What are the hardware requirements for LFM2 2.6B Transcript?

LFM2 2.6B Transcript requires approximately 5.1 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 Transcript and how large is it?

LFM2 2.6B Transcript is developed by LiquidAI, 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 Transcript?

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

LFM2 2.6B Transcript by LiquidAI — VRAM 5.1GB, 125K context

Name: LFM2 2.6B Transcript
Author: LiquidAI

LFM2 2.6B Transcript is an open-source language model by LiquidAI. Features: 2.6b LLM, VRAM: 5.1GB, Context: 125K, License: other, LLM Explorer Score: 0.24.

Base model:finetune:liquidai/l... Base model:liquidai/lfm2-2.6b Conversational Deploy:azure Edge En Endpoints compatible Lfm2 Liquid Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/LiquidAI/LFM2-2.6B-Transcript

LFM2 2.6B Transcript Parameters and Internals

LLM Name	LFM2 2.6B Transcript
Repository 🤗	https://huggingface.co/LiquidAI/LFM2-2.6B-Transcript
Base Model(s)	LiquidAI/LFM2-2.6B LiquidAI/LFM2-2.6B
Model Size	2.6b
Required VRAM	5.1 GB
Updated	2026-08-05
Maintainer	LiquidAI
Model Type	lfm2
Model Files	5.0 GB: 1-of-2 0.1 GB: 2-of-2
Supported Languages	en
Model Architecture	Lfm2ForCausalLM
License	other
Context Length	128000
Model Max Length	128000
Transformers Version	4.57.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	65536

Rank the LFM2 2.6B Transcript 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

Quantized Models of the LFM2 2.6B Transcript

Model	Likes	Downloads	VRAM
LFM2 2.6B Transcript 4bit	1	48	1 GB

Best Alternatives to LFM2 2.6B Transcript

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 LiquidAI/LFM2-2.6B-Transcript.