mradermacher/HelpingAI-9B-i1-GGUF

---

base_model: HelpingAI/HelpingAI-9B datasets:

• OEvortex/SentimentSynth
• OEvortex/EmotionalIntelligence-10K

language:

• en

library_name: transformers license: other license_link: LICENSE.md license_name: helpingai quantized_by: mradermacher tags:

• HelpingAI
• Emotionally Intelligent
• EQ

---

About

weighted/imatrix quants of https://huggingface.co/HelpingAI/HelpingAI-9B

static quants are available at https://huggingface.co/mradermacher/HelpingAI-9B-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	2.1	for the desperate
GGUF	i1-IQ1_M	2.3	mostly desperate
GGUF	i1-IQ2_XXS	2.6
GGUF	i1-IQ2_XS	2.8
GGUF	i1-IQ2_S	3.0
GGUF	i1-IQ2_M	3.2
GGUF	i1-Q2K	3.5	IQ3XXS probably better
GGUF	i1-IQ3_XXS	3.6	lower quality
GGUF	i1-IQ3_XS	3.8
GGUF	i1-Q3KS	4.0	IQ3XS probably better
GGUF	i1-IQ3S	4.0	beats Q3K*
GGUF	i1-IQ3_M	4.2
GGUF	i1-Q3KM	4.4	IQ3S probably better
GGUF	i1-Q3KL	4.8	IQ3M probably better
GGUF	i1-IQ4_XS	4.9
GGUF	i1-Q4_0	5.2	fast, low quality
GGUF	i1-Q4K_S	5.2	optimal size/speed/quality
GGUF	i1-Q4K_M	5.4	fast, recommended
GGUF	i1-Q5K_S	6.2
GGUF	i1-Q5K_M	6.4
GGUF	i1-Q6K	7.3	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.