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TomGrc FusionNet 34Bx2 MoE V0.1 DPO F16 by cloudyu

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TomGrc FusionNet 34Bx2 MoE V0.1 DPO F16 is an open-source language model by cloudyu. Features: 60.8b LLM, VRAM: 121.8GB, Context: 195K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.15, Arc: 74.1, HellaSwag: 86.7, MMLU: 76.7, GSM8K: 74.5.

  Conversational   Endpoints compatible   Fp16   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Yi
Model Card on HF 🤗: https://huggingface.co/cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16 

TomGrc FusionNet 34Bx2 MoE V0.1 DPO F16 Benchmarks

ARC: 74.06 vs 96.7 (so35)-23.4%
HellaSwag: 86.74 vs 95.3 (gpt4)-9%
MMLU: 76.65 vs 88.3 (so35)-13.2%
GSM8K: 74.45 vs 96.4 (so35)-22.8%
LLME Score: 0.15002
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TomGrc FusionNet 34Bx2 MoE V0.1 DPO F16 (cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16)
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TomGrc FusionNet 34Bx2 MoE V0.1 DPO F16 Parameters and Internals

Model Type 
MoE, language model
LLM NameTomGrc FusionNet 34Bx2 MoE V0.1 DPO F16
Repository 🤗https://huggingface.co/cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16 
Model Size60.8b
Required VRAM121.8 GB
Updated2026-05-01
Maintainercloudyu
Model Typemixtral
Model Files  4.9 GB: 1-of-25   4.8 GB: 2-of-25   4.9 GB: 3-of-25   4.8 GB: 4-of-25   4.9 GB: 5-of-25   4.8 GB: 6-of-25   4.9 GB: 7-of-25   5.0 GB: 8-of-25   5.0 GB: 9-of-25   5.0 GB: 10-of-25   5.0 GB: 11-of-25   5.0 GB: 12-of-25   5.0 GB: 13-of-25   5.0 GB: 14-of-25   5.0 GB: 15-of-25   5.0 GB: 16-of-25   5.0 GB: 17-of-25   5.0 GB: 18-of-25   5.0 GB: 19-of-25   5.0 GB: 20-of-25   5.0 GB: 21-of-25   5.0 GB: 22-of-25   5.0 GB: 23-of-25   5.0 GB: 24-of-25   2.8 GB: 25-of-25
Quantization Typefp16
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16.

Rank the TomGrc FusionNet 34Bx2 MoE V0.1 DPO F16 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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