SOLAR 10.7B Instruct V1.0 Uncensored 3.0bpw H6 EXL2 2 by LoneStriker

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  Autotrain compatible   Endpoints compatible   Exl2   Instruct   Llama   Quantized   Region:us   Safetensors   Uncensored

SOLAR 10.7B Instruct V1.0 Uncensored 3.0bpw H6 EXL2 2 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 Instruct V1.0 Uncensored 3.0bpw H6 EXL2 2 (LoneStriker/SOLAR-10.7B-Instruct-v1.0-uncensored-3.0bpw-h6-exl2-2)

SOLAR 10.7B Instruct V1.0 Uncensored 3.0bpw H6 EXL2 2 Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
unalignment/toxic-dpo-v0.1
Methodology:
finetuning
LLM NameSOLAR 10.7B Instruct V1.0 Uncensored 3.0bpw H6 EXL2 2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/SOLAR-10.7B-Instruct-v1.0-uncensored-3.0bpw-h6-exl2-2 
Model Size10.7b
Required VRAM4.3 GB
Updated2024-12-22
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  4.3 GB
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/SOLAR-10.7B-Instruct-v1.0-uncensored-3.0bpw-h6-exl2-2.

Rank the SOLAR 10.7B Instruct V1.0 Uncensored 3.0bpw H6 EXL2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217