LLM EXPLORER 67,078 MODELS INDEXED

VNBot MotaZ 27B GPTQ W8A16 by vnbot-ai

By vnbot-ai · 62 downloads
HF Repo ↗ Copy URL

VNBot MotaZ 27B GPTQ W8A16 is an open-source language model by vnbot-ai. Features: 27b LLM, VRAM: 30.7GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

Base model:quantized:vnbot-ai/... Base model:vnbot-ai/vnbot-mota...   Compressed-tensors   Conversational   En   Endpoints compatible   Gptq   Image-text-to-text   Quantized   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow   Vi
Model Card on HF 🤗: https://huggingface.co/vnbot-ai/VNBot-MotaZ-27B-GPTQ-W8A16 

VNBot MotaZ 27B GPTQ W8A16 Parameters and Internals

LLM NameVNBot MotaZ 27B GPTQ W8A16
Repository 🤗https://huggingface.co/vnbot-ai/VNBot-MotaZ-27B-GPTQ-W8A16 
Base Model(s)  VNBot MotaZ 27B   vnbot-ai/VNBot-MotaZ-27B
Model Size27b
Required VRAM30.7 GB
Updated2026-11-10
Maintainervnbot-ai
Model Typeqwen3_5
Model Files  4.9 GB: 1-of-7   4.9 GB: 2-of-7   4.9 GB: 3-of-7   5.0 GB: 4-of-7   5.0 GB: 5-of-7   3.5 GB: 6-of-7   2.5 GB: 7-of-7   0.8 GB   0.8 GB
Supported Languagesvi en
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.21.0
Tokenizer ClassQwen3_5Tokenizer
Padding Token<|endoftext|>
Errorsreplace

Best Alternatives to VNBot MotaZ 27B GPTQ W8A16

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3.6 27B GPTQ Pro 4bit0K / 18.8 GB41540739
Qwen3.5 27B GPTQ Int40K / 30.1 GB10538157
Qwen3.8 27B GPTQ INT4 FP8KV0K / 20.2 GB64882
Qwen3.8 27B GPTQ 4bit0K / 16 GB2782
...en3.8 27B W4A16 AutoRound GPTQ0K / 19.2 GB37485
Qwen3.8 27B GPTQ 4bit0K / 21 GB24335
Qwen3.8 27B GPTQ Int40K / 20.2 GB22673
Qwen3.8 27B GPTQ Int4 Asym0K / 0.2 GB1581
Qwen3.8 27B GPTQ Int40K / 19.6 GB8811
...3.8 27B Abliterated W4A16 GPTQ0K / 0.8 GB651
Note: green Score (e.g. "73.2") means that the model is better than vnbot-ai/VNBot-MotaZ-27B-GPTQ-W8A16.