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Sakura SOLAR Instruct AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:kyujinpy/sakura-sol... Base model:quantized:kyujinpy/...   Conversational   En   Instruct   Llama   Quantized   Region:us   Safetensors

Sakura SOLAR Instruct AWQ Benchmarks

LLME Score: 0.16783
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Sakura SOLAR Instruct AWQ Parameters and Internals

Model Type 
solar, text-generation
Use Cases 
Areas:
research, commercial applications
Applications:
text generation, AI research
Primary Use Cases:
instruction following, text-based solar calculations
Supported Languages 
en (High)
Input Output 
Input Format:
### System: {system_message} ### User: {prompt} ### Assistant:
Accepted Modalities:
text
Output Format:
Text-based responses
LLM NameSakura SOLAR Instruct AWQ
Repository 🤗https://huggingface.co/TheBloke/Sakura-SOLAR-Instruct-AWQ 
Model NameSakura Solar Instruct
Model CreatorKyujinHan
Base Model(s)  Sakura SOLAR Instruct   kyujinpy/Sakura-SOLAR-Instruct
Model Size1.7b
Required VRAM6 GB
Updated2024-11-21
MaintainerTheBloke
Model Typesolar
Instruction-BasedYes
Model Files  6.0 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Sakura SOLAR Instruct AWQ (TheBloke/Sakura-SOLAR-Instruct-AWQ)

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...auerkrautLM SOLAR Instruct AWQ8K / 6 GB12
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LUNA SOLARkrautLM Instruct AWQ4K / 6 GB60
SmolLM 1.7B Instruct 4bit2K / 1 GB272
SmolLM 1.7B Instruct 8bit2K / 1.8 GB231
SmolLM2 1.7B Instruct8K / 3.4 GB69219345
SmolLM2 1.7 Persona8K / 3.5 GB180
SmolLM2 1.7B Instruct8K / 3.4 GB6113
SmolLM2 1.7B Instruct8K / 3.4 GB1853
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Sakura-SOLAR-Instruct-AWQ.

Rank the Sakura SOLAR Instruct AWQ 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 v20241110
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