What are the hardware requirements for LFM2 2.6B Transcript 4bit?

LFM2 2.6B Transcript 4bit requires approximately 1.4 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 4bit and how large is it?

LFM2 2.6B Transcript 4bit is developed by mlx-community, 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 4bit?

LFM2 2.6B Transcript 4bit 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 4bit by mlx-community — VRAM 1.4GB, 125K context

Name: LFM2 2.6B Transcript 4bit
Author: mlx-community

LFM2 2.6B Transcript 4bit is an open-source language model by mlx-community. Features: 2.6b LLM, VRAM: 1.4GB, Context: 125K, License: other, Quantized, LLM Explorer Score: 0.22.

4-bit 4bit Base model:liquidai/lfm2-2.6b-... Base model:quantized:liquidai/... Conversational Edge En Lfm2 Liquid Mlx Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/LFM2-2.6B-Transcript-4bit

LFM2 2.6B Transcript 4bit Parameters and Internals

LLM Name	LFM2 2.6B Transcript 4bit
Repository 🤗	https://huggingface.co/mlx-community/LFM2-2.6B-Transcript-4bit
Base Model(s)	LiquidAI/LFM2-2.6B-Transcript LiquidAI/LFM2-2.6B-Transcript
Model Size	2.6b
Required VRAM	1.4 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	lfm2
Model Files	1.4 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Lfm2ForCausalLM
License	other
Context Length	128000
Model Max Length	128000
Transformers Version	4.57.2
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	65536

Rank the LFM2 2.6B Transcript 4bit 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 Transcript 4bit

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 2.6B MLX 8bit	128K / 2.9 GB	60	1
LFM2.5 2.6B MLX 6bit	128K / 2.2 GB	52	1
LFM2.5 2.6B MLX 5bit	128K / 1.9 GB	49	1
LFM2.5 2.6B MLX 4bit	128K / 1.6 GB	42	1
LFM2.5 2.6B 4bit	125K / 1.5 GB	1509	3
LFM2.5 2.6B 8bit	125K / 2.9 GB	854	3
LFM2 2.6B Exp 4bit	125K / 1.4 GB	180	1
LFM2 2.6B Exp 8bit	125K / 2.7 GB	16	2
LFM2 2.6B Exp 6bit	125K / 2.1 GB	14	1
LFM2 2.6B 8bit	125K / 2.7 GB	77	2

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/LFM2-2.6B-Transcript-4bit.