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Mpt 7B Instruct Q8 by Abzu

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  Arxiv:2010.04245   Arxiv:2108.12409   Arxiv:2205.14135   8-bit   Autotrain compatible   Composer   Custom code   Dataset:mosaicml/dolly hhrlhf   Instruct   Llm-foundry   Mosaicml   Mpt   Q8   Quantized   Region:us   Safetensors

Mpt 7B Instruct Q8 Benchmarks

ARC: 38.4 vs 96.7 (so35)-60.3%
HellaSwag: 75.8 vs 95.3 (gpt4)-20.5%
MMLU: 30.6 vs 88.3 (so35)-65.3%
TruthfulQA: 35.08 vs 59 (gpt4)-40.5%
WinoGrande: 70.48 vs 87.5 (gpt4)-19.5%
GSM8K: 7.8 vs 96.4 (so35)-91.9%
OpenCompas: 36.8 vs 73.3 (gpt4)-49.8%
Exam: 30.2 vs 77.2 (gpt4)-60.9%
Language: 32 vs 62 (gpt4)-48.4%
Knowledge: 40.8 vs 73.5 (gpt4)-44.5%
Understand: 37.5 vs 70 (gpt4)-46.4%
Reasoning: 38.7 vs 74.4 (gpt4)-48%
LLME Score: 0.16678
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mpt 7B Instruct Q8 Parameters and Internals

LLM NameMpt 7B Instruct Q8
Repository 🤗https://huggingface.co/Abzu/mpt-7b-instruct-q8 
Base Model(s)  Mpt 7B Instruct   mosaicml/mpt-7b-instruct
Model Size7b
Required VRAM6.9 GB
Updated2024-09-16
MaintainerAbzu
Model Typempt
Instruction-BasedYes
Model Files  6.9 GB
Quantization Typeq8
Model ArchitectureMPTForCausalLM
Licensecc-by-sa-3.0
Model Max Length2048
Transformers Version4.30.2
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typebfloat16
Mpt 7B Instruct Q8 (Abzu/mpt-7b-instruct-q8)

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Sea Lion 7B Instruct Gptq0K / 5.5 GB480
Mpt 7B 8K Instruct0K / 13.3 GB81725
Sea Lion 7B Instruct Research0K / 15 GB4514
Mpt Instruct DotNet S0K / 4.6 GB6901
Mpt 7B 8K Chat Gptq0K / 3.8 GB52
Results0K / 13.3 GB60
Note: green Score (e.g. "73.2") means that the model is better than Abzu/mpt-7b-instruct-q8.

Rank the Mpt 7B Instruct Q8 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 v2024072803
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