mradermacher/Qwen3-16B-A3B-abliterated-i1-GGUF

About

weighted/imatrix quants of https://huggingface.co/huihui-ai/Qwen3-16B-A3B-abliterated

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/Qwen3-16B-A3B-abliterated-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link	Type	Size/GB	Notes
GGUF	i1-IQ1_S	3.6	for the desperate
GGUF	i1-IQ1_M	3.9	mostly desperate
GGUF	i1-IQ2_XXS	4.5
GGUF	i1-IQ2_XS	4.9
GGUF	i1-IQ2_S	5.1
GGUF	i1-IQ2_M	5.5
GGUF	i1-Q2_K_S	5.7	very low quality
GGUF	i1-Q2_K	6.1	IQ3_XXS probably better
GGUF	i1-IQ3_XXS	6.4	lower quality
GGUF	i1-IQ3_XS	6.8
GGUF	i1-Q3_K_S	7.1	IQ3_XS probably better
GGUF	i1-IQ3_S	7.1	beats Q3_K*
GGUF	i1-IQ3_M	7.3
GGUF	i1-Q3_K_M	7.9	IQ3_S probably better
GGUF	i1-Q3_K_L	8.5	IQ3_M probably better
GGUF	i1-IQ4_XS	8.7
GGUF	i1-IQ4_NL	9.2	prefer IQ4_XS
GGUF	i1-Q4_0	9.3	fast, low quality
GGUF	i1-Q4_K_S	9.3	optimal size/speed/quality
GGUF	i1-Q4_K_M	9.9	fast, recommended
GGUF	i1-Q4_1	10.2
GGUF	i1-Q5_K_S	11.2
GGUF	i1-Q5_K_M	11.5
GGUF	i1-Q6_K	13.3	practically like static Q6_K

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks