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  <!-- ### quantize_version: 2 -->
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  <!-- ### output_tensor_quantised: 1 -->
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  <!-- ### convert_type: hf -->
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  <!-- ### vocab_type: -->
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  <!-- ### tags: -->
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  static quants of https://huggingface.co/yulan-team/YuLan-Mini
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ arxiv: 2412.17743
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+ base_model: yulan-team/YuLan-Mini
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+ datasets:
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+ - yulan-team/YuLan-Mini-Datasets
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+ - HuggingFaceFW/fineweb-edu
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+ - bigcode/the-stack-v2
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+ - mlfoundations/dclm-baseline-1.0
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+ - math-ai/AutoMathText
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+ - gair-prox/open-web-math-pro
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+ - RUC-AIBOX/long_form_thought_data_5k
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+ - internlm/Lean-Workbook
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+ - internlm/Lean-Github
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+ - deepseek-ai/DeepSeek-Prover-V1
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+ - ScalableMath/Lean-STaR-base
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+ - ScalableMath/Lean-STaR-plus
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+ - ScalableMath/Lean-CoT-base
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+ - ScalableMath/Lean-CoT-plus
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+ - opencsg/chinese-fineweb-edu
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+ - liwu/MNBVC
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+ - vikp/textbook_quality_programming
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+ - HuggingFaceTB/smollm-corpus
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+ - OpenCoder-LLM/opc-annealing-corpus
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+ - OpenCoder-LLM/opc-sft-stage1
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+ - OpenCoder-LLM/opc-sft-stage2
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+ - XinyaoHu/AMPS_mathematica
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+ - deepmind/math_dataset
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+ - mrfakename/basic-math-10m
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+ - microsoft/orca-math-word-problems-200k
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+ - AI-MO/NuminaMath-CoT
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+ - HuggingFaceTB/cosmopedia
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+ - MU-NLPC/Calc-ape210k
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+ - manu/project_gutenberg
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+ - storytracer/LoC-PD-Books
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+ - allenai/dolma
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+ language:
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+ - en
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+ - zh
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+ library_name: transformers
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+ license: mit
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+ quantized_by: mradermacher
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+ tags:
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+ - code
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+ - math
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+ ---
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+ ## About
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+
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  <!-- ### quantize_version: 2 -->
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  <!-- ### output_tensor_quantised: 1 -->
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  <!-- ### convert_type: hf -->
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  <!-- ### vocab_type: -->
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  <!-- ### tags: -->
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  static quants of https://huggingface.co/yulan-team/YuLan-Mini
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+
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+ <!-- provided-files -->
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+ 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.
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+ ## Usage
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+
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+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
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+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
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+ more details, including on how to concatenate multi-part files.
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+
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+ ## Provided Quants
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+
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+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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+
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+ | Link | Type | Size/GB | Notes |
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+ |:-----|:-----|--------:|:------|
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+ | [GGUF](https://huggingface.co/mradermacher/YuLan-Mini-GGUF/resolve/main/YuLan-Mini.Q3_K_S.gguf) | Q3_K_S | 1.6 | |
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+ | [GGUF](https://huggingface.co/mradermacher/YuLan-Mini-GGUF/resolve/main/YuLan-Mini.Q2_K.gguf) | Q2_K | 1.6 | |
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+ | [GGUF](https://huggingface.co/mradermacher/YuLan-Mini-GGUF/resolve/main/YuLan-Mini.IQ4_XS.gguf) | IQ4_XS | 1.6 | |
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+ | [GGUF](https://huggingface.co/mradermacher/YuLan-Mini-GGUF/resolve/main/YuLan-Mini.Q3_K_M.gguf) | Q3_K_M | 1.7 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/YuLan-Mini-GGUF/resolve/main/YuLan-Mini.Q3_K_L.gguf) | Q3_K_L | 1.7 | |
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+ | [GGUF](https://huggingface.co/mradermacher/YuLan-Mini-GGUF/resolve/main/YuLan-Mini.Q4_K_S.gguf) | Q4_K_S | 1.8 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/YuLan-Mini-GGUF/resolve/main/YuLan-Mini.Q4_K_M.gguf) | Q4_K_M | 1.9 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/YuLan-Mini-GGUF/resolve/main/YuLan-Mini.Q5_K_S.gguf) | Q5_K_S | 2.0 | |
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+ | [GGUF](https://huggingface.co/mradermacher/YuLan-Mini-GGUF/resolve/main/YuLan-Mini.Q5_K_M.gguf) | Q5_K_M | 2.1 | |
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+ | [GGUF](https://huggingface.co/mradermacher/YuLan-Mini-GGUF/resolve/main/YuLan-Mini.Q6_K.gguf) | Q6_K | 2.7 | very good quality |
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+ | [GGUF](https://huggingface.co/mradermacher/YuLan-Mini-GGUF/resolve/main/YuLan-Mini.Q8_0.gguf) | Q8_0 | 2.7 | fast, best quality |
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+ | [GGUF](https://huggingface.co/mradermacher/YuLan-Mini-GGUF/resolve/main/YuLan-Mini.f16.gguf) | f16 | 5.0 | 16 bpw, overkill |
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+
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+ Here is a handy graph by ikawrakow comparing some lower-quality quant
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+ types (lower is better):
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+
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+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
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+
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+ And here are Artefact2's thoughts on the matter:
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+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
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+
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+ ## FAQ / Model Request
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+
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+ See https://huggingface.co/mradermacher/model_requests for some answers to
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+ questions you might have and/or if you want some other model quantized.
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+
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+ ## Thanks
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+
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+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
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+ me use its servers and providing upgrades to my workstation to enable
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+ this work in my free time.
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+
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+ <!-- end -->