What are the hardware requirements for MFANN Liminerity Slerp 4a?

MFANN Liminerity Slerp 4a 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 Liminerity Slerp 4a and how large is it?

MFANN Liminerity Slerp 4a 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 Liminerity Slerp 4a?

MFANN Liminerity Slerp 4a is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MFANN Liminerity Slerp 4a by netcat420 — VRAM 5.6GB, 128K context

Name: MFANN Liminerity Slerp 4a
Author: netcat420

MFANN Liminerity Slerp 4a is an open-source language model by netcat420. Features: 2.8b LLM, VRAM: 5.6GB, Context: 128K, Merged, LLM Explorer Score: 0.15.

Merged Model Base model:liminerity/phigment... Base model:netcat420/mfann3bv0... Endpoints compatible Phi Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/netcat420/MFANN-liminerity-slerp-4a

MFANN Liminerity Slerp 4a Parameters and Internals

LLM Name	MFANN Liminerity Slerp 4a
Repository 🤗	https://huggingface.co/netcat420/MFANN-liminerity-slerp-4a
Base Model(s)	netcat420/MFANN3bv0.24 Phigments12 netcat420/MFANN3bv0.24 liminerity/Phigments12
Merged Model	Yes
Model Size	2.8b
Required VRAM	5.6 GB
Updated	2026-05-01
Maintainer	netcat420
Model Type	phi
Model Files	1.0 GB: 1-of-6 1.0 GB: 2-of-6 1.0 GB: 3-of-6 1.0 GB: 4-of-6 1.0 GB: 5-of-6 0.6 GB: 6-of-6
Model Architecture	PhiForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.0
Tokenizer Class	CodeGenTokenizer
Vocabulary Size	51200
Torch Data Type	float16

Rank the MFANN Liminerity Slerp 4a 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 MFANN Liminerity Slerp 4a

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
MFANN Phigments Slerp V3.2	128K / 5.6 GB	6
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
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-liminerity-slerp-4a.