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DNA R1 by dnotitia

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DNA R1 is an open-source language model by dnotitia. Features: 14.7b LLM, VRAM: 29.4GB, Context: 16K, License: cc-by-nc-4.0, LLM Explorer Score: 0.18.

Base model:finetune:microsoft/...   Base model:microsoft/phi-4   Chat   Conversation   Conversational   Custom code   Dnotitia   En   Endpoints compatible   Ko   Phi3   R1   Reasoning   Region:us   Safetensors   Sharded   Slm   Tensorflow
Model Card on HF 🤗: https://huggingface.co/dnotitia/DNA-R1 

DNA R1 Benchmarks

LLME Score: 0.18166
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DNA R1 (dnotitia/DNA-R1)
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DNA R1 Parameters and Internals

LLM NameDNA R1
Repository 🤗https://huggingface.co/dnotitia/DNA-R1 
Base Model(s)  Phi 4   microsoft/phi-4
Model Size14.7b
Required VRAM29.4 GB
Updated2026-05-09
Maintainerdnotitia
Model Typephi3
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   4.8 GB: 4-of-6   4.8 GB: 5-of-6   5.0 GB: 6-of-6
Supported Languagesen ko
Model ArchitecturePhi3ForCausalLM
Licensecc-by-nc-4.0
Context Length16384
Model Max Length16384
Transformers Version4.46.1
Tokenizer ClassGPT2Tokenizer
Padding Token<|dummy_85|>
Vocabulary Size100356
Torch Data Typebfloat16

Best Alternatives to DNA R1

Best Alternatives
Context / RAM
Downloads
Likes
Phi 4 Mini Instruct128K / 7.7 GB637798706
Phi 3 Mini 128K Instruct128K / 7.7 GB2440241700
Phi 3 Medium 128K Instruct128K / 28 GB8300388
Phi 4 Mini Reasoning128K / 7.7 GB46737228
Phi 4 Mini Reasoning Bf16128K / 7.7 GB762
Phi 4 Mini Instruct ONNX GQA128K /  GB766
Phi 3.5 Mini Instruct Onnx Web128K /  GB50015
Phi 3.5 Mini Instruct Onnx128K /  GB10837
Phi 3 Mini 128K Instruct Onnx128K /  GB119193
...i 3 Mini 128K Instruct Ov Int4128K / 2 GB110
Note: green Score (e.g. "73.2") means that the model is better than dnotitia/DNA-R1.

Rank the DNA R1 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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