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4bit Quant TomGrc FusionNet 34Bx2 MoE V0.1 DPO by cloudyu

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Model Card on HF 🤗: https://huggingface.co/cloudyu/4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO 

4bit Quant TomGrc FusionNet 34Bx2 MoE V0.1 DPO Benchmarks

ARC: 73.21 vs 96.7 (so35)-24.3%
HellaSwag: 86.11 vs 95.3 (gpt4)-9.6%
MMLU: 75.44 vs 88.3 (so35)-14.6%
TruthfulQA: 72.78 vs 59 (gpt4)23.4%
WinoGrande: 82.95 vs 87.5 (gpt4)-5.2%
GSM8K: 71.19 vs 96.4 (so35)-26.2%
LLME Score: 0.16703
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
4bit Quant TomGrc FusionNet 34Bx2 MoE V0.1 DPO (cloudyu/4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO)

4bit Quant TomGrc FusionNet 34Bx2 MoE V0.1 DPO Parameters and Internals

Model Type 
language model
Training Details 
Methodology:
Uses TRL's DPO Trainer: Direct Preference Optimization
Model Architecture:
MoE (Mixture of Experts)
LLM Name4bit Quant TomGrc FusionNet 34Bx2 MoE V0.1 DPO
Repository 🤗https://huggingface.co/cloudyu/4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO 
Model Size31.8b
Required VRAM35.6 GB
Updated2025-02-22
Maintainercloudyu
Model Typemixtral
Model Files  5.0 GB: 1-of-8   5.0 GB: 2-of-8   5.0 GB: 3-of-8   5.0 GB: 4-of-8   5.0 GB: 5-of-8   5.0 GB: 6-of-8   4.7 GB: 7-of-8   0.9 GB: 8-of-8
Quantization Type4bit
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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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