What are the hardware requirements for LFM2.5 8B A1B UltraCoder L3?

LFM2.5 8B A1B UltraCoder L3 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 UltraCoder L3 and how large is it?

LFM2.5 8B A1B UltraCoder L3 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 UltraCoder L3?

LFM2.5 8B A1B UltraCoder L3 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 UltraCoder L3 by Susant-Achary — VRAM 16.9GB, 125K context

Name: LFM2.5 8B A1B UltraCoder L3
Author: Susant-Achary

LFM2.5 8B A1B UltraCoder L3 is an open-source language model by Susant-Achary. Features: 8b LLM, VRAM: 16.9GB, Context: 125K, License: other, Quantized, LLM Explorer Score: 0.33.

Base model:liquidai/lfm2.5-8b-... Base model:quantized:liquidai/... Conversational Dataset:openbmb/ultradata-code Endpoints compatible Gguf Lfm2 moe Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Susant-Achary/LFM2.5-8B-A1B-UltraCoder-L3

LFM2.5 8B A1B UltraCoder L3 Parameters and Internals

LLM Name	LFM2.5 8B A1B UltraCoder L3
Repository 🤗	https://huggingface.co/Susant-Achary/LFM2.5-8B-A1B-UltraCoder-L3
Base Model(s)	LiquidAI/LFM2.5-8B-A1B LiquidAI/LFM2.5-8B-A1B
Model Size	8b
Required VRAM	16.9 GB
Updated	2026-09-16
Maintainer	Susant-Achary
Model Type	lfm2_moe
Model Files	5.2 GB 4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.9 GB: 3-of-4 2.2 GB: 4-of-4
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Lfm2MoeForCausalLM
License	other
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 UltraCoder L3 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 8B A1B UltraCoder L3

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 8B A1B MLX 8bit	125K / 9 GB	1514	29
LFM2.5 8B A1B MLX 4bit	125K / 4.8 GB	1220	15
LFM2.5 8B A1B MLX 6bit	125K / 6.9 GB	439	8
LFM2.5 8B A1B MLX 4bit	125K / 4.8 GB	520	1
LFM2.5 8B A1B MLX 5bit	125K / 5.9 GB	306	8
LFM2.5 8B A1B MLX 8bit	125K / 9 GB	277	5
LFM2 8B A1B 4bit	125K / 5.2 GB	197	9
LFM2 8B A1B 3bit MLX	125K / 4.2 GB	97	2
LFM2 8B A1B 8bit MLX	125K / 9.4 GB	32	7
LFM2 8B A1B 8bit	125K / 9.4 GB	29	3