What are the hardware requirements for LFM2.5 8B A1B Opus Distil?

LFM2.5 8B A1B Opus Distil 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 Opus Distil and how large is it?

LFM2.5 8B A1B Opus Distil is developed by reaperdoesntknow, 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 Opus Distil?

LFM2.5 8B A1B Opus Distil 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 Opus Distil by reaperdoesntknow — VRAM 16.9GB, 125K context

Name: LFM2.5 8B A1B Opus Distil
Author: reaperdoesntknow

LFM2.5 8B A1B Opus Distil is an open-source language model by reaperdoesntknow. Features: 8b LLM, VRAM: 16.9GB, Context: 125K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.28.

Base model:finetune:liquidai/l... Base model:liquidai/lfm2.5-8b-... Cixopt Conversational Dataset:angrygiraffe/claude-op... En Endpoints compatible Instruct Lfm Lfm2 moe Liquid-ai Reasoning Region:us Safetensors Sparse-finetuning

Model Card on HF 🤗: https://huggingface.co/reaperdoesntknow/LFM2.5-8B-A1B-Opus-Distil

LFM2.5 8B A1B Opus Distil Parameters and Internals

LLM Name	LFM2.5 8B A1B Opus Distil
Repository 🤗	https://huggingface.co/reaperdoesntknow/LFM2.5-8B-A1B-Opus-Distil
Base Model(s)	LiquidAI/LFM2.5-8B-A1B LiquidAI/LFM2.5-8B-A1B
Model Size	8b
Required VRAM	16.9 GB
Updated	2026-07-15
Maintainer	reaperdoesntknow
Model Type	lfm2_moe
Instruction-Based	Yes
Model Files	16.9 GB
Supported Languages	en
Model Architecture	Lfm2MoeForCausalLM
License	apache-2.0
Context Length	128000
Model Max Length	128000
Transformers Version	5.0.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|im_end\|>
Vocabulary Size	128000

Rank the LFM2.5 8B A1B Opus Distil 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

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Supertron2.1 8B A1B	125K / 17 GB	96	6
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