What are the hardware requirements for LFM2 2.6B Autoround Safetensors?

LFM2 2.6B Autoround Safetensors requires approximately 1.6 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 2.6B Autoround Safetensors and how large is it?

LFM2 2.6B Autoround Safetensors is developed by simaai, a model with 2.6b 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 2.6B Autoround Safetensors?

LFM2 2.6B Autoround Safetensors is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LFM2 2.6B Autoround Safetensors by simaai — VRAM 1.6GB, 125K context

Name: LFM2 2.6B Autoround Safetensors
Author: simaai

LFM2 2.6B Autoround Safetensors is an open-source language model by simaai. Features: 2.6b LLM, VRAM: 1.6GB, Context: 125K, License: mit, LLM Explorer Score: 0.24.

Autoround Base model:liquidai/lfm2-2.6b Base model:quantized:liquidai/... Compressed-tensors Conversational Endpoints compatible Gptq Lfm2 Quantized Region:us Safetensors Sima-ai

Model Card on HF 🤗: https://huggingface.co/simaai/LFM2-2.6B-Autoround-Safetensors

LFM2 2.6B Autoround Safetensors Parameters and Internals

LLM Name	LFM2 2.6B Autoround Safetensors
Repository 🤗	https://huggingface.co/simaai/LFM2-2.6B-Autoround-Safetensors
Base Model(s)	LiquidAI/LFM2-2.6B LiquidAI/LFM2-2.6B
Model Size	2.6b
Required VRAM	1.6 GB
Updated	2026-10-22
Maintainer	simaai
Model Type	lfm2
Model Files	1.6 GB
Model Architecture	Lfm2ForCausalLM
License	mit
Context Length	128000
Model Max Length	128000
Transformers Version	5.10.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	65536

Rank the LFM2 2.6B Autoround Safetensors 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 2.6B Autoround Safetensors

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 2.6B	128K / 5.4 GB	81522	398
Cyber Prime 1.1 2.6B	128K / 5.4 GB	1104	12
LFM2.5 2.6B Heretic	128K / 5.4 GB	1460	0
Orbit 3.5 Nano	128K / 5.4 GB	542	0
Cyber Prime 1 2.6B	128K / 5.4 GB	473	25
Orbit 3 Nano	128K / 5.4 GB	258	0
LFM2.5 2.6B Multiharness RL	128K / 5.4 GB	286	2
LFM2.5 2.6B RLCD	128K / 5.4 GB	352	6
LFM2.5 2.6B Opencode SFT	128K / 5.4 GB	263	1
LFM2.5 2.6B Pashto Zi B	128K / 5.4 GB	293	0

Note: green Score (e.g. "73.2") means that the model is better than simaai/LFM2-2.6B-Autoround-Safetensors.