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Qwen2.5 14B ReasoningMerge by CultriX

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  Merged Model   Autotrain compatible Base model:rdson/wombocombo-r1...   Base model:sakalti/saka-14b   Codegen   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/CultriX/Qwen2.5-14B-ReasoningMerge 

Qwen2.5 14B ReasoningMerge Benchmarks

MMLU Pro: 48.28
GPQA: 21.03
MUSR: 25.61
BBH: 50.87
IFEval: 46.05 vs 88 (so35)-47.7%
MATH Lvl 5: 52.04
LLME Score: 0.34614
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Qwen2.5 14B ReasoningMerge Parameters and Internals

LLM NameQwen2.5 14B ReasoningMerge
Repository 🤗https://huggingface.co/CultriX/Qwen2.5-14B-ReasoningMerge 
Base Model(s)  Saka 14B   ...omboCombo R1 Coder 14B Preview   Sakalti/Saka-14B   RDson/WomboCombo-R1-Coder-14B-Preview
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2025-06-09
MaintainerCultriX
Model Typeqwen2
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.8 GB: 6-of-6
Supported Languagesen
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace
Qwen2.5 14B ReasoningMerge (CultriX/Qwen2.5-14B-ReasoningMerge)

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ZYH LLM Qwen2.5 14B V4986K / 29.7 GB4626
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ZYH LLM Qwen2.5 14B V5986K / 29.7 GB92
Qwen2.5 14B YOYO V5986K / 29.7 GB123
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LeoPARD Coder 0.1128K / 9.9 GB231
Note: green Score (e.g. "73.2") means that the model is better than CultriX/Qwen2.5-14B-ReasoningMerge.

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Release v20241124
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