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Mpt 7B Instruct Q8 by Abzu

By Abzu · 18 downloads

Mpt 7B Instruct Q8 is an open-source language model by Abzu. Features: 7b LLM, VRAM: 6.9GB, License: cc-by-sa-3.0, Quantized, Instruction-Based, LLM Explorer Score: 0.11, Arc: 38.4, HellaSwag: 75.8, MMLU: 30.6, GSM8K: 7.8.

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

Mpt 7B Instruct Q8 Parameters and Internals

Model Type 
Instruction following
Use Cases 
Primary Use Cases:
Short-form instruction following
Limitations:
Can produce factually incorrect, lewd, biased, or offensive outputs.
Considerations:
The model should not be relied on to produce factually accurate information.
Training Details 
Data Sources:
Databricks Dolly-15k, Anthropic Helpful and Harmless (HH-RLHF)
Context Length:
2048
Training Time:
2.3 hours
Hardware Used:
8 A100-40GB GPUs
Model Architecture:
Modified decoder-only transformer
Input Output 
Input Format:
Dolly-15k format
Accepted Modalities:
text
Output Format:
text
LLM NameMpt 7B Instruct Q8
Repository πŸ€—https://huggingface.co/Abzu/mpt-7b-instruct-q8 
Base Model(s)  Mpt 7B Instruct   mosaicml/mpt-7b-instruct
Model Size7b
Required VRAM6.9 GB
Updated2026-08-25
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

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Note: green Score (e.g. "73.2") means that the model is better than Abzu/mpt-7b-instruct-q8.