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MPT 7B Sharded by Sidharthkr

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  Autotrain compatible   Custom code   Endpoints compatible   Mpt   Pytorch   Region:us   Safetensors   Sharded
Model Card on HF 🤗: https://huggingface.co/Sidharthkr/MPT_7B_sharded 

MPT 7B Sharded Benchmarks

LLME Score: 0.09575
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MPT 7B Sharded (Sidharthkr/MPT_7B_sharded)
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MPT 7B Sharded Parameters and Internals

LLM NameMPT 7B Sharded
Repository 🤗https://huggingface.co/Sidharthkr/MPT_7B_sharded 
Model Size7b
Required VRAM14.3 GB
Updated2025-07-02
MaintainerSidharthkr
Model Typempt
Model Files  0.0 GB: 1-of-45   0.4 GB: 2-of-45   0.3 GB: 3-of-45   0.3 GB: 4-of-45   0.4 GB: 5-of-45   0.3 GB: 6-of-45   0.3 GB: 7-of-45   0.3 GB: 8-of-45   0.4 GB: 9-of-45   0.3 GB: 10-of-45   0.3 GB: 11-of-45   0.3 GB: 12-of-45   0.4 GB: 13-of-45   0.3 GB: 14-of-45   0.3 GB: 15-of-45   0.3 GB: 16-of-45   0.4 GB: 17-of-45   0.3 GB: 18-of-45   0.3 GB: 19-of-45   0.3 GB: 20-of-45   0.4 GB: 21-of-45   0.3 GB: 22-of-45   0.3 GB: 23-of-45   0.3 GB: 24-of-45   0.4 GB: 25-of-45   0.3 GB: 26-of-45   0.3 GB: 27-of-45   0.3 GB: 28-of-45   0.4 GB: 29-of-45   0.3 GB: 30-of-45   0.3 GB: 31-of-45   0.3 GB: 32-of-45   0.4 GB: 33-of-45   0.3 GB: 34-of-45   0.3 GB: 35-of-45   0.3 GB: 36-of-45   0.4 GB: 37-of-45   0.3 GB: 38-of-45   0.3 GB: 39-of-45   0.3 GB: 40-of-45   0.4 GB: 41-of-45   0.3 GB: 42-of-45   0.3 GB: 43-of-45   0.3 GB: 44-of-45   0.3 GB: 45-of-45
Model ArchitectureMPTForCausalLM
Transformers Version4.30.0.dev0
Vocabulary Size50432
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Sidharthkr/MPT_7B_sharded.

Rank the MPT 7B Sharded 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 v20241124
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