Instruct V0.2 Seraph 7B by Weyaxi

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  Autotrain compatible   Endpoints compatible   Instruct   License:apache-2.0   Merge   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Rank the Instruct V0.2 Seraph 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  
Instruct V0.2 Seraph 7B (Weyaxi/Instruct-v0.2-Seraph-7B)

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Mistral 7B Instruct V0.262.2332K / 14.4 GB25892111839
Bagel 7B V0.4 AWQ60.132K / 4.2 GB180
Bagel DPO 7B V0.4 AWQ60.132K / 4.2 GB140
Mistral 7B Instruct V0.2 Q454.632K /  GB340
Rubra 11B H 5.0bpw EXL254.632K / 1.7 GB101
...ecurity 7B V0.2 3.0bpw H6 EXL254.632K / 3 GB992
Panda 7B V0.1 3.0bpw H6 EXL254.632K / 3 GB150
....2 Neural Story 3.0bpw H6 EXL254.632K / 3 GB140
Metis 0.3 3.0bpw H6 EXL2 254.632K / 3 GB50
...ecurity 7B V0.2 4.0bpw H6 EXL254.632K / 3.9 GB260
Note: green Score (e.g. "73.2") means that the model is better than Weyaxi/Instruct-v0.2-Seraph-7B.

Instruct V0.2 Seraph 7B Parameters and Internals

LLM NameInstruct V0.2 Seraph 7B
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM14.4 GB
Updated2024-04-13
MaintainerWeyaxi
Model Typemistral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024040901