What are the hardware requirements for LATMOv0?

LATMOv0 requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LATMOv0 and how large is it?

LATMOv0 is developed by AXEUS, a model with 1.2b 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 LATMOv0?

LATMOv0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LATMOv0 by AXEUS — VRAM 0.1GB

Name: LATMOv0
Author: AXEUS

LATMOv0 is an open-source language model by AXEUS. Features: 1.2b LLM, VRAM: 0.1GB, LLM Explorer Score: 0.17.

Arxiv:1910.09700 Conversational Endpoints compatible Llama Lora Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/AXEUS/LATMOv0

LATMOv0 Parameters and Internals

LLM Name	LATMOv0
Repository 🤗	https://huggingface.co/AXEUS/LATMOv0
Model Size	1.2b
Required VRAM	0.1 GB
Updated	2026-08-17
Maintainer	AXEUS
Model Files	0.1 GB 4.9 GB
Model Architecture	AutoModelForCausalLM
Model Max Length	131072
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|gate_proj\|up_proj\|down_proj\|k_proj\|v_proj\|o_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the LATMOv0 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 LATMOv0

Best Alternatives	Context / RAM	Downloads	Likes
Llama3.2inst	0K / 0.4 GB	8	0