base_model, datasets, extra_gated_fields, extra_gated_prompt, language, library_name, license, mradermacher, quantized_by, tags

base_model	datasets	extra_gated_fields	extra_gated_prompt	language	library_name	license	mradermacher	quantized_by	tags
aayanmishra-ml/Athena-R3-1.5B	openai/gsm8k HuggingFaceH4/ultrachat_200k	Country Date of Birth I agree to use this model in accordance with all applicable laws and ethical guidelines I agree to use this model under the MIT licence Intended Use Name Organization country date_picker checkbox checkbox options type Research Education Personal Development Commercial Use label value Other other select text text	By accessing this model, you agree to comply with ethical usage guidelines and accept full responsibility for its applications. You will not use this model for harmful, malicious, or illegal activities, and you understand that the model's use is subject to ongoing monitoring for misuse. This model is provided 'AS IS' and agreeing to this means that you are responsible for all the outputs generated by you	en zh fr es pt de it ru ja ko vi th ar fa he tr cs pl hi bn ur id ms lo my ceb km tl nl	transformers	mit	readme_rev 1	mradermacher	text-generation-inference transformers unsloth qwen2 trl

About

static quants of https://huggingface.co/aayanmishra-ml/Athena-R3-1.5B

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-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	0.9
GGUF	Q3_K_S	1.0
GGUF	Q3_K_M	1.0	lower quality
GGUF	Q3_K_L	1.1
GGUF	IQ4_XS	1.1
GGUF	Q4_K_S	1.2	fast, recommended
GGUF	Q4_K_M	1.2	fast, recommended
GGUF	Q5_K_S	1.4
GGUF	Q5_K_M	1.4
GGUF	Q6_K	1.6	very good quality
GGUF	Q8_0	2.0	fast, best quality
GGUF	f16	3.7	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.