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RQwen V0.1 by ehristoforu

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  4bit   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in...   Chat   Conversational   Ehristoforu   En   Endpoints compatible   Instruct   Model-index   Pytorch   Quantized   Qwen2   Qwen2.5   Region:us   Rqwen   Ru   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/ehristoforu/RQwen-v0.1 

RQwen V0.1 Benchmarks

MMLU Pro: 46.69
GPQA: 10.07
MUSR: 10.44
BBH: 48.49
IFEval: 76.25 vs 88 (so35)-13.4%
MATH Lvl 5: 46.45
LLME Score: 0.30215
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RQwen V0.1 (ehristoforu/RQwen-v0.1)
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RQwen V0.1 Parameters and Internals

LLM NameRQwen V0.1
Repository 🤗https://huggingface.co/ehristoforu/RQwen-v0.1 
Base Model(s)  Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct
Model Size14b
Required VRAM29.7 GB
Updated2025-09-23
Maintainerehristoforu
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 ru
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.3
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 ehristoforu/RQwen-v0.1.

Rank the RQwen V0.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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