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Gauss Opus 14B R999 by prithivMLmods

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in...   Code   Conversational   En   Endpoints compatible   Instruct   Math   Model-index   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Vlm   Zh
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Gauss-Opus-14B-R999 

Gauss Opus 14B R999 Benchmarks

MMLU Pro: 44.53
GPQA: 18.9
MUSR: 27.83
BBH: 44.94
IFEval: 39.07 vs 88 (so35)-55.6%
MATH Lvl 5: 57.55
LLME Score: 0.34656
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gauss Opus 14B R999 (prithivMLmods/Gauss-Opus-14B-R999)

Gauss Opus 14B R999 Parameters and Internals

LLM NameGauss Opus 14B R999
Repository 🤗https://huggingface.co/prithivMLmods/Gauss-Opus-14B-R999 
Base Model(s)  Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct
Model Size14b
Required VRAM29.7 GB
Updated2025-06-01
MaintainerprithivMLmods
Model Typeqwen2
Instruction-BasedYes
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 zh
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size152064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Gauss-Opus-14B-R999.

Rank the Gauss Opus 14B R999 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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