What are the hardware requirements for Kittylm Lfm2.5 2.6B?

Kittylm Lfm2.5 2.6B requires approximately 5.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Kittylm Lfm2.5 2.6B and how large is it?

Kittylm Lfm2.5 2.6B is developed by KittyLM, 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 Kittylm Lfm2.5 2.6B?

Kittylm Lfm2.5 2.6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kittylm Lfm2.5 2.6B by KittyLM — VRAM 5.4GB

Name: Kittylm Lfm2.5 2.6B
Author: KittyLM

Kittylm Lfm2.5 2.6B is an open-source language model by KittyLM. Features: 2.6b LLM, VRAM: 5.4GB, License: other, LLM Explorer Score: 0.33.

Base model:adapter:liquidai/lf... Base model:liquidai/lfm2.5-2.6... Conversational Dataset:kittylm/kittylm-data-r... Endpoints compatible Kittylm Lfm2 Lora Persona Region:us Roleplay Safetensors

Model Card on HF 🤗: https://huggingface.co/KittyLM/kittylm-lfm2.5-2.6b

Kittylm Lfm2.5 2.6B Parameters and Internals

LLM Name	Kittylm Lfm2.5 2.6B
Repository 🤗	https://huggingface.co/KittyLM/kittylm-lfm2.5-2.6b
Base Model(s)	LiquidAI/LFM2.5-2.6B LiquidAI/LFM2.5-2.6B
Model Size	2.6b
Required VRAM	5.4 GB
Updated	2026-10-01
Maintainer	KittyLM
Model Files	0.0 GB 5.4 GB
Model Architecture	AutoModelForCausalLM
License	other
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	out_proj\|q_proj\|in_proj\|v_proj\|k_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	32

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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

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