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Mpt 7B Chat Q8 by Abzu

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Mpt 7B Chat Q8 is an open-source language model by Abzu. Features: 7b LLM, VRAM: 6.9GB, License: cc-by-nc-sa-4.0, Quantized, Instruction-Based, LLM Explorer Score: 0.22, ELO: 1061, Arc: 46.5, HellaSwag: 75.5, MMLU: 37.6, GSM8K: 4.1.

  Arxiv:2010.04245   Arxiv:2108.12409   Arxiv:2205.14135   8-bit   Composer   Custom code   Dataset:anthropic/hh-rlhf   Dataset:hello-simpleai/hc3 Dataset:jeffwan/sharegpt vicun...   Dataset:tatsu-lab/alpaca Dataset:victor123/evol instruc...   Instruct   Llm-foundry   Mosaicml   Mpt   Q8   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Abzu/mpt-7b-chat-q8 

Mpt 7B Chat Q8 Benchmarks

LMSys ELO: 1061 vs 1272 (so35)-16.6%
ARC: 46.5 vs 96.7 (so35)-51.9%
HellaSwag: 75.51 vs 95.3 (gpt4)-20.8%
MMLU: 37.62 vs 88.3 (so35)-57.4%
GSM8K: 4.09 vs 96.4 (so35)-95.8%
LLME Score: 0.21901
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mpt 7B Chat Q8 (Abzu/mpt-7b-chat-q8)
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Mpt 7B Chat Q8 Parameters and Internals

Model Type 
Dialogue generation, Chatbot
Additional Notes 
Trained with sequence length of 2048, using various attention and optimization techniques, able to extend sequence length up to 4096.
Training Details 
Data Sources:
jeffwan/sharegpt_vicuna, Hello-SimpleAI/HC3, tatsu-lab/alpaca, Anthropic/hh-rlhf, victor123/evol_instruct_70k
Methodology:
Finetuning
Context Length:
2048
Hardware Used:
8 A100-80GB GPUs, 32 A100-40GB GPUs
Model Architecture:
Modified decoder-only transformer
LLM NameMpt 7B Chat Q8
Repository 🤗https://huggingface.co/Abzu/mpt-7b-chat-q8 
Base Model(s)  ...uct Gpt4all Max Length 3072 V1   NickyNicky/mpt-7b-chat-Peft-h2ogpt_oig_oasst1_instruct-gpt4all-max_length_3072-V1
Model Size7b
Required VRAM6.9 GB
Updated2026-05-13
MaintainerAbzu
Model Typempt
Instruction-BasedYes
Model Files  6.9 GB
Quantization Typeq8
Model ArchitectureMPTForCausalLM
Licensecc-by-nc-sa-4.0
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-chat-q8.

Rank the Mpt 7B Chat 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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