prithivMLmods · text

Qwen3-VL-30B-A3B-Instruct-abliterated-v1

prithivMLmods/Qwen3-VL-30B-A3B-Instruct-abliterated-v1

Qwen3-VL-30B-A3B-Instruct-abliterated-v1 at Q4_K_M is exactly 18,556,688,224 bytes (17.28 GiB / 18.56 GB) — an effective 4.778 bits per weight, not the nominal 4.

From the file· summed from 1 file(s)
Parameters
31.1B
Architecture
qwen3vlmoe
Context
native (config.json)
License
apache-2.0

Shipped quantizations

exact bytes, summed from published files
QuantSizeExact bytesEffective bpwTensorsPublisher
I1-IQ1_S5.98 GiB6,416,511,0721.652mradermacher
I1-IQ1_S5.98 GiB6,416,511,1361.652mradermacher
I1-IQ1_M6.59 GiB7,078,293,6001.823mradermacher
I1-IQ1_M6.59 GiB7,078,293,6641.823mradermacher
I1-IQ2_XXS7.62 GiB8,181,264,4802.107mradermacher
I1-IQ2_XXS7.62 GiB8,181,264,5442.107mradermacher
I1-IQ2_XS8.45 GiB9,076,224,0962.337mradermacher
I1-IQ2_XS8.45 GiB9,076,224,1602.337mradermacher
I1-IQ2_S8.65 GiB9,287,133,2802.391mradermacher
I1-IQ2_S8.65 GiB9,287,133,3442.391mradermacher
I1-IQ2_M9.47 GiB10,169,509,9842.618mradermacher
I1-IQ2_M9.47 GiB10,169,510,0482.618mradermacher
I1-Q2_K_S9.80 GiB10,519,365,7282.708mradermacher
I1-Q2_K_S9.80 GiB10,519,365,7922.708mradermacher
Q2_K10.49 GiB11,258,611,5522.899mradermacher
I1-Q2_K10.49 GiB11,258,611,8082.899mradermacher
I1-Q2_K10.49 GiB11,258,611,8722.899mradermacher
I1-IQ3_XXS11.04 GiB11,849,328,7363.051mradermacher
I1-IQ3_XXS11.04 GiB11,849,328,8003.051mradermacher
I1-IQ3_XS11.73 GiB12,598,444,1283.244mradermacher
I1-IQ3_XS11.73 GiB12,598,444,1923.244mradermacher
Q3_K_S12.38 GiB13,292,470,1123.422mradermacher
I1-Q3_K_S12.38 GiB13,292,470,3683.422mradermacher
I1-Q3_K_S12.38 GiB13,292,470,4323.422mradermacher
I1-IQ3_S12.39 GiB13,299,155,0403.424mradermacher
I1-IQ3_S12.39 GiB13,299,155,1043.424mradermacher
I1-IQ3_M12.59 GiB13,513,064,5443.479mradermacher
I1-IQ3_M12.59 GiB13,513,064,6083.479mradermacher
Q3_K_M13.70 GiB14,711,848,8003.788mradermacher
I1-Q3_K_M13.70 GiB14,711,849,0563.788mradermacher
I1-Q3_K_M13.70 GiB14,711,849,1203.788mradermacher
Q3_K_L14.81 GiB15,900,671,8404.094mradermacher
I1-Q3_K_L14.81 GiB15,900,672,0964.094mradermacher
I1-Q3_K_L14.81 GiB15,900,672,1604.094mradermacher
I1-IQ4_XS15.24 GiB16,368,351,3284.215mradermacher
I1-IQ4_XS15.24 GiB16,368,351,3924.215mradermacher
IQ4_XS15.42 GiB16,557,094,7524.263mradermacher
I1-Q4_016.19 GiB17,379,989,6004.475mradermacher
I1-Q4_016.19 GiB17,379,989,6644.475mradermacher
Q4_K_S16.26 GiB17,456,011,1044.495mradermacher

Compare with

same modality, comparable size

Will it run on your card?

full quant x context sweep

Why other calculators give a different number

A parameters × bits ÷ 8 estimate puts Q4_K_M at roughly 16.28 GiB. The real file is 17.28 GiB, because a quantization is a mixture and some tensors are always kept at higher precision.

Architecture

Architecture unavailable — this repository is gated and no ungated mirror was found. Exact file sizes above are still authoritative; only the KV math needs the config.

Questions people ask

How much VRAM does Qwen3-VL-30B-A3B-Instruct-abliterated-v1 need?
Q4_K_M is exactly 18,556,688,224 bytes (17.28 GiB) in weights. Add the KV cache, which depends on your context length, plus roughly half a gigabyte of runtime overhead.
Which quantization of Qwen3-VL-30B-A3B-Instruct-abliterated-v1 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.