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

base_model	datasets	language	library_name	license	mradermacher	quantized_by	tags
thelamapi/next-12b	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 en de ka el ku es sl sk af da nl fa fi fr ga hi hu hy ja kg kk ko ky la lb id it is za zh zu cs vi be bg bs ne mn rm ro ru te th tk tt uk uz ug pl pt no	transformers	mit	readme_rev 1	mradermacher	turkish türkiye english ai lamapi gemma3 next next-x1 efficient text-generation open-source 12b huggingface large-language-model llm causal transformer artificial-intelligence machine-learning ai-research natural-language-processing language multilingual multimodal nlp finetuned lightweight creative summarization question-answering chat generative-ai optimized unsloth trl sft chemistry code biology finance legal music art state-of-the-art climate medical agent text-generation-inference merge dense

About

static quants of https://huggingface.co/thelamapi/next-12b

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/next-12b-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	mmproj-Q8_0	0.7	multi-modal supplement
GGUF	mmproj-f16	1.0	multi-modal supplement
GGUF	Q2_K	4.9
GGUF	Q3_K_S	5.6
GGUF	Q3_K_M	6.1	lower quality
GGUF	Q3_K_L	6.6
GGUF	IQ4_XS	6.7
GGUF	Q4_K_S	7.0	fast, recommended
GGUF	Q4_K_M	7.4	fast, recommended
GGUF	Q5_K_S	8.3
GGUF	Q5_K_M	8.5
GGUF	Q6_K	9.8	very good quality
GGUF	Q8_0	12.6	fast, best quality

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.