GML Mistral Merged V1 by mlabonne

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  Merged Model   Autotrain compatible   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

GML Mistral Merged V1 Benchmarks

GML Mistral Merged V1 (mlabonne/GML-Mistral-merged-v1)

GML Mistral Merged V1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a merge of the following models made with mergekit: [quantumaikr/quantum-v0.01](https://huggingface.co/quantumaikr/quantum-v0.01), [mncai/mistral-7b-dpo-v5](https://huggingface.co/mncai/mistral-7b-dpo-v5) with the configuration using slice sources from both models and a passthrough merge method in bfloat16 dtype.
LLM NameGML Mistral Merged V1
Repository ๐Ÿค—https://huggingface.co/mlabonne/GML-Mistral-merged-v1 
Merged ModelYes
Model Size9b
Required VRAM18 GB
Updated2025-02-22
Maintainermlabonne
Model Typemistral
Model Files  9.9 GB: 1-of-2   8.1 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mlabonne/GML-Mistral-merged-v1.

Rank the GML Mistral Merged V1 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 v20241227