Triangulum-5B-it-GGUF/README.md

base_model, language, library_name, license, quantized_by, tags

base_model	language	library_name	license	quantized_by	tags
prithivMLmods/Triangulum-5B-it	en de fr it pt hi es th	transformers	creativeml-openrail-m	mradermacher	triangulum_5b sft chain_of_thought ollama text-generation-inference llama_for_causal_lm reasoning deep_think CoT LCoT

About

static quants of https://huggingface.co/prithivMLmods/Triangulum-5B-it

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Triangulum-5B-it-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	2.3
GGUF	Q3_K_S	2.6
GGUF	Q3_K_M	2.9	lower quality
GGUF	Q3_K_L	3.1
GGUF	IQ4_XS	3.2
GGUF	Q4_K_S	3.3	fast, recommended
GGUF	Q4_K_M	3.5	fast, recommended
GGUF	Q5_K_S	3.9
GGUF	Q5_K_M	4.0
GGUF	Q6_K	4.5	very good quality
GGUF	Q8_0	5.9	fast, best quality
GGUF	f16	10.9	16 bpw, overkill

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.