What are the hardware requirements for MHENN4 GGUF?

MHENN4 GGUF requires approximately 4.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MHENN4 GGUF and how large is it?

MHENN4 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 MHENN4 GGUF?

MHENN4 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MHENN4 GGUF by netcat420 — VRAM 4.4GB, 32K context

Name: MHENN4 GGUF
Author: netcat420

MHENN4 GGUF is an open-source language model by netcat420. Features: LLM, VRAM: 4.4GB, Context: 32K, License: mit, Quantized, LLM Explorer Score: 0.1.

Adapter-transformers Dataset:netcat420/mhenn4 Endpoints compatible Gguf Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/netcat420/MHENN4-GGUF

MHENN4 GGUF Parameters and Internals

LLM Name	MHENN4 GGUF
Repository 🤗	https://huggingface.co/netcat420/MHENN4-GGUF
Required VRAM	4.4 GB
Updated	2026-07-28
Maintainer	netcat420
Model Type	mistral
Model Files	4.4 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	MistralForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the MHENN4 GGUF 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 MHENN4 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...istral Nemo Instruct 2407 GGUF	1000K / 4.8 GB	1139	66
...istral Nemo Instruct 2407 GGUF	1000K / 4.8 GB	1293	11
Devstral Small 2505 GGUF	128K / 0.9 GB	2866	117
...dle Snorkel Mistral PairRM DPO	32K / 14.4 GB	181	0
...istral C64Wizard Instruct GGUF	32K / 4.4 GB	19	0
Candle MistralTrix V1	32K / 17.9 GB	420	0
Mistral 7B1.0 GGUF	32K / 5.1 GB	9	0
Equall Saul Instruct V1	32K / 5.1 GB	30	0
AI G Expander V5 GGUF	32K / 4.4 GB	11	0
Candle Tiny Mistral	32K / 0.4 GB	279	0

Note: green Score (e.g. "73.2") means that the model is better than netcat420/MHENN4-GGUF.