What are the hardware requirements for Dot?

Dot requires approximately 17.9 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dot and how large is it?

Dot is developed by MTEnt, a model with 9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Dot?

Dot is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dot by MTEnt — VRAM 17.9GB, 256K context

Name: Dot
Author: MTEnt

Dot is an open-source language model by MTEnt. Features: 9b LLM, VRAM: 17.9GB, Context: 256K, License: apache-2.0.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-9b Conversational Dot Qwen3 5 text Reasoning Recurrent-depth Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MTEnt/dot

Dot Parameters and Internals

LLM Name	Dot
Repository 🤗	https://huggingface.co/MTEnt/dot
Base Model(s)	Qwen/Qwen3.5-9B Qwen/Qwen3.5-9B
Model Size	9b
Required VRAM	17.9 GB
Updated	2026-08-20
Maintainer	MTEnt
Model Type	qwen3_5_text
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.0 GB: 4-of-4 1.7 GB
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.15.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Dot capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Dot

Best Alternatives	Context / RAM	Downloads	Likes
Merlin Agent	256K / 17.9 GB	571	9
FuseLLM 9B	256K / 17.9 GB	574	0
Carnice 9B	256K / 17.9 GB	358	186
Qwen3.5 9B Abliterated	256K / 17.9 GB	2422	59
Mitra Qwen35 Base Stage2	256K / 17.9 GB	20	0
Carnice 9B SFT Fable5 Glint	256K / 17.9 GB	66	0
Qwen3.5 9B Text Only	256K / 17.9 GB	595	8
...en3.5.9B Fold3 20260509 144751	256K / 17.9 GB	30	0
...en3.5.9B Fold0 20260501 212200	256K / 17.9 GB	44	0
...en3.5.9B Fold1 20260509 144751	256K / 17.9 GB	17	0

Note: green Score (e.g. "73.2") means that the model is better than MTEnt/dot.