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Vitus Qwen3 14B by nbeerbower

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Vitus Qwen3 14B is an open-source language model by nbeerbower. Features: 14b LLM, VRAM: 29.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.21.

Base model:finetune:nbeerbower... Base model:nbeerbower/qwen3-gu... Dataset:nbeerbower/human-writi...   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/Vitus-Qwen3-14B 

Vitus Qwen3 14B Benchmarks

LLME Score: 0.21243
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vitus Qwen3 14B (nbeerbower/Vitus-Qwen3-14B)
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Vitus Qwen3 14B Parameters and Internals

LLM NameVitus Qwen3 14B
Repository 🤗https://huggingface.co/nbeerbower/Vitus-Qwen3-14B 
Base Model(s)  Qwen3 Gutenberg Encore 14B   nbeerbower/Qwen3-Gutenberg-Encore-14B
Model Size14b
Required VRAM29.5 GB
Updated2026-05-06
Maintainernbeerbower
Model Typeqwen3
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   5.0 GB: 4-of-6   4.9 GB: 5-of-6   4.7 GB: 6-of-6
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/Vitus-Qwen3-14B.

Rank the Vitus Qwen3 14B 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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