TomGrc FusionNet 34Bx2 MoE V0.1 Full Linear DPO by cloudyu

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TomGrc FusionNet 34Bx2 MoE V0.1 Full Linear DPO Benchmarks

TomGrc FusionNet 34Bx2 MoE V0.1 Full Linear DPO (cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_full_linear_DPO)

TomGrc FusionNet 34Bx2 MoE V0.1 Full Linear DPO Parameters and Internals

Model Type 
Mixture of Experts (MoE)
Additional Notes 
Metrics not tested
Training Details 
Methodology:
Fine-tuned using Direct Preference Optimization
Training Time:
1 hour
Hardware Used:
H100 GPU
Model Architecture:
All-linear-parameter fine-tuned MoE
LLM NameTomGrc FusionNet 34Bx2 MoE V0.1 Full Linear DPO
Repository ๐Ÿค—https://huggingface.co/cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_full_linear_DPO 
Model Size60.8b
Required VRAM121.8 GB
Updated2025-02-05
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
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_full_linear_DPO.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227