Mpt 7B GGML by rustformers

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  Dataset:allenai/s2orc   Dataset:bigcode/the-stack   Dataset:c4   Dataset:mc4 Dataset:togethercomputer/redpa...   En   Ggml   Instruct   Llm-rs   Mpt   Q4   Q4 0   Quantized   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/rustformers/mpt-7b-ggml 

Mpt 7B GGML 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 GGML (rustformers/mpt-7b-ggml)
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Mpt 7B GGML Parameters and Internals

Model Type 
text generation
Supported Languages 
en (English text and code)
Training Details 
Data Sources:
mc4, c4, togethercomputer/RedPajama-Data-1T, bigcode/the-stack, allenai/s2orc
Data Volume:
1T tokens
Methodology:
modified transformer architecture optimized for efficient training and inference
Model Architecture:
decoder-style transformer
LLM NameMpt 7B GGML
Repository ๐Ÿค—https://huggingface.co/rustformers/mpt-7b-ggml 
Model Size7b
Required VRAM3.7 GB
Updated2025-08-19
Maintainerrustformers
Model Typempt
Instruction-BasedYes
Model Files  13.3 GB   3.7 GB   3.7 GB   5.0 GB   5.0 GB   13.3 GB   13.3 GB   3.7 GB   3.7 GB   5.0 GB   5.0 GB   3.7 GB   3.7 GB   5.0 GB   5.0 GB   13.3 GB   3.7 GB   3.7 GB   5.0 GB   5.0 GB
Supported Languagesen
GGML QuantizationYes
Quantization Typeggml|q4|q4_0|q5_1
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than rustformers/mpt-7b-ggml.

Rank the Mpt 7B GGML 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 v20241124