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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

ARC: 43.77 vs 96.7 (so35)-54.7%
HellaSwag: 57.89 vs 95.3 (gpt4)-39.3%
MMLU: 64.13 vs 88.3 (so35)-27.4%
TruthfulQA: 51.58 vs 59 (gpt4)-12.6%
WinoGrande: 73.88 vs 87.5 (gpt4)-15.6%
LLME Score: 0.22784
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

GML Mistral Merged V1 Parameters and Internals

LLM NameGML Mistral Merged V1
Repository 🤗https://huggingface.co/mlabonne/GML-Mistral-merged-v1 
Merged ModelYes
Model Size9b
Required VRAM18 GB
Updated2024-09-18
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
GML Mistral Merged V1 (mlabonne/GML-Mistral-merged-v1)

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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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Release v2024072803
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