mradermacher/gpt-oss-20b-Esper3.1-i1-GGUF

---

base_model: ValiantLabs/gpt-oss-20b-Esper3.1 datasets:

• sequelbox/Tachibana3-Part1-DeepSeek-V3.1-Terminus
• sequelbox/Tachibana3-Part2-DeepSeek-V3.2
• sequelbox/Titanium3-DeepSeek-V3.1-Terminus
• sequelbox/Mitakihara-DeepSeek-R1-0528

language:

• en

library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags:

• esper
• esper-3.1
• esper-3
• valiant
• valiant-labs
• gpt
• gpt-oss
• gpt-oss-20b
• openai
• 20b
• reasoning
• code
• code-instruct
• python
• javascript
• dev-ops
• jenkins
• terraform
• ansible
• docker
• jenkins
• kubernetes
• helm
• grafana
• prometheus
• shell
• bash
• azure
• aws
• gcp
• cloud
• scripting
• powershell
• problem-solving
• architect
• engineer
• developer
• creative
• analytical
• expert
• rationality
• conversational
• chat
• instruct

---

About

weighted/imatrix quants of https://huggingface.co/ValiantLabs/gpt-oss-20b-Esper3.1

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

static quants are available at https://huggingface.co/mradermacher/gpt-oss-20b-Esper3.1-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	imatrix	0.1	imatrix file (for creating your own quants)
GGUF	i1-IQ1_M	12.1	mostly desperate
GGUF	i1-IQ1_S	12.1	for the desperate
GGUF	i1-IQ2_XXS	12.1
GGUF	i1-IQ2_XS	12.1
GGUF	i1-Q3KS	12.2	IQ3XS probably better
GGUF	i1-IQ2_M	12.2
GGUF	i1-IQ2_S	12.2
GGUF	i1-IQ3S	12.2	beats Q3K*
GGUF	i1-IQ3_XS	12.2
GGUF	i1-IQ3_XXS	12.2	lower quality
GGUF	i1-Q2K	12.2	IQ3XXS probably better
GGUF	i1-IQ4_XS	12.2
GGUF	i1-Q2K_S	12.2	very low quality
GGUF	i1-Q4_0	12.2	fast, low quality
GGUF	i1-IQ3_M	12.3
GGUF	i1-Q3KM	13.0	IQ3S probably better
GGUF	i1-Q3KL	13.4	IQ3M probably better
GGUF	i1-Q4_1	13.5
GGUF	i1-Q4K_S	14.8	optimal size/speed/quality
GGUF	i1-Q4K_M	15.9	fast, recommended
GGUF	i1-Q5K_S	16.0
GGUF	i1-Q5K_M	17.0
GGUF	i1-Q6K	22.3	practically like static Q6K

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.