SOLAR Platypus 10.7B V2 GGUF by TheBloke

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SOLAR Platypus 10.7B V2 GGUF is an open-source language model by TheBloke. Features: 10.7b LLM, VRAM: 4.5GB, License: cc-by-nc-sa-4.0, Quantized, LLM Explorer Score: 0.11.

Base model:kyujinpy/solar-plat... Base model:quantized:kyujinpy/... Dataset:garage-baind/open-plat...   En   Gguf   Quantized   Region:us   Solar

SOLAR Platypus 10.7B V2 GGUF Benchmarks

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

SOLAR Platypus 10.7B V2 GGUF Parameters and Internals

Model Type 
auto-regressive language model
Supported Languages 
en (fluent)
Training Details 
Data Sources:
garage-bAInd/Open-Platypus
Methodology:
Q-LoRA
Model Architecture:
LLama2 architecture
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
LLM NameSOLAR Platypus 10.7B V2 GGUF
Repository 🤗https://huggingface.co/TheBloke/SOLAR-Platypus-10.7B-v2-GGUF 
Model NameSolar Platypus 10.7B v2
Model CreatorKyujinHan
Base Model(s)  kyujinpy/SOLAR-Platypus-10.7B-v2   kyujinpy/SOLAR-Platypus-10.7B-v2
Model Size10.7b
Required VRAM4.5 GB
Updated2026-04-21
MaintainerTheBloke
Model Typesolar
Model Files  4.5 GB   5.7 GB   5.2 GB   4.7 GB   6.1 GB   6.5 GB   6.1 GB   7.4 GB   7.6 GB   7.4 GB   8.8 GB   11.4 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensecc-by-nc-sa-4.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SOLAR-Platypus-10.7B-v2-GGUF.

Rank the SOLAR Platypus 10.7B V2 GGUF 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 v20260328a