LLM EXPLORER 59,420 MODELS INDEXED

FusionNet 7Bx2 MoE 14B by TomGrc

By TomGrc · 76 downloads

FusionNet 7Bx2 MoE 14B is an open-source language model by TomGrc. Features: 12.9b LLM, VRAM: 25.8GB, Context: 32K, License: mit, MoE, LLM Explorer Score: 0.11, Arc: 73.6, HellaSwag: 88.8, MMLU: 64.7, GSM8K: 70.7.

  En   Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow

FusionNet 7Bx2 MoE 14B Parameters and Internals

Model Type 
text-generation
LLM NameFusionNet 7Bx2 MoE 14B
Repository πŸ€—https://huggingface.co/TomGrc/FusionNet_7Bx2_MoE_14B 
Model Size12.9b
Required VRAM25.8 GB
Updated2026-07-13
MaintainerTomGrc
Model Typemixtral
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   5.9 GB: 3-of-3
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the FusionNet 7Bx2 MoE 14B

Model
Likes
Downloads
VRAM
LHK DPO V10277 GB

Best Alternatives to FusionNet 7Bx2 MoE 14B

Best Alternatives
Context / RAM
Downloads
Likes
MixTAO 7Bx2 MoE V8.132K / 25.8 GB1538156
Inf Silent Kunoichi V0.1 2x7B32K / 25.6 GB80
Inf Silent Kunoichi V0.2 2x7B32K / 25.6 GB91
LogoS 7Bx2 MoE 13B V0.232K / 25.9 GB797810
MixTAO 7Bx2 MoE V8.132K / 25.8 GB876052
MultiMash8 13B Slerp32K / 25.7 GB50
MultiMash11 13B Slerp32K / 25.7 GB90
MultiMash9 13B Slerp32K / 25.7 GB50
MultiMash10 13B Slerp32K / 25.7 GB80
Multimash3 12B Slerp32K / 25.7 GB80
Note: green Score (e.g. "73.2") means that the model is better than TomGrc/FusionNet_7Bx2_MoE_14B.