Marcoro14 7B Slerp by mlabonne

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  Merged Model Aidc-ai-business/marcoroni-7b-...   Autotrain compatible   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Marcoro14 7B Slerp Benchmarks

Marcoro14 7B Slerp (mlabonne/Marcoro14-7B-slerp)

Marcoro14 7B Slerp Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Applications:
text generation
Primary Use Cases:
AI2 Reasoning Challenge, HellaSwag, MMLU, TruthfulQA, Winogrande, GSM8k
Additional Notes 
This model was evaluated using Nous' benchmark suite, achieving an average score of 57.67%.
Training Details 
Methodology:
Merge of AIDC-ai-business/Marcoroni-7B-v3 and EmbeddedLLM/Mistral-7B-Merge-14-v0.1 using SLERP method.
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameMarcoro14 7B Slerp
Repository ๐Ÿค—https://huggingface.co/mlabonne/Marcoro14-7B-slerp 
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-02-05
Maintainermlabonne
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.6 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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VRAM
...tilled 7B SLERP 8.0bpw H8 EXL2157 GB

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Note: green Score (e.g. "73.2") means that the model is better than mlabonne/Marcoro14-7B-slerp.

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