gemma-4-E2B-it-ultra-uncensored-heretic
llmfan46/gemma-4-E2B-it-ultra-uncensored-hereticgemma-4-E2B-it-ultra-uncensored-heretic at Q4_K_M is exactly 3,094,874,720 bytes (2.88 GiB / 3.09 GB) — an effective 4.833 bits per weight, not the nominal 4. Its KV cache at 32K is 0.25 GiB, not the 1.09 GiB a flat formula predicts.
Shipped quantizations
| Quant | Size● | Exact bytes● | Effective bpw● | Tensors● | Publisher |
|---|---|---|---|---|---|
| IQ2_M | 2.12 GiB | 2,280,213,088 | 3.561 | — | JMingo |
| IQ3_XXS | 2.20 GiB | 2,362,346,080 | 3.689 | — | JMingo |
| Q3_K_S | 2.27 GiB | 2,437,511,776 | 3.806 | — | JMingo |
| Q3_K_M | 2.35 GiB | 2,527,392,352 | 3.947 | — | JMingo |
| IQ4_XS | 2.77 GiB | 2,972,117,600 | 4.641 | — | JMingo |
| I1-Q2_K | 2.78 GiB | 2,989,086,848 | 4.668 | — | mradermacher |
| IQ4_NL | 2.82 GiB | 3,029,256,800 | 4.730 | — | JMingo |
| Q4_0 | 2.82 GiB | 3,030,731,360 | 4.733 | — | JMingo |
| Q4_K_S | 2.82 GiB | 3,033,287,264 | 4.737 | — | JMingo |
| Q4_K_M | 2.88 GiB | 3,094,874,720 | 4.833 | — | JMingo |
| I1-Q3_K_S | 2.90 GiB | 3,110,215,808 | 4.857 | — | mradermacher |
| I1-IQ3_S | 2.90 GiB | 3,112,409,216 | 4.860 | — | mradermacher |
| I1-IQ3_M | 2.92 GiB | 3,134,969,984 | 4.895 | — | mradermacher |
| Q4_1 | 2.93 GiB | 3,143,092,832 | 4.908 | — | JMingo |
| I1-Q3_K_M | 2.98 GiB | 3,201,349,760 | 4.999 | — | mradermacher |
| I1-Q3_K_L | 3.06 GiB | 3,282,352,256 | 5.125 | — | mradermacher |
| I1-IQ4_XS | 3.08 GiB | 3,303,929,984 | 5.159 | — | mradermacher |
| Q5_K_S | 3.08 GiB | 3,308,145,248 | 5.166 | — | JMingo |
| Q5_K_M | 3.11 GiB | 3,342,404,192 | 5.219 | — | JMingo |
| I1-IQ4_NL | 3.13 GiB | 3,362,224,256 | 5.250 | — | mradermacher |
| I1-Q4_0 | 3.13 GiB | 3,362,519,168 | 5.251 | — | mradermacher |
| I1-Q4_K_S | 3.13 GiB | 3,365,075,072 | 5.255 | — | mradermacher |
| I1-Q4_K_M | 3.19 GiB | 3,427,879,040 | 5.353 | — | mradermacher |
| Q4_K_M | 3.19 GiB | 3,427,879,136 | 5.353 | — | llmfan46 |
| I1-Q4_1 | 3.24 GiB | 3,477,780,608 | 5.431 | — | mradermacher |
| I1-Q5_K_S | 3.35 GiB | 3,595,401,344 | 5.614 | — | mradermacher |
| Q5_K_S | 3.35 GiB | 3,595,401,440 | 5.614 | — | llmfan46 |
| I1-Q5_K_M | 3.38 GiB | 3,630,286,976 | 5.669 | — | mradermacher |
| Q5_K_M | 3.38 GiB | 3,630,287,072 | 5.669 | — | llmfan46 |
| I1-Q6_K | 3.58 GiB | 3,845,345,408 | 6.005 | — | mradermacher |
| Q6_K | 3.58 GiB | 3,845,345,504 | 6.005 | — | llmfan46 |
| Q6_K | 4.18 GiB | 4,486,208,096 | 7.005 | — | JMingo |
| Q8_0 | 4.63 GiB | 4,967,495,904 | 7.757 | — | llmfan46 |
| Q8_0 | 4.68 GiB | 5,028,268,640 | 7.852 | — | JMingo |
| BF16 | 8.64 GiB | 9,273,526,656 | 14.481 | — | JMingo |
| BF16 | 8.67 GiB | 9,311,303,904 | 14.540 | — | llmfan46 |
KV cache by context
| Context | KV cache (f16)● | Flat formula | Overstated by | Full / windowed / recurrent |
|---|---|---|---|---|
| 4,096 | 0.05 GiB | 0.14 GiB | 2.50× | 7 / 28 / 0 |
| 8,192 | 0.08 GiB | 0.27 GiB | 3.33× | 7 / 28 / 0 |
| 16,384 | 0.14 GiB | 0.55 GiB | 4.00× | 7 / 28 / 0 |
| 32,768 | 0.25 GiB | 1.09 GiB | 4.44× | 7 / 28 / 0 |
| 65,536 | 0.46 GiB | 2.19 GiB | 4.71× | 7 / 28 / 0 |
| 131,072 | 0.90 GiB | 4.38 GiB | 4.85× | 7 / 28 / 0 |
28 of 35 layers cache only a 512-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 2.68 GiB. The real file is 2.88 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 1.09 GiB at 32K context where the real figure is 0.25 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-4-E2B-it-ultra-uncensored-heretic need?
- Q4_K_M is exactly 3,094,874,720 bytes (2.88 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-4-E2B-it-ultra-uncensored-heretic's KV cache?
- 0.25 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-4-E2B-it-ultra-uncensored-heretic 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.