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Velara 11B V3 by Delcos

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Model Card on HF 🤗: https://huggingface.co/Delcos/Velara-11B-v3 

Velara 11B V3 Benchmarks

ARC: 57.51 vs 96.7 (so35)-40.5%
HellaSwag: 75.7 vs 95.3 (gpt4)-20.6%
MMLU: 65.85 vs 88.3 (so35)-25.4%
TruthfulQA: 50.19 vs 59 (gpt4)-14.9%
WinoGrande: 74.27 vs 87.5 (gpt4)-15.1%
GSM8K: 21.99 vs 96.4 (so35)-77.2%
LLME Score: 0.2101
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Velara 11B V3 (Delcos/Velara-11B-v3)

Velara 11B V3 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
assistant chat models
Primary Use Cases:
personal assistant, conversation engagement
Limitations:
Model responses require prompt fidelity for accuracy.
Considerations:
Ensure prompts align with desired conversation flow.
Additional Notes 
Focus on character consistency and avoiding generic responses. Recommended settings for optimal interaction are provided.
Supported Languages 
en (primary)
LLM NameVelara 11B V3
Repository 🤗https://huggingface.co/Delcos/Velara-11B-v3 
Model Size11b
Required VRAM23 GB
Updated2025-02-22
MaintainerDelcos
Model Typellama
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   3.2 GB: 5-of-5
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-nd-4.0
Context Length4096
Model Max Length4096
Transformers Version4.41.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Delcos/Velara-11B-v3.

Rank the Velara 11B V3 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 v20241227
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