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

base_model	datasets	language	library_name	license	quantized_by	tags
Novaciano/La_Mejor_Mezcla-3.2-1B	alexandreteles/AlpacaToxicQA_ShareGPT Nitral-AI/Active_RP-ShareGPT PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT Nitral-AI/RP_Alignment-ShareGPT Chaser-cz/sonnet35-charcard-roleplay-sharegpt AiCloser/sharegpt_cot_dataset PJMixers/Gryphe_Opus-WritingPrompts-Story2Prompt-ShareGPT priveeai/pippa_sharegpt Locutusque/sharegpt_gpt4_uncensored_cleaned OpenCoder-LLM/opc-sft-stage1 OpenCoder-LLM/opc-sft-stage2 microsoft/orca-agentinstruct-1M-v1 microsoft/orca-math-word-problems-200k NousResearch/hermes-function-calling-v1 AI-MO/NuminaMath-CoT AI-MO/NuminaMath-TIR allenai/tulu-3-sft-mixture cognitivecomputations/dolphin-coder HuggingFaceTB/smoltalk cognitivecomputations/samantha-data m-a-p/CodeFeedback-Filtered-Instruction m-a-p/Code-Feedback	es en	transformers	apache-2.0	mradermacher	mergekit merge

About

static quants of https://huggingface.co/Novaciano/La_Mejor_Mezcla-3.2-1B

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	Q2_K	0.8
GGUF	Q3_K_S	0.9
GGUF	Q3_K_M	0.9	lower quality
GGUF	Q3_K_L	0.9
GGUF	IQ4_XS	1.0
GGUF	Q4_K_S	1.0	fast, recommended
GGUF	Q4_K_M	1.1	fast, recommended
GGUF	Q5_K_S	1.2
GGUF	Q5_K_M	1.2
GGUF	Q6_K	1.3	very good quality
GGUF	Q8_0	1.7	fast, best quality
GGUF	f16	3.1	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.