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QwQ 14B Math V0.0 by qingy2024

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QwQ 14B Math V0.0 is an open-source language model by qingy2024. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.17.

  4bit   Autotrain compatible   Conversational   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/qingy2024/QwQ-14B-Math-v0.0 

QwQ 14B Math V0.0 Benchmarks

LLME Score: 0.16566
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwQ 14B Math V0.0 (qingy2024/QwQ-14B-Math-v0.0)
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QwQ 14B Math V0.0 Parameters and Internals

LLM NameQwQ 14B Math V0.0
Repository 🤗https://huggingface.co/qingy2024/QwQ-14B-Math-v0.0 
Base Model(s)  unsloth/qwen2.5-14b-bnb-4bit   unsloth/qwen2.5-14b-bnb-4bit
Model Size14b
Required VRAM29.7 GB
Updated2025-09-15
Maintainerqingy2024
Model Typeqwen2
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
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to QwQ 14B Math V0.0

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Context / RAM
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Qwen2.5 14B Instruct 1M 8bit986K / 15.7 GB41212
Qwen2.5 14B Instruct 1M 4bit986K / 8.3 GB2612
...B Instruct 1M Unsloth Bnb 4bit986K / 14.3 GB2384
...en2.5 14B Instruct 1M Bnb 4bit986K / 9.9 GB52
QwQ 14B Math V0.2128K / 29.7 GB14715
Qwen Carpmuscle V0.3128K / 29.7 GB230
...k R1 Distill Qwen 14B Bnb 4bit128K / 9.9 GB60295
...till Qwen 14B Unsloth Bnb 4bit128K / 14.2 GB149129
Shed Coder 0.2128K / 9.9 GB70
Qwen2.5 14B Bnb 4bit128K / 9.9 GB68085
Note: green Score (e.g. "73.2") means that the model is better than qingy2024/QwQ-14B-Math-v0.0.

Rank the QwQ 14B Math V0.0 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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