DRT 7B by Krystalan

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DRT 7B is an open-source language model by Krystalan. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: cc-by-nc-sa-4.0, Instruction-Based, LLM Explorer Score: 0.17.

  Arxiv:2412.17498 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Chat   Conversational   En   Instruct   Machine tranlsation   O1-like model   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF ๐Ÿค—: https://huggingface.co/Krystalan/DRT-7B 

DRT 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DRT 7B (Krystalan/DRT-7B)
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DRT 7B Parameters and Internals

LLM NameDRT 7B
Repository ๐Ÿค—https://huggingface.co/Krystalan/DRT-7B 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2026-03-21
MaintainerKrystalan
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen zh
Model ArchitectureQwen2ForCausalLM
Licensecc-by-nc-sa-4.0
Context Length32768
Model Max Length32768
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to DRT 7B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB58209362
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB42
Qwen2.5 7B RRP 1M986K / 15.2 GB206
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB37
Q2.5 Instruct 1M Harmony986K / 15.2 GB42
Impish QWEN 7B 1M986K / 15.2 GB215
COCO 7B Instruct 1M986K / 15.2 GB34
Apollo 7B986K / 15.2 GB60
Graph R1 7B986K / 15.3 GB53
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB70
Note: green Score (e.g. "73.2") means that the model is better than Krystalan/DRT-7B.

Rank the DRT 7B Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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 v20260327b