What are the hardware requirements for LFM2.5 8B A1B UltraData L2 49M?

LFM2.5 8B A1B UltraData L2 49M requires approximately 16.9 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 LFM2.5 8B A1B UltraData L2 49M and how large is it?

LFM2.5 8B A1B UltraData L2 49M is developed by Susant-Achary, a model with 8b 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 8B A1B UltraData L2 49M?

LFM2.5 8B A1B UltraData L2 49M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LFM2.5 8B A1B UltraData L2 49M by Susant-Achary — VRAM 16.9GB, 125K context

Name: LFM2.5 8B A1B UltraData L2 49M
Author: Susant-Achary

LFM2.5 8B A1B UltraData L2 49M is an open-source language model by Susant-Achary. Features: 8b LLM, VRAM: 16.9GB, Context: 125K, LLM Explorer Score: 0.31.

Base model:finetune:liquidai/l... Base model:liquidai/lfm2.5-8b-... Code Coding Continued-pretraining Conversational Dataset:openbmb/ultradata-code Endpoints compatible Lfm2 Lfm2 moe Moe Region:us Safetensors Sharded Tensorflow Ultradata

Model Card on HF 🤗: https://huggingface.co/Susant-Achary/LFM2.5-8B-A1B-UltraData-L2-49M

LFM2.5 8B A1B UltraData L2 49M Parameters and Internals

LLM Name	LFM2.5 8B A1B UltraData L2 49M
Repository 🤗	https://huggingface.co/Susant-Achary/LFM2.5-8B-A1B-UltraData-L2-49M
Base Model(s)	LiquidAI/LFM2.5-8B-A1B-Base LiquidAI/LFM2.5-8B-A1B-Base
Model Size	8b
Required VRAM	16.9 GB
Updated	2026-09-16
Maintainer	Susant-Achary
Model Type	lfm2_moe
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.9 GB: 3-of-4 2.2 GB: 4-of-4
Model Architecture	Lfm2MoeForCausalLM
Context Length	128000
Model Max Length	128000
Transformers Version	5.17.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	128000

Rank the LFM2.5 8B A1B UltraData L2 49M 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 LFM2.5 8B A1B UltraData L2 49M

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 8B A1B	125K / 16.9 GB	84755	670
...inal ToolBench Full SFT 1Epoch	125K / 16.9 GB	8867	2
LFM2.5 8B A1B Base	125K / 16.9 GB	4201	29
LFM2 8B A1B	125K / 16.7 GB	30570	370
LFM2.5 8B A1B Opus Distil	125K / 16.9 GB	2127	5
LFM2.5 8B A1B	125K / 16.9 GB	1240	13
LFM2.5 8B A1B NVFP4	125K / 6.9 GB	460	7
LFM2.5 8B A1B MLX Bf16	125K / 16.8 GB	359	8
... IQ1C Qwen3.6 35B A3B DISTILL2	125K / 16.7 GB	137	3
Supertron2.1 8B A1B	125K / 17 GB	96	6

Note: green Score (e.g. "73.2") means that the model is better than Susant-Achary/LFM2.5-8B-A1B-UltraData-L2-49M.