mradermacher/Qwen3-Esper3-Reasoning-Instruct-6B-Brainstorm20x-Enhanced-E32-128k-ctx-i1-GGUF

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base_model: DavidAU/Qwen3-Esper3-Reasoning-Instruct-6B-Brainstorm20x-Enhanced-E32-128k-ctx datasets:

• sequelbox/Titanium2.1-DeepSeek-R1
• sequelbox/Tachibana2-DeepSeek-R1
• sequelbox/Raiden-DeepSeek-R1

language:

• en

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

• merge
• programming
• code generation
• code
• coding
• coder
• chat
• code
• chat
• brainstorm
• qwen
• qwen3
• qwencoder
• brainstorm20x
• esper
• esper-3
• valiant
• valiant-labs
• qwen
• qwen-3
• qwen-3-4b
• 4b
• 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
• conversational
• chat
• instruct

---

About

weighted/imatrix quants of https://huggingface.co/DavidAU/Qwen3-Esper3-Reasoning-Instruct-6B-Brainstorm20x-Enhanced-E32-128k-ctx

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

static quants are available at https://huggingface.co/mradermacher/Qwen3-Esper3-Reasoning-Instruct-6B-Brainstorm20x-Enhanced-E32-128k-ctx-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 qwuants)
GGUF	i1-IQ1_S	1.6	for the desperate
GGUF	i1-IQ1_M	1.7	mostly desperate
GGUF	i1-IQ2_XXS	1.9
GGUF	i1-IQ2_XS	2.0
GGUF	i1-IQ2_S	2.1
GGUF	i1-IQ2_M	2.3
GGUF	i1-Q2K_S	2.3	very low quality
GGUF	i1-Q2K	2.5	IQ3XXS probably better
GGUF	i1-IQ3_XXS	2.5	lower quality
GGUF	i1-IQ3_XS	2.7
GGUF	i1-Q3KS	2.8	IQ3XS probably better
GGUF	i1-IQ3S	2.8	beats Q3K*
GGUF	i1-IQ3_M	2.9
GGUF	i1-Q3KM	3.1	IQ3S probably better
GGUF	i1-Q3KL	3.4	IQ3M probably better
GGUF	i1-IQ4_XS	3.4
GGUF	i1-Q4_0	3.6	fast, low quality
GGUF	i1-IQ4NL	3.6	prefer IQ4XS
GGUF	i1-Q4K_S	3.6	optimal size/speed/quality
GGUF	i1-Q4K_M	3.7	fast, recommended
GGUF	i1-Q4_1	3.9
GGUF	i1-Q5K_S	4.2
GGUF	i1-Q5K_M	4.3
GGUF	i1-Q6K	5.0	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.