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Mpt 30B Peft Compatible by eluzhnica

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  Arxiv:1909.08053   Arxiv:2010.04245   Arxiv:2108.12409   Arxiv:2205.14135   Arxiv:2302.06675   Arxiv:2302.13971   Autotrain compatible   Composer   Custom code   Dataset:allenai/c4   Dataset:allenai/s2orc Dataset:bigcode/the-stack-dedu...   Dataset:mc4 Dataset:togethercomputer/redpa...   Llm-foundry   Mosaicml   Mpt   Pytorch   Region:us   Sharded   Streamingdatasets
Model Card on HF 🤗: https://huggingface.co/eluzhnica/mpt-30b-peft-compatible 

Mpt 30B Peft Compatible Benchmarks

LLME Score: 0.11858
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mpt 30B Peft Compatible (eluzhnica/mpt-30b-peft-compatible)

Mpt 30B Peft Compatible Parameters and Internals

Model Type 
text generation
Additional Notes 
It allows finetuning using PEFT tested with QLoRA and outputs are reasonable. Training included special features like ALiBi for long input handling and FlashAttention for efficient training and inference.
Training Details 
Data Sources:
allenai/c4, mc4, togethercomputer/RedPajama-Data-1T, bigcode/the-stack-dedup, allenai/s2orc
Data Volume:
1T tokens
Context Length:
8192
Model Architecture:
Modified transformer with FlashAttention, ALiBi
LLM NameMpt 30B Peft Compatible
Repository 🤗https://huggingface.co/eluzhnica/mpt-30b-peft-compatible 
Model Size30b
Required VRAM60.1 GB
Updated2024-12-22
Maintainereluzhnica
Model Typempt
Model Files  9.8 GB: 1-of-7   9.9 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   9.9 GB: 6-of-7   0.8 GB: 7-of-7
Model ArchitectureMPTForCausalLM
Licenseapache-2.0
Model Max Length8192
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than eluzhnica/mpt-30b-peft-compatible.

Rank the Mpt 30B Peft Compatible 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 v20241217
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