What are the hardware requirements for LFM2.5 1.2B SFT Claude Opus Reasoning Unsloth?

LFM2.5 1.2B SFT Claude Opus Reasoning Unsloth requires approximately 2.3 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 1.2B SFT Claude Opus Reasoning Unsloth and how large is it?

LFM2.5 1.2B SFT Claude Opus Reasoning Unsloth is developed by ermiaazarkhalili, a model with 1.2b 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 1.2B SFT Claude Opus Reasoning Unsloth?

LFM2.5 1.2B SFT Claude Opus Reasoning Unsloth is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LFM2.5 1.2B SFT Claude Opus Reasoning Unsloth by ermiaazarkhalili — VRAM 2.3GB, 125K context

Name: LFM2.5 1.2B SFT Claude Opus Reasoning Unsloth
Author: ermiaazarkhalili

LFM2.5 1.2B SFT Claude Opus Reasoning Unsloth is an open-source language model by ermiaazarkhalili. Features: 1.2b LLM, VRAM: 2.3GB, Context: 125K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.25.

Base model:adapter:liquidai/lf... Base model:liquidai/lfm2.5-1.2... Conversational Endpoints compatible Finetuned Instruct Lfm2 Lora Peft Reasoning Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/ermiaazarkhalili/LFM2.5-1.2B-SFT-Claude-Opus-Reasoning-Unsloth

LFM2.5 1.2B SFT Claude Opus Reasoning Unsloth Parameters and Internals

LLM Name	LFM2.5 1.2B SFT Claude Opus Reasoning Unsloth
Repository 🤗	https://huggingface.co/ermiaazarkhalili/LFM2.5-1.2B-SFT-Claude-Opus-Reasoning-Unsloth
Model Name	LiquidAI/LFM2.5-1.2B-Instruct
Base Model(s)	LiquidAI/LFM2.5-1.2B-Instruct LiquidAI/LFM2.5-1.2B-Instruct
Model Size	1.2b
Required VRAM	2.3 GB
Updated	2026-08-07
Maintainer	ermiaazarkhalili
Model Type	lfm2
Instruction-Based	Yes
Model Files	2.3 GB
Supported Languages	en
Model Architecture	Lfm2ForCausalLM
License	apache-2.0
Context Length	128000
Model Max Length	128000
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	65536
Torch Data Type	bfloat16

Rank the LFM2.5 1.2B SFT Claude Opus Reasoning Unsloth 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 1.2B SFT Claude Opus Reasoning Unsloth

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 1.2B Instruct	125K / 2.3 GB	575331	647
LFM2.5 1.2B Instruct	125K / 2.3 GB	22673	8
Lfm2.5 1.2B Noval Agentic	125K / 2.3 GB	84	0
Lfm2.5 1.2B Asterion Agentic	125K / 2.3 GB	53	0
...B SFT Claude Reasoning Unsloth	125K / 2.3 GB	492	0
...1.2B Noval Instruct Paramdelta	125K / 2.3 GB	43	0
LFM2.5 1.2B Instruct ONNX	125K / GB	1348	35
... Function Calling XLAM Unsloth	125K / 2.3 GB	5	0
LFM2.5 1.2B Instruct Korean	125K / 2.3 GB	63	1
LFM2.5 1.2B Instruct MLX Bf16	125K / 2.3 GB	219	13

Note: green Score (e.g. "73.2") means that the model is better than ermiaazarkhalili/LFM2.5-1.2B-SFT-Claude-Opus-Reasoning-Unsloth.