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Sakura SOLAR Instruct AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Sakura SOLAR Instruct AWQ   URL Share it on

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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
Model Card on HF 🤗: https://huggingface.co/TheBloke/Sakura-SOLAR-Instruct-AWQ 

Sakura SOLAR Instruct AWQ Benchmarks

LLME Score: 0.16322
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 (TheBloke/Sakura-SOLAR-Instruct-AWQ)

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
Updated2024-12-22
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

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SmolTulu 1.7B Reinforced8K / 3.4 GB355
SmolLM2 Math IIO 1.7B Instruct8K / 3.4 GB1058
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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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