488 | 4.780 | — | mradermacher |
| I1-Q4_K_M | 17.40 GiB | 18,687,063,776 | 4.780 | — | mradermacher |
| I1-Q4_1 | 18.14 GiB | 19,481,421,536 | 4.984 | — | mradermacher |
| Q5_K_S | 19.85 GiB | 21,311,841,728 | 5.452 | — | mradermacher |
| I1-Q5_K_S | 19.85 GiB | 21,311,842,016 | 5.452 | — | mradermacher |
| Q5_K_M | 20.35 GiB | 21,845,571,008 | 5.588 | — | mradermacher |
| I1-Q5_K_M | 20.35 GiB | 21,845,571,296 | 5.588 | — | mradermacher |
| Q6_K | 23.47 GiB | 25,201,485,248 | 6.447 | — | mradermacher |
| I1-Q6_K | 23.47 GiB | 25,201,485,536 | 6.447 | — | mradermacher |
| Q8_0 | 30.39 GiB | 32,635,676,096 | 8.349 | — | mradermacher |
KV cache by context
| Context | KV cache (f16)● | Flat formula | Overstated by | Full / windowed / recurrent |
|---|---|---|---|---|
| 4,096 | 1.80 GiB | 3.75 GiB | 2.09× | 10 / 50 / 0 |
| 8,192 | 2.42 GiB | 7.50 GiB | 3.10× | 10 / 50 / 0 |
| 16,384 | 3.67 GiB | 15.00 GiB | 4.09× | 10 / 50 / 0 |
| 32,768 | 6.17 GiB | 30.00 GiB | 4.86× | 10 / 50 / 0 |
| 65,536 | 11.17 GiB | 60.00 GiB | 5.37× | 10 / 50 / 0 |
| 131,072 | 21.17 GiB | 120.00 GiB | 5.67× | 10 / 50 / 0 |
50 of 60 layers cache only a 1,024-token window rather than the full context, on a period of . Figures assume the default configuration; --swa-full disables the saving entirely.
Compare with
Will it run on your card?
Why other calculators give a different number
A parameters × bits ÷ 8 estimate puts Q4_K_M at roughly 16.38 GiB. The real file is 17.40 GiB, because a quantization is a mixture and some tensors are always kept at higher precision. The larger discrepancy is the cache: a flat formula gives 30.00 GiB at 32K context where the real figure is 6.17 GiB, because most of this model's layers cache a fixed window rather than the whole context.
Architecture
Questions people ask
- How much VRAM does Melinoe-Gemma4-31B-VL need?
- Q4_K_M is exactly 18,687,063,488 bytes (17.40 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.
- How large is Melinoe-Gemma4-31B-VL's KV cache?
- 6.17 GiB at 32K context with an f16 cache, computed per layer. Quantizing the cache to q8_0 roughly halves it, which is often the difference between a context length fitting and not.
- Which quantization of Melinoe-Gemma4-31B-VL should I use?
- Q4_K_M is the usual default. Pick the largest quantization that fits your card at the context you actually need — the table above gives exact sizes for every one published.