What are the hardware requirements for MFANN Phigments Slerp 3B?

MFANN Phigments Slerp 3B requires approximately 5.6 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MFANN Phigments Slerp 3B and how large is it?

MFANN Phigments Slerp 3B is developed by netcat420, 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 MFANN Phigments Slerp 3B?

MFANN Phigments Slerp 3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MFANN Phigments Slerp 3B by netcat420 — VRAM 5.6GB, 2K context

Name: MFANN Phigments Slerp 3B
Author: netcat420

MFANN Phigments Slerp 3B is an open-source language model by netcat420. Features: 3b LLM, VRAM: 5.6GB, Context: 2K, Merged, LLM Explorer Score: 0.17.

Merged Model Base model:liminerity/phigment... Base model:netcat420/mfann3bv1... Endpoints compatible Phi Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/netcat420/MFANN-phigments-slerp-3b

MFANN Phigments Slerp 3B Parameters and Internals

LLM Name	MFANN Phigments Slerp 3B
Repository 🤗	https://huggingface.co/netcat420/MFANN-phigments-slerp-3b
Base Model(s)	Phigments12 netcat420/MFANN3bv1.5 liminerity/Phigments12 netcat420/MFANN3bv1.5
Merged Model	Yes
Model Size	3b
Required VRAM	5.6 GB
Updated	2026-07-13
Maintainer	netcat420
Model Type	phi
Model Files	5.0 GB: 1-of-2 0.6 GB: 2-of-2
Model Architecture	PhiForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.49.0
Tokenizer Class	CodeGenTokenizer
Vocabulary Size	51200
Torch Data Type	float16

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Instruction Following and Task Automation
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Text Generation
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