Danube Reasoner by appvoid

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Danube Reasoner is an open-source language model by appvoid. Features: 500m LLM, VRAM: 1GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.15.

Base model:finetune:h2oai/h2o-... Base model:h2oai/h2o-danube3-5...   En   Endpoints compatible   Llama   Pytorch   Region:us   Sft   Trl   Unsloth

Danube Reasoner Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Danube Reasoner Parameters and Internals

LLM NameDanube Reasoner
Repository 🤗https://huggingface.co/appvoid/danube-reasoner 
Base Model(s)  H2o Danube3 500M Base   h2oai/h2o-danube3-500m-base
Model Size500m
Required VRAM1 GB
Updated2026-05-13
Maintainerappvoid
Model Typellama
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Danube Reasoner

Best Alternatives
Context / RAM
Downloads
Likes
Carbon 500M8K / 1 GB92124
H2o Danube3 500M Chat8K / 1 GB2862641
Acheron D8K / 1 GB1090
Acheron C8K / 1 GB90
Acheron8K / 1 GB70
Text Arco8K / 1 GB110
Arco Plus8K / 1.6 GB127
H2o Danube3 500M Base8K / 1 GB56433
Clite 500M8K / 1 GB73
Massive8K / 1 GB120
Note: green Score (e.g. "73.2") means that the model is better than appvoid/danube-reasoner.

Rank the Danube Reasoner 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 v20260328a