What are the hardware requirements for Lfm2.5 2.6B Fable5 Coding Agent?

Lfm2.5 2.6B Fable5 Coding Agent 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 Fable5 Coding Agent and how large is it?

Lfm2.5 2.6B Fable5 Coding Agent is developed by AyoubChLin, 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 Fable5 Coding Agent?

Lfm2.5 2.6B Fable5 Coding Agent 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 Fable5 Coding Agent by AyoubChLin — VRAM 5.4GB, 128K context

Name: Lfm2.5 2.6B Fable5 Coding Agent
Author: AyoubChLin

Lfm2.5 2.6B Fable5 Coding Agent is an open-source language model by AyoubChLin. Features: 2.6b LLM, VRAM: 5.4GB, Context: 128K, LLM Explorer Score: 0.29.

Assistant-only-loss Base model:finetune:liquidai/l... Base model:liquidai/lfm2.5-2.6... Coding-agent Conversational Dataset:saidutta69/fable-5-pre... Endpoints compatible Full-parameter-fine-tuning Lfm2 Region:us Safetensors Supervised-fine-tuning Tool-use

Model Card on HF 🤗: https://huggingface.co/AyoubChLin/lfm2.5-2.6b-fable5-coding-agent

Lfm2.5 2.6B Fable5 Coding Agent Parameters and Internals

LLM Name	Lfm2.5 2.6B Fable5 Coding Agent
Repository 🤗	https://huggingface.co/AyoubChLin/lfm2.5-2.6b-fable5-coding-agent
Base Model(s)	LiquidAI/LFM2.5-2.6B LiquidAI/LFM2.5-2.6B
Model Size	2.6b
Required VRAM	5.4 GB
Updated	2026-09-30
Maintainer	AyoubChLin
Model Type	lfm2
Model Files	5.4 GB
Model Architecture	Lfm2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	5.15.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	128000

Rank the Lfm2.5 2.6B Fable5 Coding Agent 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 Lfm2.5 2.6B Fable5 Coding Agent

Model	Likes	Downloads	VRAM
...6B Fable5 Coding Agent Heretic	1	1966	1 GB

Best Alternatives to Lfm2.5 2.6B Fable5 Coding Agent

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	745	10
Cyber Prime 1 2.6B	128K / 5.4 GB	931	24
LFM2.5 2.6B Heretic	128K / 5.4 GB	1460	0
LFM2.5 2.6B RLCD	128K / 5.4 GB	352	6
Transductor High V3	128K / 5.4 GB	1310	0
LFM 2.5 2.6B Heretic	128K / 5.4 GB	486	5
LFM2.5 2.6B Abliterated	128K / 5.4 GB	196	0
Lfm2.5 2.6B Manumit V1	128K / 5.4 GB	354	0
...M2.5 2.6B Abliterated Advanced	128K / 5.4 GB	255	1

Note: green Score (e.g. "73.2") means that the model is better than AyoubChLin/lfm2.5-2.6b-fable5-coding-agent.