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Sensualize Solar 10.7B by Sao10K

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Sensualize Solar 10.7B is an open-source language model by Sao10K. Features: 10.7b LLM, VRAM: 21.4GB, Context: 4K, License: cc-by-nc-4.0, HF Score: 68.2, LLM Explorer Score: 0.26, Arc: 65, HellaSwag: 84.6, MMLU: 65.3, TruthfulQA: 53.6, WinoGrande: 84, GSM8K: 56.6.

  Autotrain compatible Base model:upstage/solar-10.7b...   En   Endpoints compatible   License:cc-by-nc-4.0   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sao10K/Sensualize-Solar-10.7B 

Sensualize Solar 10.7B Benchmarks

ARC: 65.02 vs 96.7 (so35)-32.8%
HellaSwag: 84.55 vs 95.3 (gpt4)-11.3%
MMLU: 65.27 vs 88.3 (so35)-26.1%
TruthfulQA: 53.63 vs 59 (gpt4)-9.1%
WinoGrande: 83.98 vs 87.5 (gpt4)-4%
GSM8K: 56.56 vs 96.4 (so35)-41.3%
LLME Score: 0.26236
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sensualize Solar 10.7B (Sao10K/Sensualize-Solar-10.7B)
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Sensualize Solar 10.7B Parameters and Internals

LLM NameSensualize Solar 10.7B
Repository 🤗https://huggingface.co/Sao10K/Sensualize-Solar-10.7B 
Base Model(s)  upstage/SOLAR-10.7B-v1.0   upstage/SOLAR-10.7B-v1.0
Model Size10.7b
Required VRAM21.4 GB
Updated2024-07-04
MaintainerSao10K
Model Typellama
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5   4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Sensualize Solar 10.7B

Model
Likes
Downloads
VRAM
Sensualize Solar 10.7B GGUF102784 GB
Sensualize Solar 10.7B GPTQ806 GB
Sensualize Solar 10.7B AWQ2116 GB

Best Alternatives to Sensualize Solar 10.7B

Best Alternatives
Context / RAM
Downloads
Likes
SOLAR 10.7B Instruct V1.0 128K128K / 21.4 GB1243
SOLAR 10.7B V1.0 Instruct 16K16K / 21.4 GB632
SOLAR 10.7B V1.0 Base 16K16K / 21.4 GB690
SauerkrautLM SOLAR Instruct8K / 21.4 GB96846
PiVoT SOLAR 10.7B RP8K / 21.4 GB7787
MetaModelv28K / 21.4 GB7860
Fimbulvetr V2 Kuro Lotus Bf168K / 21.5 GB44
Kazemi 1.2 Solar8K / 21.4 GB00
Bucharest 0.25K / 21.4 GB91
SOLAR 10.7B Instruct V1.04K / 21.4 GB32171649
Note: green Score (e.g. "73.2") means that the model is better than Sao10K/Sensualize-Solar-10.7B.

Rank the Sensualize Solar 10.7B 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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