What are the hardware requirements for FusionNet 7Bx2 MoE 14B 4.0bpw H6 EXL2?

FusionNet 7Bx2 MoE 14B 4.0bpw H6 EXL2 requires approximately 6.7 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 FusionNet 7Bx2 MoE 14B 4.0bpw H6 EXL2 and how large is it?

FusionNet 7Bx2 MoE 14B 4.0bpw H6 EXL2 is developed by LoneStriker, a model with 14b 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 FusionNet 7Bx2 MoE 14B 4.0bpw H6 EXL2?

FusionNet 7Bx2 MoE 14B 4.0bpw H6 EXL2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

FusionNet 7Bx2 MoE 14B 4.0bpw H6 EXL2 by LoneStriker — VRAM 6.7GB, 32K context

Name: FusionNet 7Bx2 MoE 14B 4.0bpw H6 EXL2
Author: LoneStriker

FusionNet 7Bx2 MoE 14B 4.0bpw H6 EXL2 is an open-source language model by LoneStriker. Features: 14b LLM, VRAM: 6.7GB, Context: 32K, License: mit, MoE, Quantized, LLM Explorer Score: 0.1.

En Endpoints compatible Exl2 Mixtral Moe Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/LoneStriker/FusionNet_7Bx2_MoE_14B-4.0bpw-h6-exl2

FusionNet 7Bx2 MoE 14B 4.0bpw H6 EXL2 Parameters and Internals

Additional Notes

Fine-tuned model increases performance using the MoE method.

Supported Languages

en (fine-tuned)

Training Details

Methodology:

MoE method

LLM Name	FusionNet 7Bx2 MoE 14B 4.0bpw H6 EXL2
Repository 🤗	https://huggingface.co/LoneStriker/FusionNet_7Bx2_MoE_14B-4.0bpw-h6-exl2
Model Size	14b
Required VRAM	6.7 GB
Updated	2026-06-08
Maintainer	LoneStriker
Model Type	mixtral
Model Files	6.7 GB
Supported Languages	en
Quantization Type	exl2
Model Architecture	MixtralForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the FusionNet 7Bx2 MoE 14B 4.0bpw H6 EXL2 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 FusionNet 7Bx2 MoE 14B 4.0bpw H6 EXL2

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...et 7Bx2 MoE 14B 6.0bpw H6 EXL2	32K / 9.8 GB	6	2
LHK DPO V1 GGUF	32K / 6.2 GB	99	5
LHK DPO V1	32K / 7.8 GB	27	0

Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/FusionNet_7Bx2_MoE_14B-4.0bpw-h6-exl2.