Files
Qwen3-14B-Esper3Grayline-i1…/README.md
ModelHub XC b83617cf04 初始化项目,由ModelHub XC社区提供模型
Model: mradermacher/Qwen3-14B-Esper3Grayline-i1-GGUF
Source: Original Platform
2026-10-11 05:53:15 +08:00

3.4 KiB

base_model, language, library_name, license, mradermacher, quantized_by, tags
base_model language library_name license mradermacher quantized_by tags
sequelbox/Qwen3-14B-Esper3Grayline
en
transformers apache-2.0
readme_rev
1
mradermacher
mergekit
merge
esper
esper-3
grayline
valiant
valiant-labs
qwen
qwen-3
qwen-3-14b
14b
reasoning
code
code-instruct
python
javascript
dev-ops
jenkins
terraform
scripting
powershell
azure
aws
gcp
cloud
problem-solving
architect
engineer
developer
creative
analytical
expert
rationality
uncensored
unfiltered
amoral-ai
conversational
chat
instruct

About

weighted/imatrix quants of https://huggingface.co/sequelbox/Qwen3-14B-Esper3Grayline

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

static quants are available at https://huggingface.co/mradermacher/Qwen3-14B-Esper3Grayline-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-IQ2_XS 4.8
GGUF i1-IQ3_XS 6.5
GGUF i1-IQ4_XS 8.2
GGUF i1-Q4_K_M 9.1 fast, recommended
GGUF i1-Q5_K_M 10.6
GGUF i1-Q6_K 12.2 practically like static Q6_K

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

image.png

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

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.