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

base_model	datasets	language	library_name	license	mradermacher	quantized_by	tags
thelamapi/next-270m	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	transformers	mit	readme_rev 1	mradermacher	turkish türkiye english ai lamapi gemma3 next next-x1 efficient text-generation open-source 1b 270m finetune gguf huggingface large-language-model llm causal transformer 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

About

static quants of https://huggingface.co/thelamapi/next-270m

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

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	Q3_K_S	0.3
GGUF	Q2_K	0.3
GGUF	IQ4_XS	0.3
GGUF	Q3_K_M	0.3	lower quality
GGUF	Q3_K_L	0.3
GGUF	Q4_K_S	0.3	fast, recommended
GGUF	Q4_K_M	0.4	fast, recommended
GGUF	Q5_K_S	0.4
GGUF	Q5_K_M	0.4
GGUF	Q6_K	0.4	very good quality
GGUF	Q8_0	0.4	fast, best quality
GGUF	f16	0.6	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.