chatbot-i1-GGUF

mradermacher/chatbot-i1-GGUF

chatbot-i1-GGUF is a machine learning model from mradermacher. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

weighted/imatrix quants of https://huggingface.co/MockingJ/chatbot

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At a glance

Library: transformers
Access: Public
Created: May 23, 2025
Updated: May 23, 2025
SHA: a4e8613f

Base models

MockingJ/chatbot

Model card

From the Hugging Face model README

About

weighted/imatrix quants of https://huggingface.co/MockingJ/chatbot

static quants are available at https://huggingface.co/mradermacher/chatbot-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	0.1	for the desperate
GGUF	i1-IQ1_M	0.2	mostly desperate
GGUF	i1-IQ2_XXS	0.2
GGUF	i1-IQ2_XS	0.2
GGUF	i1-IQ2_S	0.2
GGUF	i1-IQ2_M	0.2
GGUF	i1-IQ3_XXS	0.2	lower quality
GGUF	i1-Q2_K_S	0.2	very low quality
GGUF	i1-Q2_K	0.2	IQ3_XXS probably better
GGUF	i1-IQ3_XS	0.2
GGUF	i1-IQ3_S	0.2	beats Q3_K*
GGUF	i1-Q3_K_S	0.2	IQ3_XS probably better
GGUF	i1-IQ3_M	0.2
GGUF	i1-Q3_K_M	0.2	IQ3_S probably better
GGUF	i1-IQ4_XS	0.2
GGUF	i1-IQ4_NL	0.2	prefer IQ4_XS
GGUF	i1-Q4_0	0.2	fast, low quality
GGUF	i1-Q4_K_S	0.2	optimal size/speed/quality
GGUF	i1-Q3_K_L	0.2	IQ3_M probably better
GGUF	i1-Q4_1	0.2
GGUF	i1-Q4_K_M	0.2	fast, recommended
GGUF	i1-Q5_K_S	0.2
GGUF	i1-Q5_K_M	0.2
GGUF	i1-Q6_K	0.2	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

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.

Library: transformers
Languages: en
Created: May 23, 2025
Updated: May 23, 2025