What are the hardware requirements for LFM2.5 230M MLX Bf16?

LFM2.5 230M MLX Bf16 requires approximately 0.5 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LFM2.5 230M MLX Bf16 and how large is it?

LFM2.5 230M MLX Bf16 is developed by LiquidAI, a model with 230m 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 LFM2.5 230M MLX Bf16?

LFM2.5 230M MLX Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LFM2.5 230M MLX Bf16 by LiquidAI — VRAM 0.5GB, 125K context

Name: LFM2.5 230M MLX Bf16
Author: LiquidAI

LFM2.5 230M MLX Bf16 is an open-source language model by LiquidAI. Features: 230m LLM, VRAM: 0.5GB, Context: 125K, License: other, LLM Explorer Score: 0.27.

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Model Card on HF 🤗: https://huggingface.co/LiquidAI/LFM2.5-230M-MLX-bf16

LFM2.5 230M MLX Bf16 Parameters and Internals

LLM Name	LFM2.5 230M MLX Bf16
Repository 🤗	https://huggingface.co/LiquidAI/LFM2.5-230M-MLX-bf16
Base Model(s)	LiquidAI/LFM2.5-230M LiquidAI/LFM2.5-230M
Model Size	230m
Required VRAM	0.5 GB
Updated	2026-07-21
Maintainer	LiquidAI
Model Type	lfm2
Model Files	0.5 GB
Supported Languages	en ar zh fr de ja ko es pt it
Model Architecture	Lfm2ForCausalLM
License	other
Context Length	128000
Model Max Length	128000
Transformers Version	5.2.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	65536

Rank the LFM2.5 230M MLX Bf16 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 LFM2.5 230M MLX Bf16

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 230M	125K / 0.5 GB	56196	263
LFM2.5 230M	125K / 0.5 GB	12030	9
Lfm 230 Cpt Logic V1	125K / 0.5 GB	552	0
Lfm2.5 230M Code Math	125K / 0 GB	1166	3
Lfm2.5 230M Manumit V1	125K / 0.5 GB	134	0
LFM2.5 230M ONNX	125K / GB	564	16
Lfm2.5 230M Code Math Exp	125K / 0.5 GB	78	2
DAC6 180M	125K / 0.4 GB	50	0
Lfm2.5 230M Code Math V2	125K / 0 GB	0	2
Lfm2.5 230M Code Math	125K / 0 GB	0	2

Note: green Score (e.g. "73.2") means that the model is better than LiquidAI/LFM2.5-230M-MLX-bf16.