FNCARL 7B by jambroz

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  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Autotrain compatible Base model:corticalstack/pasti... Base model:mistralai/mistral-7... Base model:mlabonne/neuralbeag... Base model:nexusflow/starling-...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Rank the FNCARL 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  
FNCARL 7B (jambroz/FNCARL-7b)

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Note: green Score (e.g. "73.2") means that the model is better than jambroz/FNCARL-7b.

FNCARL 7B Parameters and Internals

LLM NameFNCARL 7B
RepositoryOpen on ๐Ÿค— 
Base Model(s)  NeuralBeagle14 7B   Starling LM 7B Beta   ...stiche Crown Clown 7B Dare DPO   Mistral 7B Instruct V0.2   mlabonne/NeuralBeagle14-7B   Nexusflow/Starling-LM-7B-beta   CorticalStack/pastiche-crown-clown-7b-dare-dpo   mistralai/Mistral-7B-Instruct-v0.2
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-04-20
Maintainerjambroz
Model Typemistral
Instruction-BasedYes
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
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 v20240042001