Nous-1-4B-GGUF / README.md
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metadata
base_model: NoemaResearch/Apollo-1-4B
language:
  - en
  - fr
  - pt
  - de
  - ro
  - sv
  - da
  - bg
  - ru
  - cs
  - el
  - uk
  - es
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  - lmo
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  - scn
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  - prs
  - af
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  - eu
  - ht
  - pap
  - kea
  - tpi
  - sw
library_name: transformers
license: other
license_link: https://huggingface.co/apexion-ai/Nous-V1-8B/blob/main/LICENSE.md
license_name: anvdl-1.0
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - qwen3

About

static quants of https://huggingface.co/NoemaResearch/Apollo-1-4B

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Nous-1-4B-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 1.8
GGUF Q3_K_S 2.0
GGUF Q3_K_M 2.2 lower quality
GGUF Q3_K_L 2.3
GGUF IQ4_XS 2.4
GGUF Q4_K_S 2.5 fast, recommended
GGUF Q4_K_M 2.6 fast, recommended
GGUF Q5_K_S 2.9
GGUF Q5_K_M 3.0
GGUF Q6_K 3.4 very good quality
GGUF Q8_0 4.4 fast, best quality
GGUF f16 8.2 16 bpw, overkill

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.