Darwin-4B-Chimera
FINAL-Bench/Darwin-4B-ChimeraDarwin-4B-Chimera at Q4_K_M is exactly 2,497,281,088 bytes (2.33 GiB / 2.50 GB) — an effective 4.967 bits per weight, not the nominal 4. Its KV cache at 32K is 1.28 GiB, not the 4.50 GiB a flat formula predicts.
Shipped quantizations
| Quant | Size● | Exact bytes● | Effective bpw● | Tensors● | Publisher |
|---|---|---|---|---|---|
| I1-IQ1_S | 0.98 GiB | 1,055,256,384 | 2.099 | — | mradermacher |
| I1-IQ1_M | 1.05 GiB | 1,127,018,304 | 2.241 | — | mradermacher |
| I1-IQ2_XXS | 1.16 GiB | 1,246,621,504 | 2.479 | — | mradermacher |
| I1-IQ2_XS | 1.26 GiB | 1,354,100,544 | 2.693 | — | mradermacher |
| I1-IQ2_S | 1.32 GiB | 1,417,301,824 | 2.819 | — | mradermacher |
| I1-IQ2_M | 1.41 GiB | 1,512,984,384 | 3.009 | — | mradermacher |
| I1-Q2_K_S | 1.46 GiB | 1,563,454,784 | 3.109 | — | mradermacher |
| Q2_K | 1.55 GiB | 1,669,499,968 | 3.320 | — | mradermacher |
| I1-Q2_K | 1.55 GiB | 1,669,500,224 | 3.320 | — | mradermacher |
| I1-IQ3_XXS | 1.56 GiB | 1,670,188,864 | 3.322 | — | mradermacher |
| IQ2_M | 1.58 GiB | 1,693,904,288 | 3.369 | — | bartowski |
| Q2_K | 1.64 GiB | 1,762,397,088 | 3.505 | — | bartowski |
| IQ3_XXS | 1.66 GiB | 1,782,255,008 | 3.545 | — | bartowski |
| I1-IQ3_XS | 1.69 GiB | 1,814,375,744 | 3.608 | — | mradermacher |
| Q2_K_L | 1.73 GiB | 1,856,597,408 | 3.692 | — | bartowski |
| Q3_K_S | 1.76 GiB | 1,886,997,568 | 3.753 | — | mradermacher |
| I1-Q3_K_S | 1.76 GiB | 1,886,997,824 | 3.753 | — | mradermacher |
| I1-IQ3_S | 1.77 GiB | 1,899,531,584 | 3.778 | — | mradermacher |
| IQ3_XS | 1.78 GiB | 1,910,221,728 | 3.799 | — | bartowski |
| Q3_K_S | 1.83 GiB | 1,960,725,408 | 3.900 | — | bartowski |
| I1-IQ3_M | 1.83 GiB | 1,962,896,704 | 3.904 | — | mradermacher |
| IQ3_M | 1.91 GiB | 2,048,420,768 | 4.074 | — | bartowski |
| Q3_K_M | 1.93 GiB | 2,075,618,368 | 4.128 | — | mradermacher |
| I1-Q3_K_M | 1.93 GiB | 2,075,618,624 | 4.128 | — | mradermacher |
| Q3_K_M | 2.01 GiB | 2,154,589,088 | 4.285 | — | bartowski |
| Q3_K_L | 2.09 GiB | 2,239,786,048 | 4.455 | — | mradermacher |
| I1-Q3_K_L | 2.09 GiB | 2,239,786,304 | 4.455 | — | mradermacher |
| Q3_K_L | 2.11 GiB | 2,266,327,968 | 4.507 | — | bartowski |
| I1-IQ4_XS | 2.11 GiB | 2,270,752,064 | 4.516 | — | mradermacher |
| IQ4_XS | 2.13 GiB | 2,286,316,608 | 4.547 | — | mradermacher |
| IQ4_XS | 2.18 GiB | 2,337,844,128 | 4.650 | — | bartowski |
| I1-Q4_0 | 2.21 GiB | 2,375,773,504 | 4.725 | — | mradermacher |
| I1-IQ4_NL | 2.22 GiB | 2,381,344,064 | 4.736 | — | mradermacher |
| Q4_K_S | 2.22 GiB | 2,383,309,888 | 4.740 | — | mradermacher |
| I1-Q4_K_S | 2.22 GiB | 2,383,310,144 | 4.740 | — | mradermacher |
| Q4_0 | 2.26 GiB | 2,424,433,568 | 4.822 | — | bartowski |
| Q4_K_S | 2.27 GiB | 2,436,557,728 | 4.846 | — | bartowski |
| IQ4_NL | 2.27 GiB | 2,442,537,888 | 4.858 | — | bartowski |
| Q4_K_M | 2.33 GiB | 2,497,281,088 | 4.967 | — | mradermacher |
| I1-Q4_K_M | 2.33 GiB | 2,497,281,344 | 4.967 | — | mradermacher |
KV cache by context
| Context | KV cache (f16)● | Flat formula | Overstated by | Full / windowed / recurrent |
|---|---|---|---|---|
| 4,096 | 0.56 GiB | 0.56 GiB | — | 6 / 30 / 0 |
| 8,192 | 0.71 GiB | 1.13 GiB | 1.57× | 6 / 30 / 0 |
| 16,384 | 0.90 GiB | 2.25 GiB | 2.49× | 6 / 30 / 0 |
| 32,768 | 1.28 GiB | 4.50 GiB | 3.52× | 6 / 30 / 0 |
| 65,536 | 2.03 GiB | 9.00 GiB | 4.44× | 6 / 30 / 0 |
| 131,072 | 3.53 GiB | 18.00 GiB | 5.10× | 6 / 30 / 0 |
30 of 36 layers cache only a 4,096-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 2.11 GiB. The real file is 2.33 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 4.50 GiB at 32K context where the real figure is 1.28 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 Darwin-4B-Chimera need?
- Q4_K_M is exactly 2,497,281,088 bytes (2.33 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.
- How large is Darwin-4B-Chimera's KV cache?
- 1.28 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 Darwin-4B-Chimera 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.