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Antares 11B V1 by decapoda-research

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Antares 11B V1 is an open-source language model by decapoda-research. Features: 11b LLM, VRAM: 21.4GB, Context: 4K, License: cc-by-nc-4.0, Instruction-Based, Merged, LLM Explorer Score: 0.12, Arc: 64.5, HellaSwag: 84.9, MMLU: 66, GSM8K: 58.3.

  Merged Model Base model:finetune:upstage/so... Base model:upstage/solar-10.7b...   Conversational Dataset:garage-baind/open-plat...   Dataset:ldjnr/capybara   Dataset:teknium/openhermes   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/decapoda-research/Antares-11b-v1 

Antares 11B V1 Benchmarks

ARC: 64.51 vs 96.7 (so35)-33.3%
HellaSwag: 84.85 vs 95.3 (gpt4)-11%
MMLU: 65.96 vs 88.3 (so35)-25.3%
GSM8K: 58.3 vs 96.4 (so35)-39.5%
LLME Score: 0.12072
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Antares 11B V1 (decapoda-research/Antares-11b-v1)
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Antares 11B V1 Parameters and Internals

Additional Notes 
Deprecated in favor of decapoda-research/Antares-11b-v2
Training Details 
Data Sources:
teknium/openhermes, garage-bAInd/Open-Platypus, LDJnr/Capybara
LLM NameAntares 11B V1
Repository 🤗https://huggingface.co/decapoda-research/Antares-11b-v1 
Base Model(s)  upstage/SOLAR-10.7B-Instruct-v1.0   upstage/SOLAR-10.7B-Instruct-v1.0
Merged ModelYes
Model Size11b
Required VRAM21.4 GB
Updated2026-05-04
Maintainerdecapoda-research
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than decapoda-research/Antares-11b-v1.

Rank the Antares 11B V1 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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