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

LFM2.5 230M Tools 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 Tools and how large is it?

LFM2.5 230M Tools is developed by iromu, 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 Tools?

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

LFM2.5 230M Tools by iromu — VRAM 0.5GB, 125K context

Name: LFM2.5 230M Tools
Author: iromu

LFM2.5 230M Tools is an open-source language model by iromu. Features: 230m LLM, VRAM: 0.5GB, Context: 125K, License: apache-2.0, LLM Explorer Score: 0.31.

Agents Base model:adapter:liquidai/lf... Base model:liquidai/lfm2.5-230... Conversational Dataset:r0b0tlab/qwen3.8-max-g... En Endpoints compatible Function-calling Lfm2 Liquid-ai Lora Region:us Safetensors Sft Tool-calling

Model Card on HF 🤗: https://huggingface.co/iromu/LFM2.5-230M-tools

LFM2.5 230M Tools Parameters and Internals

LLM Name	LFM2.5 230M Tools
Repository 🤗	https://huggingface.co/iromu/LFM2.5-230M-tools
Base Model(s)	LiquidAI/LFM2.5-230M-Base LiquidAI/LFM2.5-230M-Base
Model Size	230m
Required VRAM	0.5 GB
Updated	2026-11-03
Maintainer	iromu
Model Type	lfm2
Model Files	0.5 GB
Supported Languages	en
Model Architecture	Lfm2ForCausalLM
License	apache-2.0
Context Length	128000
Model Max Length	128000
Transformers Version	5.12.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	65536
LoRA Model	Yes

Rank the LFM2.5 230M Tools 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 Tools

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LFM2.5 230M	125K / 0.5 GB	56196	263
LFM2.5 230M Openjev	125K / 0.5 GB	572	0
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LFM2.5 230M	125K / 0.5 GB	12030	9
... 230M OpenCode Title Generator	125K / 0.5 GB	531	0
Lfm2.5 230M Code Math	125K / 0 GB	1166	3
Lfm25 Titlegen 17 Languages	125K / 0.5 GB	265	1
LFM2.5 230M ONNX	125K / GB	564	16
LFM2.5 230M MLX Bf16	125K / 0.5 GB	573	1
Lfm2.5 230M Manumit V1	125K / 0.5 GB	134	0

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