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

base_model	datasets	language	library_name	license	mradermacher	quantized_by	tags
UmbrellaInc/Prototype-Virus-1B	mlabonne/FineTome-100k ITCL/FineTomeOs Gryphe/ChatGPT-4o-Writing-Prompts dongguanting/ARPO-SFT-54K GreenerPastures/All-Your-Base-Full Gryphe/Opus-WritingPrompts HuggingFaceH4/MATH-500 mlabonne/smoltalk-flat mlabonne/natural_reasoning-formatted OpenSPG/KAG-Thinker-training-dataset uclanlp/Brief-Pro CognitiveKernel/CognitiveKernel-Pro-SFT SuperbEmphasis/Claude-4.0-DeepSeek-R1-RP-SFWish QuixiAI/dolphin-r1 mlabonne/lmsys-arena-human-sft-55k	tr ar af az es en el ro ru rm th uk uz pl pt fa sk sl da de nl fr fi ka hi hu hy ja kk kn ko ku ky la lb id is it zh cs vi be bg bs ne mn	transformers	gemma	readme_rev 1	mradermacher	next next-x1 efficient open-source 1b huggingface large-language-model llm causal artificial-intelligence machine-learning ai-research natural-language-processing nlp finetuned lightweight creative summarization question-answering chat-model generative-ai optimized-model unsloth trl sft chemistry biology finance legal music art code climate medical agent text-generation-inference text-generation transformers safetensors gemma3 mergekit merge uncensored heretic abliterated roleplay nsfw trash prototype virus progenitor low-end conversational Not-For-All-Audiences

About

weighted/imatrix quants of https://huggingface.co/UmbrellaInc/Prototype-Virus-1B

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

static quants are available at https://huggingface.co/mradermacher/Prototype-Virus-1B-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	imatrix	0.1	imatrix file (for creating your own quants)
GGUF	i1-IQ1_S	0.7	for the desperate
GGUF	i1-IQ1_M	0.7	mostly desperate
GGUF	i1-IQ2_XXS	0.8
GGUF	i1-IQ2_XS	0.8
GGUF	i1-IQ2_S	0.8
GGUF	i1-IQ2_M	0.8
GGUF	i1-Q2_K_S	0.8	very low quality
GGUF	i1-IQ3_XXS	0.8	lower quality
GGUF	i1-Q3_K_S	0.8	IQ3_XS probably better
GGUF	i1-IQ3_S	0.8	beats Q3_K*
GGUF	i1-IQ3_XS	0.8
GGUF	i1-Q2_K	0.8	IQ3_XXS probably better
GGUF	i1-IQ3_M	0.8
GGUF	i1-IQ4_XS	0.8
GGUF	i1-IQ4_NL	0.8	prefer IQ4_XS
GGUF	i1-Q4_0	0.8	fast, low quality
GGUF	i1-Q3_K_M	0.8	IQ3_S probably better
GGUF	i1-Q3_K_L	0.9	IQ3_M probably better
GGUF	i1-Q4_1	0.9
GGUF	i1-Q4_K_S	0.9	optimal size/speed/quality
GGUF	i1-Q4_K_M	0.9	fast, recommended
GGUF	i1-Q5_K_S	0.9
GGUF	i1-Q5_K_M	1.0
GGUF	i1-Q6_K	1.1	practically like static Q6_K

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. 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.