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ConfigurableSOLAR 10.7B by vicgalle

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  Arxiv:2404.00495   Autotrain compatible   Conversational Dataset:vicgalle/configurable-...   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

ConfigurableSOLAR 10.7B Benchmarks

ARC: 70.39-26.9%
HellaSwag: 88.03-7.6%
MMLU: 66.44-23.2%
TruthfulQA: 72.3422.6%
WinoGrande: 83.03-5.1%
GSM8K: 63.38-31.1%
nn.n% — How the model compares to the GPT-4.

ConfigurableSOLAR 10.7B Parameters and Internals

LLM NameConfigurableSOLAR 10.7B
RepositoryOpen on 🤗 
Model Size10.7b
Required VRAM21.4 GB
Updated2024-07-27
Maintainervicgalle
Model Typellama
Instruction-BasedYes
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
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
ConfigurableSOLAR 10.7B (vicgalle/ConfigurableSOLAR-10.7B)

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...Instruct KoSOLAR 10.7B V0.5.340.34K / 43.4 GB1424280
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Note: green Score (e.g. "73.2") means that the model is better than vicgalle/ConfigurableSOLAR-10.7B.

Rank the ConfigurableSOLAR 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  
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Release v2024072501
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