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SOLAR 10.7B Instruct V1.0 6.0bpw H6 EXL2 2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  SOLAR 10.7B Instruct V1.0 6.0bpw H6 EXL2 2   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Exl2   Instruct   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/LoneStriker/SOLAR-10.7B-Instruct-v1.0-6.0bpw-h6-exl2-2 

SOLAR 10.7B Instruct V1.0 6.0bpw H6 EXL2 2 Benchmarks

LLME Score: 0.15938
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 6.0bpw H6 EXL2 2 (LoneStriker/SOLAR-10.7B-Instruct-v1.0-6.0bpw-h6-exl2-2)

SOLAR 10.7B Instruct V1.0 6.0bpw H6 EXL2 2 Parameters and Internals

Model Type 
language model, single-turn conversation
Use Cases 
Areas:
single-turn conversation
Limitations:
less suitable for multi-turn conversations such as chat
Additional Notes 
Detailed benchmark information to be updated soon.
Training Details 
Methodology:
Depth Up-Scaling technique; incorporation of Mistral 7B weights
Context Length:
4096
Model Architecture:
Built on the Llama2 architecture with Upstage Depth Up-Scaling
Input Output 
Input Format:
Single-turn conversation input
Accepted Modalities:
text
Output Format:
Text response
LLM NameSOLAR 10.7B Instruct V1.0 6.0bpw H6 EXL2 2
Repository 🤗https://huggingface.co/LoneStriker/SOLAR-10.7B-Instruct-v1.0-6.0bpw-h6-exl2-2 
Model Size10.7b
Required VRAM8.2 GB
Updated2024-12-22
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  8.2 GB
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.0
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 LoneStriker/SOLAR-10.7B-Instruct-v1.0-6.0bpw-h6-exl2-2.

Rank the SOLAR 10.7B Instruct V1.0 6.0bpw 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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Release v20241217
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