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Metis Chat Instruct 7B by Manolo26

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  Merged Model   Autotrain compatible Base model:mlabonne/neuralbeag... Base model:mlabonne/neuralmarc...   Conversational   Endpoints compatible   Instruct   Mistral   Mlabonne/neuralbeagle14-7b   Mlabonne/neuralmarcoro14-7b   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Manolo26/metis-chat-instruct-7b 

Metis Chat Instruct 7B Benchmarks

ARC: 72.87 vs 96.7 (so35)-24.6%
HellaSwag: 88.17 vs 95.3 (gpt4)-7.5%
MMLU: 64.92 vs 88.3 (so35)-26.5%
TruthfulQA: 69.44 vs 59 (gpt4)17.7%
WinoGrande: 81.85 vs 87.5 (gpt4)-6.5%
GSM8K: 70.74 vs 96.4 (so35)-26.6%
LLME Score: 0.1642
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Metis Chat Instruct 7B (Manolo26/metis-chat-instruct-7b)

Metis Chat Instruct 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
metis-chat-instruct-7b is a merge of the models NeuralBeagle14-7B and NeuralMarcoro14-7B using LazyMergekit. It involves configurations with a slerp merge method and various other parameter settings provided in the YAML configuration.
LLM NameMetis Chat Instruct 7B
Repository 🤗https://huggingface.co/Manolo26/metis-chat-instruct-7b 
Base Model(s)  NeuralBeagle14 7B   NeuralMarcoro14 7B   mlabonne/NeuralBeagle14-7B   mlabonne/NeuralMarcoro14-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-03-18
MaintainerManolo26
Model Typemistral
Instruction-BasedYes
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   1.9 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.9 GB: 8-of-8
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 Manolo26/metis-chat-instruct-7b.

Rank the Metis Chat Instruct 7B 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
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