LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Mpt 7B Instruct Q8 by Abzu

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

  0   
  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: 0.12654
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)
🌟 Advertise your project 🚀

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
Updated2025-11-10
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

Best Alternatives to Mpt 7B Instruct Q8

Best Alternatives
Context / RAM
Downloads
Likes
Mpt 7B Chat Q80K / 6.9 GB211
Mpt 7B Chat0K / 13.3 GB80920518
Mpt 7B Instruct0K / 13.3 GB7946470
Mpt 7B Int8 Ov0K / 0 GB130
SEA LION V1 7B IT GBTQ0K / 5.5 GB70
Sea Lion 7B Instruct Gptq0K / 5.5 GB50
SEA LION V1 7B IT GPTQ0K / 5.5 GB50
Mpt 7B 8K Instruct0K / 13.3 GB201227
Sea Lion 7B Instruct0K / 15 GB20823
Mpt Instruct DotNet S0K / 4.6 GB18351
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  

What open-source LLMs or SLMs are you in search of? 51558 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer