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Multimash3 12B Slerp by allknowingroger

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  Merged Model   Autotrain compatible Base model:allknowingroger/mul... Base model:tomgrc/fusionnet 7b...   Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow   Tomgrc/fusionnet 7bx2 moe v0.1

Multimash3 12B Slerp Benchmarks

MMLU Pro: 22.97
GPQA: 4.03
MUSR: 13.03
BBH: 32.15
IFEval: 44.37 vs 88 (so35)-49.6%
MATH Lvl 5: 5.74
LLME Score: 0.28635
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Multimash3 12B Slerp Parameters and Internals

LLM NameMultimash3 12B Slerp
Repository 🤗https://huggingface.co/allknowingroger/Multimash3-12B-slerp 
Base Model(s)  Multimerge 12B MoE   TomGrc/FusionNet_7Bx2_MoE_v0.1   allknowingroger/Multimerge-12B-MoE   TomGrc/FusionNet_7Bx2_MoE_v0.1
Merged ModelYes
Model Size12.9b
Required VRAM25.7 GB
Updated2024-09-16
Maintainerallknowingroger
Model Typemixtral
Model Files  1.0 GB: 1-of-28   0.9 GB: 2-of-28   1.0 GB: 3-of-28   0.9 GB: 4-of-28   0.9 GB: 5-of-28   0.9 GB: 6-of-28   0.9 GB: 7-of-28   0.9 GB: 8-of-28   1.0 GB: 9-of-28   0.9 GB: 10-of-28   0.9 GB: 11-of-28   0.9 GB: 12-of-28   0.9 GB: 13-of-28   0.9 GB: 14-of-28   1.0 GB: 15-of-28   0.9 GB: 16-of-28   0.9 GB: 17-of-28   0.9 GB: 18-of-28   0.9 GB: 19-of-28   0.9 GB: 20-of-28   1.0 GB: 21-of-28   0.9 GB: 22-of-28   0.9 GB: 23-of-28   0.9 GB: 24-of-28   0.9 GB: 25-of-28   0.9 GB: 26-of-28   1.0 GB: 27-of-28   0.8 GB: 28-of-28
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16
Multimash3 12B Slerp (allknowingroger/Multimash3-12B-slerp)

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Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/Multimash3-12B-slerp.

Rank the Multimash3 12B Slerp Capabilities

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Release v2024072803
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