Mistral 12.25B Instruct V0.2 by Joseph717171

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  Merged Model   Arxiv:2310.06825   Arxiv:2312.15166   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral 12.25B Instruct V0.2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 12.25B Instruct V0.2 (Joseph717171/Mistral-12.25B-Instruct-v0.2)
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Mistral 12.25B Instruct V0.2 Parameters and Internals

Model Type 
text generation
Additional Notes 
This model merges pre-trained language models using the mergekit passthrough merge method. Developed for testing Depth-Up Scaling (DUS) effectiveness in scaling parameters.
Training Details 
Methodology:
Depth Up Scaling
Input Output 
Input Format:
[INST] prompt [/INST]
Accepted Modalities:
text
LLM NameMistral 12.25B Instruct V0.2
Repository ๐Ÿค—https://huggingface.co/Joseph717171/Mistral-12.25B-Instruct-v0.2 
Merged ModelYes
Model Size7b
Required VRAM25 GB
Updated2025-09-15
MaintainerJoseph717171
Model Typemistral
Instruction-BasedYes
Model Files  4.0 GB: 1-of-7   4.0 GB: 2-of-7   3.9 GB: 3-of-7   4.0 GB: 4-of-7   4.0 GB: 5-of-7   4.0 GB: 6-of-7   1.1 GB: 7-of-7
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the Mistral 12.25B Instruct V0.2 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  

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