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Qwen2.6 Math 14B Instruct by qingy2024

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Model Card on HF 🤗: https://huggingface.co/qingy2024/Qwen2.6-Math-14B-Instruct 

Qwen2.6 Math 14B Instruct Benchmarks

MMLU Pro: 47.12
GPQA: 16
MUSR: 19.52
BBH: 47.02
IFEval: 38.62 vs 88 (so35)-56.1%
MATH Lvl 5: 42.9
LLME Score: 0.31957
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.6 Math 14B Instruct (qingy2024/Qwen2.6-Math-14B-Instruct)

Qwen2.6 Math 14B Instruct Parameters and Internals

LLM NameQwen2.6 Math 14B Instruct
Repository 🤗https://huggingface.co/qingy2024/Qwen2.6-Math-14B-Instruct 
Base Model(s)  unsloth/qwen2.5-14b-instruct-bnb-4bit   unsloth/qwen2.5-14b-instruct-bnb-4bit
Model Size14b
Required VRAM29.7 GB
Updated2025-04-29
Maintainerqingy2024
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 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   4.7 GB: 6-of-6   5.0 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   4.7 GB: 6-of-6
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than qingy2024/Qwen2.6-Math-14B-Instruct.

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Instruction Following and Task Automation  
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Release v20241227
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