What are the hardware requirements for S1 Mini MLX Bf16?

S1 Mini MLX Bf16 requires approximately 1.2 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed S1 Mini MLX Bf16 and how large is it?

S1 Mini MLX Bf16 is developed by mlx-community, a model with 596m 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 S1 Mini MLX Bf16?

S1 Mini MLX Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

S1 Mini MLX Bf16 by mlx-community — VRAM 1.2GB, 40K context

Name: S1 Mini MLX Bf16
Author: mlx-community

S1 Mini MLX Bf16 is an open-source language model by mlx-community. Features: 596m LLM, VRAM: 1.2GB, Context: 40K, License: other, LLM Explorer Score: 0.3.

Arxiv:2505.09388 Asr Base model:finetune:superwhisp... Base model:superwhisper/s1-min... Bf16 Conversational Dictation En Inverse-text-normalization Mlx Post-processing Punctuation Qwen3 Region:us Safetensors Speech-to-text Text-normalization Truecasing

Model Card on HF 🤗: https://huggingface.co/mlx-community/S1-mini-MLX-bf16

S1 Mini MLX Bf16 Parameters and Internals

LLM Name	S1 Mini MLX Bf16
Repository 🤗	https://huggingface.co/mlx-community/S1-mini-MLX-bf16
Base Model(s)	S1 Mini superwhisper/s1-mini
Model Size	596m
Required VRAM	1.2 GB
Updated	2026-08-26
Maintainer	mlx-community
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	other
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the S1 Mini MLX Bf16 capabilities

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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

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