What are the hardware requirements for Lfm 230 Cpt Logic V1?

Lfm 230 Cpt Logic V1 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 Lfm 230 Cpt Logic V1 and how large is it?

Lfm 230 Cpt Logic V1 is developed by Creekside, 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 Lfm 230 Cpt Logic V1?

Lfm 230 Cpt Logic V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lfm 230 Cpt Logic V1 by Creekside — VRAM 0.5GB, 125K context

Name: Lfm 230 Cpt Logic V1
Author: Creekside

Lfm 230 Cpt Logic V1 is an open-source language model by Creekside. Features: 230m LLM, VRAM: 0.5GB, Context: 125K, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:finetune:unsloth/lf... Base model:unsloth/lfm2.5-230m Conversational En Endpoints compatible Lfm2 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/Creekside/lfm-230-cpt-logic-v1

Lfm 230 Cpt Logic V1 Parameters and Internals

LLM Name	Lfm 230 Cpt Logic V1
Repository 🤗	https://huggingface.co/Creekside/lfm-230-cpt-logic-v1
Model Name	unsloth/LFM2.5-230M
Base Model(s)	unsloth/LFM2.5-230M unsloth/LFM2.5-230M
Model Size	230m
Required VRAM	0.5 GB
Updated	2026-08-15
Maintainer	Creekside
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
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	65536
Torch Data Type	bfloat16

Rank the Lfm 230 Cpt Logic V1 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 Lfm 230 Cpt Logic V1

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 230M	125K / 0.5 GB	56196	263
LFM2.5 230M	125K / 0.5 GB	12030	9
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
LFM2.5 230M MLX Bf16	125K / 0.5 GB	573	1
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 Creekside/lfm-230-cpt-logic-v1.