Memphis-scribe-3B-GGUF/README.md

base_model, datasets, language, library_name, license, quantized_by, tags

base_model	datasets	language	library_name	license	quantized_by	tags
euclaise/Memphis-scribe-3B	euclaise/TinyCoT euclaise/mathoverflow-accepted euclaise/reddit-instruct-curated euclaise/WritingPrompts_curated sablo/oasst2_curated euclaise/mathqa_programs BEE-spoke-data/coedit-reworded-deduped pszemraj/booksum-short euclaise/reddit-instruct euclaise/SciCoT euirim/goodwiki neulab/conala squad ropes euclaise/logician chargoddard/rpguild lemonilia/LimaRP	en	transformers	cc-by-4.0	mradermacher	supertrainer2000 not-for-all-audiences writing roleplay

About

static quants of https://huggingface.co/euclaise/Memphis-scribe-3B

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Memphis-scribe-3B-i1-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	Q2_K	1.2
GGUF	Q3_K_S	1.4
GGUF	Q3_K_M	1.5	lower quality
GGUF	Q3_K_L	1.6
GGUF	IQ4_XS	1.6
GGUF	Q4_K_S	1.7	fast, recommended
GGUF	Q4_K_M	1.8	fast, recommended
GGUF	Q5_K_S	2.0
GGUF	Q5_K_M	2.1
GGUF	Q6_K	2.4	very good quality
GGUF	Q8_0	3.1	fast, best quality

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.