What are the hardware requirements for LFM2.5 2.6B RLCD?

LFM2.5 2.6B RLCD requires approximately 5.4 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LFM2.5 2.6B RLCD and how large is it?

LFM2.5 2.6B RLCD is developed by monotykamary, 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 LFM2.5 2.6B RLCD?

LFM2.5 2.6B RLCD is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LFM2.5 2.6B RLCD by monotykamary — VRAM 5.4GB, 128K context

Name: LFM2.5 2.6B RLCD
Author: monotykamary

LFM2.5 2.6B RLCD is an open-source language model by monotykamary. Features: 2.6b LLM, VRAM: 5.4GB, Context: 128K, License: other, LLM Explorer Score: 0.28.

Arxiv:2511.23404 Ar Base model:finetune:liquidai/l... Base model:liquidai/lfm2.5-2.6... Classification Conversational De Edge En Endpoints compatible Es Fr Hi Id Inference-only It Ja Ko Lfm2 Lfm2.5 Liquid Modal Parallel-constrained-decoding Pl Pt Region:us Ru Safetensors Sharded Structured-generation Tensorflow Th Vi Zh

Model Card on HF 🤗: https://huggingface.co/monotykamary/LFM2.5-2.6B-RLCD

LFM2.5 2.6B RLCD Parameters and Internals

LLM Name	LFM2.5 2.6B RLCD
Repository 🤗	https://huggingface.co/monotykamary/LFM2.5-2.6B-RLCD
Model Name	LFM2.5-2.6B-RLCD
Base Model(s)	LiquidAI/LFM2.5-2.6B LiquidAI/LFM2.5-2.6B
Model Size	2.6b
Required VRAM	5.4 GB
Updated	2026-09-19
Maintainer	monotykamary
Model Type	lfm2
Model Files	5.3 GB: 1-of-2 0.1 GB: 2-of-2
Supported Languages	ar zh en fr de hi id it ja ko pl pt ru es th vi
Model Architecture	Lfm2ForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	5.2.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	128000

Rank the LFM2.5 2.6B RLCD capabilities

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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 LFM2.5 2.6B RLCD

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 Opencode SFT	128K / 5.4 GB	263	1
LFM2.5 2.6B Pashto Zi B	128K / 5.4 GB	293	0
...fm2.5 2.6B Fable5 Coding Agent	128K / 5.4 GB	422	11

Note: green Score (e.g. "73.2") means that the model is better than monotykamary/LFM2.5-2.6B-RLCD.