What are the hardware requirements for ILAB Merging 3B V2?

ILAB Merging 3B V2 requires approximately 23.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ILAB Merging 3B V2 and how large is it?

ILAB Merging 3B V2 is developed by ECE-ILAB-PRYMMAL, a model with 3b 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 ILAB Merging 3B V2?

ILAB Merging 3B V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ILAB Merging 3B V2 by ECE-ILAB-PRYMMAL — VRAM 23.1GB, 128K context

Name: ILAB Merging 3B V2
Author: ECE-ILAB-PRYMMAL

ILAB Merging 3B V2 is an open-source language model by ECE-ILAB-PRYMMAL. Features: 3b LLM, VRAM: 23.1GB, Context: 128K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.24.

Merged Model Base model:meditsolutions/medi... Base model:microsoft/phi-3.5-m... Conversational Custom code Endpoints compatible Instruct Phi3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ECE-ILAB-PRYMMAL/ILAB-Merging-3B-V2

ILAB Merging 3B V2 Parameters and Internals

LLM Name	ILAB Merging 3B V2
Repository 🤗	https://huggingface.co/ECE-ILAB-PRYMMAL/ILAB-Merging-3B-V2
Base Model(s)	microsoft/Phi-3.5-mini-instruct MedIT Mesh 3B Instruct microsoft/Phi-3.5-mini-instruct meditsolutions/MedIT-Mesh-3B-Instruct
Merged Model	Yes
Model Size	3b
Required VRAM	23.1 GB
Updated	2026-08-06
Maintainer	ECE-ILAB-PRYMMAL
Model Type	phi3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 5.0 GB: 1-of-4 2.7 GB: 2-of-2 5.0 GB: 2-of-4 5.0 GB: 3-of-4 0.4 GB: 4-of-4
Model Architecture	Phi3ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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