What are the hardware requirements for DotLM 165M?

DotLM 165M requires approximately 0.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DotLM 165M and how large is it?

DotLM 165M is developed by tensorfiend, a model with 165m 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 DotLM 165M?

DotLM 165M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DotLM 165M by tensorfiend — VRAM 0.7GB

Name: DotLM 165M
Author: tensorfiend

DotLM 165M is an open-source language model by tensorfiend. Features: 165m LLM, VRAM: 0.7GB, License: apache-2.0, LLM Explorer Score: 0.23.

Alignment Base model:finetune:tensorfien... Base model:tensorfiend/dotlm-1... Chain-of-thought Custom-architecture Custom code Dataset:tensorfiend/simplethou... Dotlm Dpo En Reasoning Region:us Safetensors Sft Small-language-model Thought-experiments

Model Card on HF 🤗: https://huggingface.co/tensorfiend/DotLM-165M

DotLM 165M Parameters and Internals

LLM Name	DotLM 165M
Repository 🤗	https://huggingface.co/tensorfiend/DotLM-165M
Base Model(s)	DotLM 165M tensorfiend/DotLM-165M
Model Size	165m
Required VRAM	0.7 GB
Updated	2026-08-07
Maintainer	tensorfiend
Model Type	dotlm
Model Files	0.7 GB
Supported Languages	en
Model Architecture	DotLMForCausalLM
License	apache-2.0
Transformers Version	5.5.0
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	16384

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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