Gemma-3-4b-it-Uncensored-DBL-X
DavidAU/Gemma-3-4b-it-Uncensored-DBL-XGemma-3-4b-it-Uncensored-DBL-X at Q4_K_M is exactly 2,709,839,808 bytes (2.52 GiB / 2.71 GB) — an effective 4.635 bits per weight, not the nominal 4. Its KV cache at 32K is 0.94 GiB, not the 4.75 GiB a flat formula predicts.
Shipped quantizations
| Quant | Size● | Exact bytes● | Effective bpw● | Tensors● | Publisher |
|---|---|---|---|---|---|
| I1-IQ1_S | 1.13 GiB | 1,209,700,704 | 2.069 | — | mradermacher |
| I1-IQ1_M | 1.20 GiB | 1,284,288,864 | 2.196 | — | mradermacher |
| I1-IQ2_XXS | 1.31 GiB | 1,408,602,464 | 2.409 | — | mradermacher |
| I1-IQ2_XS | 1.41 GiB | 1,514,279,264 | 2.590 | — | mradermacher |
| I1-IQ2_S | 1.46 GiB | 1,563,062,624 | 2.673 | — | mradermacher |
| I1-IQ2_M | 1.55 GiB | 1,662,513,504 | 2.843 | — | mradermacher |
| I1-Q2_K_S | 1.64 GiB | 1,760,101,984 | 3.010 | — | mradermacher |
| I1-IQ3_XXS | 1.71 GiB | 1,833,152,864 | 3.135 | — | mradermacher |
| Q2_K | 1.74 GiB | 1,867,046,848 | 3.193 | — | DavidAU |
| I1-Q2_K | 1.74 GiB | 1,867,048,544 | 3.193 | — | mradermacher |
| I1-IQ3_XS | 1.88 GiB | 2,014,463,584 | 3.445 | — | mradermacher |
| Q3_K_S | 1.96 GiB | 2,099,740,608 | 3.591 | — | DavidAU |
| I1-Q3_K_S | 1.96 GiB | 2,099,742,304 | 3.591 | — | mradermacher |
| I1-IQ3_S | 1.96 GiB | 2,099,742,304 | 3.591 | — | mradermacher |
| I1-IQ3_M | 2.01 GiB | 2,153,358,944 | 3.683 | — | mradermacher |
| Q3_K_M | 2.12 GiB | 2,278,940,608 | 3.898 | — | DavidAU |
| I1-Q3_K_M | 2.12 GiB | 2,278,942,304 | 3.898 | — | mradermacher |
| Q3_K_L | 2.27 GiB | 2,433,605,568 | 4.162 | — | DavidAU |
| I1-Q3_K_L | 2.27 GiB | 2,433,607,264 | 4.162 | — | mradermacher |
| I1-IQ4_XS | 2.29 GiB | 2,463,958,624 | 4.214 | — | mradermacher |
| IQ4_XS | 2.31 GiB | 2,480,340,928 | 4.242 | — | DavidAU |
| Q4_0 | 2.40 GiB | 2,576,023,488 | 4.406 | — | DavidAU |
| I1-IQ4_NL | 2.40 GiB | 2,576,025,184 | 4.406 | — | mradermacher |
| I1-Q4_0 | 2.41 GiB | 2,582,578,784 | 4.417 | — | mradermacher |
| IQ4_NL | 2.41 GiB | 2,589,130,688 | 4.428 | — | DavidAU |
| Q4_K_S | 2.41 GiB | 2,590,441,408 | 4.430 | — | DavidAU |
| I1-Q4_K_S | 2.41 GiB | 2,590,443,104 | 4.430 | — | mradermacher |
| Q4_K_M | 2.52 GiB | 2,709,839,808 | 4.635 | — | DavidAU |
| I1-Q4_K_M | 2.52 GiB | 2,709,841,504 | 4.635 | — | mradermacher |
| I1-Q4_1 | 2.61 GiB | 2,800,158,304 | 4.789 | — | mradermacher |
| Q5_K_S | 2.82 GiB | 3,024,289,728 | 5.172 | — | DavidAU |
| Q5_0 | 2.82 GiB | 3,024,289,728 | 5.172 | — | DavidAU |
| I1-Q5_K_S | 2.82 GiB | 3,024,291,424 | 5.172 | — | mradermacher |
| Q5_K_M | 2.88 GiB | 3,093,225,408 | 5.290 | — | DavidAU |
| I1-Q5_K_M | 2.88 GiB | 3,093,227,104 | 5.290 | — | mradermacher |
| Q6_K | 3.26 GiB | 3,500,572,608 | 5.987 | — | DavidAU |
| I1-Q6_K | 3.26 GiB | 3,500,574,304 | 5.987 | — | mradermacher |
| Q8_0 | 4.22 GiB | 4,531,657,408 | 7.750 | — | DavidAU |
| F16 | 7.94 GiB | 8,522,953,408 | 14.577 | — | DavidAU |
KV cache by context
| Context | KV cache (f16)● | Flat formula | Overstated by | Full / windowed / recurrent |
|---|---|---|---|---|
| 4,096 | 0.28 GiB | 0.59 GiB | 2.11× | 6 / 32 / 0 |
| 8,192 | 0.38 GiB | 1.19 GiB | 3.17× | 6 / 32 / 0 |
| 16,384 | 0.56 GiB | 2.38 GiB | 4.22× | 6 / 32 / 0 |
| 32,768 | 0.94 GiB | 4.75 GiB | 5.07× | 6 / 32 / 0 |
| 65,536 | 1.69 GiB | 9.50 GiB | 5.63× | 6 / 32 / 0 |
| 131,072 | 3.19 GiB | 19.00 GiB | 5.96× | 6 / 32 / 0 |
32 of 38 layers cache only a 1,024-token window rather than the full context, on a period of 6. 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 2.45 GiB. The real file is 2.52 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 4.75 GiB at 32K context where the real figure is 0.94 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 Gemma-3-4b-it-Uncensored-DBL-X need?
- Q4_K_M is exactly 2,709,839,808 bytes (2.52 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.
- How large is Gemma-3-4b-it-Uncensored-DBL-X's KV cache?
- 0.94 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 Gemma-3-4b-it-Uncensored-DBL-X 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.