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ConfigurableSOLAR 10.7B by vicgalle

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ConfigurableSOLAR 10.7B is an open-source language model by vicgalle. Features: 10.7b LLM, VRAM: 21.4GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18, Arc: 70.4, HellaSwag: 88, MMLU: 66.4, GSM8K: 63.4.

  Arxiv:2404.00495   Conversational Dataset:vicgalle/configurable-...   Deploy:azure   Endpoints compatible   Instruct   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/vicgalle/ConfigurableSOLAR-10.7B 

ConfigurableSOLAR 10.7B Benchmarks

ARC: 70.39 vs 96.7 (so35)-27.2%
HellaSwag: 88.03 vs 95.3 (gpt4)-7.6%
MMLU: 66.44 vs 88.3 (so35)-24.8%
GSM8K: 63.38 vs 96.4 (so35)-34.3%
LLME Score: 0.18493
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ConfigurableSOLAR 10.7B (vicgalle/ConfigurableSOLAR-10.7B)
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ConfigurableSOLAR 10.7B Parameters and Internals

Model Type 
text generation
Additional Notes 
ConfigurableSOLAR-10.7B is a configurable LLM fine-tuned using the approach configurable safety tuning (CST) over the vicgalle/configurable-system-prompt-multitask dataset. System prompts allow the model to take on various personas or behaviors.
LLM NameConfigurableSOLAR 10.7B
Repository 🤗https://huggingface.co/vicgalle/ConfigurableSOLAR-10.7B 
Model Size10.7b
Required VRAM21.4 GB
Updated2026-05-22
Maintainervicgalle
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
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than vicgalle/ConfigurableSOLAR-10.7B.

Rank the ConfigurableSOLAR 10.7B 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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