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ANIMA Nectar by Severian

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  Autotrain compatible   Endpoints compatible   License:mit   Mistral   Region:us   Safetensors   Sharded   Tensorflow

ANIMA Nectar Benchmarks

nn.n% — How the model compares to the GPT-4.

Rank the ANIMA Nectar 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  
ANIMA Nectar (Severian/ANIMA-Nectar)

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Best Alternatives
HF Rank
Cyrax 7B75.9832K / 14.4 GB2142
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...oEv4Config TestWeightedTIES 7B75.3932K / 14.4 GB2480
Mayonnaise 4in1 0275.2132K / 14.4 GB10970
Mayonnaise 4in1 0175.1932K / 14.4 GB10880
TheTop 5x7B Instruct S5 V0.175.1432K / 14.6 GB1501
TheTop 5x7B Instruct T V0.174.9632K / 14.5 GB1470
Note: green Score (e.g. "73.2") means that the model is better than Severian/ANIMA-Nectar.

ANIMA Nectar Parameters and Internals

LLM NameANIMA Nectar
RepositoryOpen on ๐Ÿค— 
Model Size7.2b
Required VRAM14.4 GB
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003