What are the hardware requirements for Mavery Lehrling 0.8B MLX 4bit?

Mavery Lehrling 0.8B MLX 4bit requires approximately 0.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mavery Lehrling 0.8B MLX 4bit and how large is it?

Mavery Lehrling 0.8B MLX 4bit is developed by rhymeas, a model with 0.8b 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 Mavery Lehrling 0.8B MLX 4bit?

Mavery Lehrling 0.8B MLX 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mavery Lehrling 0.8B MLX 4bit by rhymeas — VRAM 0.4GB

Name: Mavery Lehrling 0.8B MLX 4bit
Author: rhymeas

Mavery Lehrling 0.8B MLX 4bit is an open-source language model by rhymeas. Features: 0.8b LLM, VRAM: 0.4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.26.

4-bit 4bit Apple-silicon Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-0.8b Conversational De Dictation En Mlx Punctuation Quantized Qwen3 5 Region:us Safetensors Text-cleanup Text-normalization Truecasing

Model Card on HF 🤗: https://huggingface.co/rhymeas/Mavery-Lehrling-0.8B-MLX-4bit

Mavery Lehrling 0.8B MLX 4bit Parameters and Internals

LLM Name	Mavery Lehrling 0.8B MLX 4bit
Repository 🤗	https://huggingface.co/rhymeas/Mavery-Lehrling-0.8B-MLX-4bit
Base Model(s)	Qwen/Qwen3.5-0.8B Qwen/Qwen3.5-0.8B
Model Size	0.8b
Required VRAM	0.4 GB
Updated	2026-09-20
Maintainer	rhymeas
Model Type	qwen3_5
Model Files	0.4 GB
Supported Languages	de en
Quantization Type	4bit
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Mavery Lehrling 0.8B MLX 4bit 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

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Loopl 0.8B 4bit	0K / 0.6 GB	146	1
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Qwen3.5 0.8B 4bit	0K / 0.6 GB	2549	3
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Note: green Score (e.g. "73.2") means that the model is better than rhymeas/Mavery-Lehrling-0.8B-MLX-4bit.