What are the hardware requirements for MFANN Phigments Slerp V3.2?

MFANN Phigments Slerp V3.2 requires approximately 5.6 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 MFANN Phigments Slerp V3.2 and how large is it?

MFANN Phigments Slerp V3.2 is developed by netcat420, a model with 2.8b 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 MFANN Phigments Slerp V3.2?

MFANN Phigments Slerp V3.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MFANN Phigments Slerp V3.2 by netcat420 — VRAM 5.6GB, 128K context

Name: MFANN Phigments Slerp V3.2
Author: netcat420

MFANN Phigments Slerp V3.2 is an open-source language model by netcat420. Features: 2.8b LLM, VRAM: 5.6GB, Context: 128K, Merged, LLM Explorer Score: 0.21.

Merged Model Arxiv:2306.01708 Base model:liminerity/phigment... Base model:netcat420/mfann-phi... Base model:netcat420/mfann-phi... Endpoints compatible Phi Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/netcat420/MFANN-phigments-slerp-V3.2

MFANN Phigments Slerp V3.2 Parameters and Internals

LLM Name	MFANN Phigments Slerp V3.2
Repository 🤗	https://huggingface.co/netcat420/MFANN-phigments-slerp-V3.2
Base Model(s)	MFANN Phigments Slerp 1B Phigments12 MFANN Phigments12 Slerp netcat420/MFANN-phigments-slerp-1b liminerity/Phigments12 netcat420/MFANN-Phigments12-slerp
Merged Model	Yes
Model Size	2.8b
Required VRAM	5.6 GB
Updated	2026-07-09
Maintainer	netcat420
Model Type	phi
Model Files	5.0 GB: 1-of-2 0.6 GB: 2-of-2
Model Architecture	PhiForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.2
Tokenizer Class	CodeGenTokenizer
Vocabulary Size	51200
Torch Data Type	float16

Rank the MFANN Phigments Slerp V3.2 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 MFANN Phigments Slerp V3.2

Best Alternatives	Context / RAM	Downloads
MFANN3bv0.24	128K / 11.1 GB	6
MFANN3b	128K / 11.1 GB	86
MFANN3bv1.4	128K / 11.1 GB	8
MFANN3bv1.3	128K / 11.1 GB	14
MFANN3bv0.23	128K / 11.1 GB	10
MFANN3bv1.1	128K / 11.1 GB	10
MFANN3bv1.5	128K / 11.1 GB	8
MFANN Liminerity Slerp 4a	128K / 5.6 GB	7
MFANN3b Rebase	128K / 11.1 GB	7
MFANN3b SFT	128K / 5.6 GB	5

Note: green Score (e.g. "73.2") means that the model is better than netcat420/MFANN-phigments-slerp-V3.2.