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metadata
base_model: Novaciano/La_Mejor_Mezcla-3.2-1B
datasets:
  - 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
language:
  - es
  - en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
  - 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):

image.png

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.