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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: 0.17045
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

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
Updated2024-11-07
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)

Best Alternatives to Sakura SOLAR Instruct AWQ

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Context / RAM
Downloads
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...auerkrautLM SOLAR Instruct AWQ8K / 6 GB22
...auerkrautLM SOLAR Instruct AWQ8K / 6 GB70
...krautLM UNA SOLAR Instruct AWQ4K / 6 GB51
LUNA SOLARkrautLM Instruct AWQ4K / 6 GB50
SmolLM 1.7B Instruct 4bit2K / 1 GB162
SmolLM 1.7B Instruct 8bit2K / 1.8 GB191
SmolLM2 1.7B Instruct8K / 3.4 GB16940236
SmolLM2 1.7B Instruct8K / 3.4 GB743
...uerkrautLM SOLAR Instruct GPTQ8K / 6 GB112
Sakura SOLAR Instruct GPTQ4K / 6 GB73
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  
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Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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Release v2024072803
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