Gemma-The-Writer-N-Restless-Quill-10B-Uncensored
DavidAU/Gemma-The-Writer-N-Restless-Quill-10B-UncensoredGemma-The-Writer-N-Restless-Quill-10B-Uncensored at Q4_K_M is exactly 6,100,479,520 bytes (5.68 GiB / 6.10 GB) — an effective 4.864 bits per weight, not the nominal 4. Its KV cache at 32K is 6.56 GiB, not the 11.50 GiB a flat formula predicts.
Shipped quantizations
| Quant | Size● | Exact bytes● | Effective bpw● | Tensors● | Publisher |
|---|---|---|---|---|---|
| I1-IQ1_S | 2.37 GiB | 2,541,195,616 | 2.026 | — | mradermacher |
| I1-IQ1_M | 2.54 GiB | 2,725,097,824 | 2.173 | — | mradermacher |
| I1-IQ2_XXS | 2.82 GiB | 3,031,601,504 | 2.417 | — | mradermacher |
| I1-IQ2_XS | 3.07 GiB | 3,297,907,040 | 2.629 | — | mradermacher |
| I1-IQ2_S | 3.22 GiB | 3,453,251,936 | 2.753 | — | mradermacher |
| I1-IQ2_M | 3.44 GiB | 3,698,454,880 | 2.949 | — | mradermacher |
| I1-Q2_K | 3.81 GiB | 4,095,562,080 | 3.265 | — | mradermacher |
| I1-IQ3_XXS | 3.82 GiB | 4,097,683,808 | 3.267 | — | mradermacher |
| Q3_K_S | 4.14 GiB | 4,441,976,352 | 3.541 | — | DavidAU |
| I1-IQ3_XS | 4.16 GiB | 4,462,448,992 | 3.558 | — | mradermacher |
| I1-IQ3_S | 4.36 GiB | 4,678,521,184 | 3.730 | — | mradermacher |
| I1-Q3_K_S | 4.36 GiB | 4,678,521,184 | 3.730 | — | mradermacher |
| I1-IQ3_M | 4.51 GiB | 4,847,169,888 | 3.864 | — | mradermacher |
| Q3_K_M | 4.57 GiB | 4,905,086,496 | 3.911 | — | DavidAU |
| I1-Q3_K_M | 4.79 GiB | 5,141,631,328 | 4.099 | — | mradermacher |
| I1-Q3_K_L | 5.17 GiB | 5,549,003,104 | 4.424 | — | mradermacher |
| I1-IQ4_XS | 5.22 GiB | 5,604,397,408 | 4.468 | — | mradermacher |
| Q4_K_S | 5.40 GiB | 5,803,208,224 | 4.627 | — | DavidAU |
| I1-Q4_0 | 5.50 GiB | 5,905,338,720 | 4.708 | — | mradermacher |
| I1-Q4_K_S | 5.52 GiB | 5,925,065,056 | 4.724 | — | mradermacher |
| Q4_K_M | 5.68 GiB | 6,100,479,520 | 4.864 | — | DavidAU |
| I1-Q4_K_M | 5.80 GiB | 6,222,336,352 | 4.961 | — | mradermacher |
| Q5_K_S | 6.55 GiB | 7,028,821,536 | 5.604 | — | DavidAU |
| I1-Q5_K_S | 6.55 GiB | 7,028,822,368 | 5.604 | — | mradermacher |
| Q5_K_M | 6.71 GiB | 7,200,394,784 | 5.740 | — | DavidAU |
| I1-Q5_K_M | 6.71 GiB | 7,200,395,616 | 5.740 | — | mradermacher |
| I1-Q6_K | 7.67 GiB | 8,239,583,584 | 6.569 | — | mradermacher |
| Q2_K3 shards | 13.24 GiB | 14,214,875,744 | 11.333 | — | DavidAU |
| IQ4_XS3 shards | 17.99 GiB | 19,320,556,128 | 15.403 | — | DavidAU |
| Q6_K3 shards | 25.24 GiB | 27,105,692,256 | 21.610 | — | DavidAU |
| Q8_03 shards | 31.41 GiB | 33,729,268,320 | 26.891 | — | DavidAU |
KV cache by context
| Context | KV cache (f16)● | Flat formula | Overstated by | Full / windowed / recurrent |
|---|---|---|---|---|
| 4,096 | 1.44 GiB | 1.44 GiB | — | 23 / 23 / 0 |
| 8,192 | 2.25 GiB | 2.88 GiB | 1.28× | 23 / 23 / 0 |
| 16,384 | 3.68 GiB | 5.75 GiB | 1.56× | 23 / 23 / 0 |
| 32,768 | 6.56 GiB | 11.50 GiB | 1.75× | 23 / 23 / 0 |
| 65,536 | 12.31 GiB | 23.00 GiB | 1.87× | 23 / 23 / 0 |
| 131,072 | 23.81 GiB | 46.00 GiB | 1.93× | 23 / 23 / 0 |
23 of 46 layers cache only a 4,096-token window rather than the full context, on a period of 2. 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 5.26 GiB. The real file is 5.68 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 11.50 GiB at 32K context where the real figure is 6.56 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-The-Writer-N-Restless-Quill-10B-Uncensored need?
- Q4_K_M is exactly 6,100,479,520 bytes (5.68 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-The-Writer-N-Restless-Quill-10B-Uncensored's KV cache?
- 6.56 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-The-Writer-N-Restless-Quill-10B-Uncensored 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.