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TomGrc FusionNet 34Bx2 MoE V0.1 DPO F16 5.0bpw H6 EXL2 by LoneStriker

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Model Card on HF 🤗: https://huggingface.co/LoneStriker/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16-5.0bpw-h6-exl2 

TomGrc FusionNet 34Bx2 MoE V0.1 DPO F16 5.0bpw H6 EXL2 Benchmarks

LLME Score: 0.13748
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 5.0bpw H6 EXL2 (LoneStriker/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16-5.0bpw-h6-exl2)
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TomGrc FusionNet 34Bx2 MoE V0.1 DPO F16 5.0bpw H6 EXL2 Parameters and Internals

Model Type 
multimodal
Training Details 
Methodology:
DPO Trainer TRL supports the DPO Trainer for training language models from preference data, as described in the paper Direct Preference Optimization by Rafailov et al., 2023.
LLM NameTomGrc FusionNet 34Bx2 MoE V0.1 DPO F16 5.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16-5.0bpw-h6-exl2 
Required VRAM38.8 GB
Updated2025-09-23
MaintainerLoneStriker
Model Typemixtral
Model Files  8.6 GB: 1-of-5   8.6 GB: 2-of-5   8.6 GB: 3-of-5   8.5 GB: 4-of-5   4.5 GB: 5-of-5
Quantization Typefp16|exl2
Model ArchitectureMixtralForCausalLM
Licenseother
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 LoneStriker/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16-5.0bpw-h6-exl2.

Rank the TomGrc FusionNet 34Bx2 MoE V0.1 DPO F16 5.0bpw H6 EXL2 Capabilities

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Instruction Following and Task Automation  
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Release v20241124
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