Mpt 7B 8K Chat Sharded Bf16 by Trelis

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  Arxiv:2010.04245   Arxiv:2108.12409   Arxiv:2205.14135   Autotrain compatible   Codegen   Composer   Custom code   Ext 8k   Instruct   Llm-foundry   Mosaicml   Mpt   Pytorch   Region:us   Sharded

Mpt 7B 8K Chat Sharded Bf16 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mpt 7B 8K Chat Sharded Bf16 Parameters and Internals

LLM NameMpt 7B 8K Chat Sharded Bf16
Repository ๐Ÿค—https://huggingface.co/Trelis/mpt-7b-8k-chat-sharded-bf16 
Model Size7b
Required VRAM13.4 GB
Updated2024-10-18
MaintainerTrelis
Model Typempt
Instruction-BasedYes
Model Files  1.9 GB: 1-of-7   1.9 GB: 2-of-7   2.0 GB: 3-of-7   1.9 GB: 4-of-7   1.9 GB: 5-of-7   1.9 GB: 6-of-7   1.9 GB: 7-of-7
Context Length8k
Generates CodeYes
Model ArchitectureMPTForCausalLM
Licensecc-by-nc-sa-4.0
Model Max Length8192
Transformers Version4.32.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typebfloat16
Mpt 7B 8K Chat Sharded Bf16 (Trelis/mpt-7b-8k-chat-sharded-bf16)

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Note: green Score (e.g. "73.2") means that the model is better than Trelis/mpt-7b-8k-chat-sharded-bf16.

Rank the Mpt 7B 8K Chat Sharded Bf16 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 v2024072803