SOLAR 10.7B V1.0 GPTQ by TheBloke

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SOLAR 10.7B V1.0 GPTQ is an open-source language model by TheBloke. Features: 10.7b LLM, VRAM: 6GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  4-bit Base model:quantized:upstage/s... Base model:upstage/solar-10.7b...   Gptq   Llama   Quantized   Region:us   Safetensors

SOLAR 10.7B V1.0 GPTQ Benchmarks

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

SOLAR 10.7B V1.0 GPTQ Parameters and Internals

Model Type 
solar
Additional Notes 
The model uses Depth Up-Scaling technique and is integrated with Mistral 7B weights for enhanced performance.
Training Details 
Model Architecture:
Built on the Llama2 architecture, incorporating Upstage Depth Up-Scaling and integrated Mistral 7B weights.
Input Output 
Input Format:
{prompt}
LLM NameSOLAR 10.7B V1.0 GPTQ
Repository 🤗https://huggingface.co/TheBloke/SOLAR-10.7B-v1.0-GPTQ 
Model NameSolar 10.7B v1.0
Model Creatorupstage
Base Model(s)  upstage/SOLAR-10.7B-v1.0   upstage/SOLAR-10.7B-v1.0
Model Size10.7b
Required VRAM6 GB
Updated2026-05-09
MaintainerTheBloke
Model Typesolar
Model Files  6.0 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SOLAR-10.7B-v1.0-GPTQ.

Rank the SOLAR 10.7B V1.0 GPTQ 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