Triangulum-5B-GGUF / README.md
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metadata
base_model: prithivMLmods/Triangulum-5B
language:
  - en
  - de
  - fr
  - it
  - pt
  - hi
  - es
  - th
library_name: transformers
license: creativeml-openrail-m
quantized_by: mradermacher
tags:
  - triangulum_5b
  - sft
  - chain_of_thought
  - ollama
  - text-generation-inference
  - llama_for_causal_lm
  - reasoning

About

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 Q4_K_S 3.3 fast, recommended
GGUF Q4_K_M 3.5 fast, recommended
GGUF Q6_K 4.5 very good quality
GGUF Q8_0 5.9 fast, best quality

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.