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SOLAR Math 2x10.7B V0.2 by macadeliccc

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Model Card on HF 🤗: https://huggingface.co/macadeliccc/SOLAR-math-2x10.7b-v0.2 

SOLAR Math 2x10.7B V0.2 Benchmarks

ARC: 70.9 vs 96.7 (so35)-26.7%
HellaSwag: 88.29 vs 95.3 (gpt4)-7.4%
MMLU: 66.25 vs 88.3 (so35)-25%
TruthfulQA: 71.68 vs 59 (gpt4)21.5%
WinoGrande: 83.5 vs 87.5 (gpt4)-4.6%
GSM8K: 64.9 vs 96.4 (so35)-32.7%
LLME Score: 0.15237
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SOLAR Math 2x10.7B V0.2 (macadeliccc/SOLAR-math-2x10.7b-v0.2)
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SOLAR Math 2x10.7B V0.2 Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a merge of two SOLAR-10.7B instruct finetunes.
LLM NameSOLAR Math 2x10.7B V0.2
Repository 🤗https://huggingface.co/macadeliccc/SOLAR-math-2x10.7b-v0.2 
Model Size19.2b
Required VRAM38.4 GB
Updated2025-10-07
Maintainermacadeliccc
Model Typemixtral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-4   10.0 GB: 2-of-4   10.0 GB: 3-of-4   8.5 GB: 4-of-4
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than macadeliccc/SOLAR-math-2x10.7b-v0.2.

Rank the SOLAR Math 2x10.7B V0.2 Capabilities

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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 v20241124
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