YuLan-Mini-GGUF / README.md
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metadata
arxiv: 2412.17743
base_model: yulan-team/YuLan-Mini
datasets:
  - yulan-team/YuLan-Mini-Datasets
  - HuggingFaceFW/fineweb-edu
  - bigcode/the-stack-v2
  - mlfoundations/dclm-baseline-1.0
  - math-ai/AutoMathText
  - gair-prox/open-web-math-pro
  - RUC-AIBOX/long_form_thought_data_5k
  - internlm/Lean-Workbook
  - internlm/Lean-Github
  - deepseek-ai/DeepSeek-Prover-V1
  - ScalableMath/Lean-STaR-base
  - ScalableMath/Lean-STaR-plus
  - ScalableMath/Lean-CoT-base
  - ScalableMath/Lean-CoT-plus
  - opencsg/chinese-fineweb-edu
  - liwu/MNBVC
  - vikp/textbook_quality_programming
  - HuggingFaceTB/smollm-corpus
  - OpenCoder-LLM/opc-annealing-corpus
  - OpenCoder-LLM/opc-sft-stage1
  - OpenCoder-LLM/opc-sft-stage2
  - XinyaoHu/AMPS_mathematica
  - deepmind/math_dataset
  - mrfakename/basic-math-10m
  - microsoft/orca-math-word-problems-200k
  - AI-MO/NuminaMath-CoT
  - HuggingFaceTB/cosmopedia
  - MU-NLPC/Calc-ape210k
  - manu/project_gutenberg
  - storytracer/LoC-PD-Books
  - allenai/dolma
language:
  - en
  - zh
library_name: transformers
license: mit
quantized_by: mradermacher
tags:
  - code
  - math

About

static quants of https://huggingface.co/yulan-team/YuLan-Mini

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 1.6
GGUF Q2_K 1.6
GGUF IQ4_XS 1.6
GGUF Q3_K_M 1.7 lower quality
GGUF Q3_K_L 1.7
GGUF Q4_K_S 1.8 fast, recommended
GGUF Q4_K_M 1.9 fast, recommended
GGUF Q5_K_S 2.0
GGUF Q5_K_M 2.1
GGUF Q6_K 2.7 very good quality
GGUF Q8_0 2.7 fast, best quality
GGUF f16 5.0 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.