What are the hardware requirements for MFANN Llama3.1 Abliterated SLERP TIES V3?

MFANN Llama3.1 Abliterated SLERP TIES V3 requires approximately 16.1 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 MFANN Llama3.1 Abliterated SLERP TIES V3 and how large is it?

MFANN Llama3.1 Abliterated SLERP TIES V3 is developed by netcat420, a model with 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 Llama3.1 Abliterated SLERP TIES V3?

MFANN Llama3.1 Abliterated SLERP TIES V3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MFANN Llama3.1 Abliterated SLERP TIES V3 by netcat420 — VRAM 16.1GB, 128K context

Name: MFANN Llama3.1 Abliterated SLERP TIES V3
Author: netcat420

MFANN Llama3.1 Abliterated SLERP TIES V3 is an open-source language model by netcat420. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.21.

Merged Model Arxiv:2306.01708 Base model:mlabonne/meta-llama... Base model:netcat420/mfann-lla... Base model:netcat420/mfann-lla... Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/netcat420/MFANN-Llama3.1-Abliterated-SLERP-TIES-V3

MFANN Llama3.1 Abliterated SLERP TIES V3 Parameters and Internals

LLM Name	MFANN Llama3.1 Abliterated SLERP TIES V3
Repository 🤗	https://huggingface.co/netcat420/MFANN-Llama3.1-Abliterated-SLERP-TIES-V3
Base Model(s)	netcat420/MFANN-Llama3.1-Abliterated-SLERP-V5 netcat420/MFANN-llama3.1-abliterated-v2 mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated netcat420/MFANN-Llama3.1-Abliterated-SLERP-V5 netcat420/MFANN-llama3.1-abliterated-v2 mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-06
Maintainer	netcat420
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the MFANN Llama3.1 Abliterated SLERP TIES V3 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 Llama3.1 Abliterated SLERP TIES V3

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than netcat420/MFANN-Llama3.1-Abliterated-SLERP-TIES-V3.