What are the hardware requirements for Lfm2 700M Linux Command?

Lfm2 700M Linux Command requires approximately 1.5 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 700M Linux Command and how large is it?

Lfm2 700M Linux Command is developed by thealper2, a model with 700m 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 700M Linux Command?

Lfm2 700M Linux Command is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lfm2 700M Linux Command by thealper2 — VRAM 1.5GB, 125K context

Name: Lfm2 700M Linux Command
Author: thealper2

Lfm2 700M Linux Command is an open-source language model by thealper2. Features: 700m LLM, VRAM: 1.5GB, Context: 125K, License: other, LLM Explorer Score: 0.3.

Base model:finetune:liquidai/l... Base model:liquidai/lfm2-700m Bash Command-generation Conversational Dataset:jiacheng-ye/nl2bash Dataset:mecha-org/linux-comman... En Endpoints compatible Lfm2 Linux Region:us Safetensors Shell

Model Card on HF 🤗: https://huggingface.co/thealper2/lfm2-700m-linux-command

Lfm2 700M Linux Command Parameters and Internals

LLM Name	Lfm2 700M Linux Command
Repository 🤗	https://huggingface.co/thealper2/lfm2-700m-linux-command
Base Model(s)	LFM2 700M LiquidAI/LFM2-700M
Model Size	700m
Required VRAM	1.5 GB
Updated	2026-09-23
Maintainer	thealper2
Model Type	lfm2
Model Files	1.5 GB 0.0 GB
Supported Languages	en
Model Architecture	Lfm2ForCausalLM
License	other
Context Length	128000
Model Max Length	128000
Transformers Version	5.17.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	65536

Rank the Lfm2 700M Linux Command 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 700M Linux Command

Best Alternatives	Context / RAM	Downloads	Likes
LFM2 700M	125K / 1.5 GB	7305	112
Luth LFM2 700M	125K / 1.5 GB	92	16
LFM2 700M	32K / 1.5 GB	363	1
LFM2 700M Unsloth Bnb 4bit	32K / 0.7 GB	34	1