TomGrc FusionNet 34Bx2 MoE V0.1 DPO F16 4.0bpw H6 EXL2 by LoneStriker

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TomGrc FusionNet 34Bx2 MoE V0.1 DPO F16 4.0bpw H6 EXL2 Benchmarks

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 4.0bpw H6 EXL2 Parameters and Internals

LLM NameTomGrc FusionNet 34Bx2 MoE V0.1 DPO F16 4.0bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16-4.0bpw-h6-exl2 
Required VRAM31.3 GB
Updated2024-09-07
MaintainerLoneStriker
Model Typemixtral
Model Files  8.6 GB: 1-of-4   8.6 GB: 2-of-4   8.6 GB: 3-of-4   5.5 GB: 4-of-4
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
TomGrc FusionNet 34Bx2 MoE V0.1 DPO F16 4.0bpw H6 EXL2 (LoneStriker/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16-4.0bpw-h6-exl2)

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...M 2 8x22B Beige 3.0bpw H6 EXL264K / 53.2 GB50
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...B Instruct V0.1 8.0bpw H8 EXL264K / 120.2 GB41
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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_f16-4.0bpw-h6-exl2.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803