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Mistral 7B Instruct V0.2 1st NWS KoOrca 5K 2nd MiBaSeAl U2k Ep4 Lr5 Len2500 by mncai

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  32bit   Autotrain compatible Base model:mncai/mistral-7b-in...   Conversational   Endpoints compatible   Generated from trainer   Instruct   License:apache-2.0   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Rank the Mistral 7B Instruct V0.2 1st NWS KoOrca 5K 2nd MiBaSeAl U2k Ep4 Lr5 Len2500 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  
Mistral 7B Instruct V0.2 1st NWS KoOrca 5K 2nd MiBaSeAl U2k Ep4 Lr5 Len2500 (mncai/Mistral-7B-Instruct-v0.2-1st-NWS-KoOrca-5k-2nd-MiBaSeAl-u2k-ep4-lr5-len2500)

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Note: green Score (e.g. "73.2") means that the model is better than mncai/Mistral-7B-Instruct-v0.2-1st-NWS-KoOrca-5k-2nd-MiBaSeAl-u2k-ep4-lr5-len2500.

Mistral 7B Instruct V0.2 1st NWS KoOrca 5K 2nd MiBaSeAl U2k Ep4 Lr5 Len2500 Parameters and Internals

LLM NameMistral 7B Instruct V0.2 1st NWS KoOrca 5K 2nd MiBaSeAl U2k Ep4 Lr5 Len2500
RepositoryOpen on ๐Ÿค— 
Base Model(s)  mncai/Mistral-7B-Instruct-v0.2-NWS-KoOpen-5k-ep4-lr5-len2500   mncai/Mistral-7B-Instruct-v0.2-NWS-KoOpen-5k-ep4-lr5-len2500
Model Size7b
Required VRAM14.4 GB
Updated2024-02-20
Maintainermncai
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Quantization Type32bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003