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FusionNet 7Bx2 MoE 14B by TomGrc

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FusionNet 7Bx2 MoE 14B is an open-source language model by TomGrc. Features: 12.9b LLM, VRAM: 25.8GB, Context: 32K, License: mit, MoE, HF Score: 75.9, LLM Explorer Score: 0.13, Arc: 73.6, HellaSwag: 88.8, MMLU: 64.7, TruthfulQA: 69.6, WinoGrande: 88.2, GSM8K: 70.7.

  En   Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TomGrc/FusionNet_7Bx2_MoE_14B 

FusionNet 7Bx2 MoE 14B Benchmarks

ARC: 73.55 vs 96.7 (so35)-23.9%
HellaSwag: 88.84 vs 95.3 (gpt4)-6.8%
MMLU: 64.68 vs 88.3 (so35)-26.7%
TruthfulQA: 69.6 vs 59 (gpt4)18%
WinoGrande: 88.16 vs 87.5 (gpt4)0.8%
GSM8K: 70.66 vs 96.4 (so35)-26.7%
LLME Score: 0.13112
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FusionNet 7Bx2 MoE 14B (TomGrc/FusionNet_7Bx2_MoE_14B)
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FusionNet 7Bx2 MoE 14B Parameters and Internals

Model Type 
text-generation
LLM NameFusionNet 7Bx2 MoE 14B
Repository 🤗https://huggingface.co/TomGrc/FusionNet_7Bx2_MoE_14B 
Model Size12.9b
Required VRAM25.8 GB
Updated2026-03-05
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 V10347 GB

Best Alternatives to FusionNet 7Bx2 MoE 14B

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MixTAO 7Bx2 MoE V8.132K / 25.8 GB1929855
MixTAO 7Bx2 MoE V8.132K / 25.8 GB876052
Inf Silent Kunoichi V0.1 2x7B32K / 25.6 GB50
Inf Silent Kunoichi V0.2 2x7B32K / 25.6 GB101
LogoS 7Bx2 MoE 13B V0.232K / 25.9 GB769110
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.

Rank the FusionNet 7Bx2 MoE 14B 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  

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