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Mosaicml Mpt 7B Chat W4 G128 AWQ by abhinavkulkarni

By abhinavkulkarni · 15 downloads

Mosaicml Mpt 7B Chat W4 G128 AWQ is an open-source language model by abhinavkulkarni. Features: 7b LLM, VRAM: 3.8GB, License: cc-by-sa-3.0, Quantized, LLM Explorer Score: 0.08.

  Awq   Custom code   Mosaicml   Mpt   Pytorch   Quantized   Region:us   Safetensors

Mosaicml Mpt 7B Chat W4 G128 AWQ Parameters and Internals

Model Type 
dialogue generation, chatbot
Additional Notes 
The model is a 4-bit 128-group AWQ quantized version of the MPT-7B-Chat.
Input Output 
Accepted Modalities:
text
LLM NameMosaicml Mpt 7B Chat W4 G128 AWQ
Repository πŸ€—https://huggingface.co/abhinavkulkarni/mosaicml-mpt-7b-chat-w4-g128-awq 
Model Size7b
Required VRAM3.8 GB
Updated2026-07-31
Maintainerabhinavkulkarni
Model Typempt
Model Files  3.8 GB   3.8 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMPTForCausalLM
Licensecc-by-sa-3.0
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 abhinavkulkarni/mosaicml-mpt-7b-chat-w4-g128-awq.