What are the hardware requirements for Laghu MLX?

Laghu MLX requires approximately 0.3 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Laghu MLX and how large is it?

Laghu MLX is developed by udgamlabs, a model with 151.8m 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 Laghu MLX?

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

Laghu MLX by udgamlabs — VRAM 0.3GB, 16K context

Name: Laghu MLX
Author: udgamlabs

Laghu MLX is an open-source language model by udgamlabs. Features: 151.8m LLM, VRAM: 0.3GB, Context: 16K, License: apache-2.0, LLM Explorer Score: 0.28.

Apple-silicon Base model:finetune:udgamlabs/... Base model:udgamlabs/laghu Conversational En Gemma4 text Mlx Region:us Research-release Safetensors Small-language-model Trained-from-scratch Udgamlabs

Model Card on HF 🤗: https://huggingface.co/udgamlabs/Laghu-MLX

Laghu MLX Parameters and Internals

LLM Name	Laghu MLX
Repository 🤗	https://huggingface.co/udgamlabs/Laghu-MLX
Base Model(s)	Laghu udgamlabs/Laghu
Model Size	151.8m
Required VRAM	0.3 GB
Updated	2026-10-30
Maintainer	udgamlabs
Model Type	gemma4_text
Model Files	0.3 GB
Supported Languages	en
Model Architecture	Gemma4ForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	32768

Rank the Laghu MLX 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 Laghu MLX

Best Alternatives	Context / RAM	Downloads	Likes
Laghu Base 32K	32K / 0.3 GB	12	0
Laghu	16K / 0.3 GB	34	4
Laghu Base	8K / 0.3 GB	15	0

Note: green Score (e.g. "73.2") means that the model is better than udgamlabs/Laghu-MLX.