Mistral Starling Merge Trial1 7B by grimjim

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  Merged Model   Autotrain compatible Base model:grimjim/mistral-7b-... Base model:nexusflow/starling-...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral Starling Merge Trial1 7B Benchmarks

Mistral Starling Merge Trial1 7B (grimjim/Mistral-Starling-merge-trial1-7B)

Mistral Starling Merge Trial1 7B Parameters and Internals

Additional Notes 
This model is a merge of pre-trained language models using the SLERP merge method to combine strong reasoning with a 32K context length.
LLM NameMistral Starling Merge Trial1 7B
Repository ๐Ÿค—https://huggingface.co/grimjim/Mistral-Starling-merge-trial1-7B 
Base Model(s)  Starling LM 7B Beta   grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B   Nexusflow/Starling-LM-7B-beta   grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
Maintainergrimjim
Model Typemistral
Instruction-BasedYes
Model Files  5.9 GB: 1-of-3   6.0 GB: 2-of-3   2.6 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227