Mistral Passthrough 8L 10B by DeepKarkhanis

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Mistral Passthrough 8L 10B Benchmarks

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Mistral Passthrough 8L 10B Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is a merged model using LazyMergekit from mistralai/Mistral-7B-Instruct-v0.2 twice.
Training Details 
Methodology:
Merge of layers using LazyMergekit
Input Output 
Accepted Modalities:
text
Output Format:
generated text
LLM NameMistral Passthrough 8L 10B
Repository ๐Ÿค—https://huggingface.co/DeepKarkhanis/Mistral-Passthrough-8L-10B 
Merged ModelYes
Model Size10b
Required VRAM14.5 GB
Updated2025-06-10
MaintainerDeepKarkhanis
Model Typemistral
Instruction-BasedYes
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   2.0 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Mistral Passthrough 8L 10B (DeepKarkhanis/Mistral-Passthrough-8L-10B)

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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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124