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Mpt 7B AWQ by bdambrosio

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Mpt 7B AWQ is an open-source language model by bdambrosio. Features: 7b LLM, VRAM: 3.8GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.09.

  Awq   Custom code   Endpoints compatible   Mpt   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/bdambrosio/mpt-7b-awq 

Mpt 7B AWQ Benchmarks

LLME Score: 0.09136
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mpt 7B AWQ (bdambrosio/mpt-7b-awq)
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Mpt 7B AWQ Parameters and Internals

LLM NameMpt 7B AWQ
Repository 🤗https://huggingface.co/bdambrosio/mpt-7b-awq 
Model Size7b
Required VRAM3.8 GB
Updated2026-05-21
Maintainerbdambrosio
Model Typempt
Model Files  3.8 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMPTForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.33.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat16

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

Rank the Mpt 7B AWQ 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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