LLM EXPLORER 59,420 MODELS INDEXED

FusionNet 7Bx2 MoE 14B 6.0bpw H6 EXL2 by LoneStriker

By LoneStriker · 6 downloads

FusionNet 7Bx2 MoE 14B 6.0bpw H6 EXL2 is an open-source language model by LoneStriker. Features: 14b LLM, VRAM: 9.8GB, Context: 32K, License: mit, MoE, Quantized, LLM Explorer Score: 0.1.

  En   Endpoints compatible   Exl2   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

FusionNet 7Bx2 MoE 14B 6.0bpw 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 NameFusionNet 7Bx2 MoE 14B 6.0bpw H6 EXL2
Repository πŸ€—https://huggingface.co/LoneStriker/FusionNet_7Bx2_MoE_14B-6.0bpw-h6-exl2 
Model Size14b
Required VRAM9.8 GB
Updated2026-08-06
MaintainerLoneStriker
Model Typemixtral
Model Files  8.6 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to FusionNet 7Bx2 MoE 14B 6.0bpw H6 EXL2

Best Alternatives
Context / RAM
Downloads
Likes
...et 7Bx2 MoE 14B 4.0bpw H6 EXL232K / 6.7 GB31
LHK DPO V1 GGUF32K / 6.2 GB995
LHK DPO V132K / 7.8 GB270
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/FusionNet_7Bx2_MoE_14B-6.0bpw-h6-exl2.