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Mpt 7B Instruct Q8 by Abzu

 »  All LLMs  »  Abzu  »  Mpt 7B Instruct Q8   URL Share it on

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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
Model Card on HF 🤗: https://huggingface.co/Abzu/mpt-7b-instruct-q8 

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: 0.13142
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 (Abzu/mpt-7b-instruct-q8)
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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 🤗https://huggingface.co/Abzu/mpt-7b-instruct-q8 
Base Model(s)  Mpt 7B Instruct   mosaicml/mpt-7b-instruct
Model Size7b
Required VRAM6.9 GB
Updated2025-08-20
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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SEA LION V1 7B IT GPTQ0K / 5.5 GB110
SEA LION V1 7B IT GBTQ0K / 5.5 GB70
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Sea Lion 7B Instruct Research0K / 15 GB1114
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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241124
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