What are the hardware requirements for MFANNv0.6 GGUF?

MFANNv0.6 GGUF requires approximately 4.7 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MFANNv0.6 GGUF and how large is it?

MFANNv0.6 GGUF is developed by netcat420. 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 MFANNv0.6 GGUF?

MFANNv0.6 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MFANNv0.6 GGUF by netcat420 — VRAM 4.7GB, 8K context

Name: MFANNv0.6 GGUF
Author: netcat420

MFANNv0.6 GGUF is an open-source language model by netcat420. Features: LLM, VRAM: 4.7GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

Adapter-transformers Conversational Dataset:netcat420/mfann Endpoints compatible Gguf Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/netcat420/MFANNv0.6-GGUF

MFANNv0.6 GGUF Parameters and Internals

Model Type

text-classification

LLM Name	MFANNv0.6 GGUF
Repository 🤗	https://huggingface.co/netcat420/MFANNv0.6-GGUF
Required VRAM	4.7 GB
Updated	2026-06-07
Maintainer	netcat420
Model Type	llama
Model Files	4.7 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0.dev0
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the MFANNv0.6 GGUF 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 MFANNv0.6 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
KernelLLM GGUF	128K / 2.2 GB	454	2
LLAMA2 GOOD GGUF	16K / 4.8 GB	15	0
Codellama Cairo Instruct GGUF	16K / 4.1 GB	32	1
Aware Ai 1st	8K / 16.1 GB	30	0
...LaMA3 Iterative DPO Final GGUF	8K / 16.1 GB	13	1
UlizaLlama Q4 K M Gguf	4K / 4.2 GB	76	0
Tinyllama Coder Py V15	4K / 0.7 GB	98	0
Tinyllama Coder Py V16	4K / 0.7 GB	12	0
Cancer Llama.5 Llm	4K / 4.1 GB	25	0
Airavata GGUF	4K / 4.2 GB	43	2

Note: green Score (e.g. "73.2") means that the model is better than netcat420/MFANNv0.6-GGUF.