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MultiMash9 13B Slerp by allknowingroger

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  Merged Model   Autotrain compatible Base model:allknowingroger/cal... Base model:mixtao/mixtao-7bx2-...   Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow   Zhengr/mixtao-7bx2-moe-v8.1
Model Card on HF 🤗: https://huggingface.co/allknowingroger/MultiMash9-13B-slerp 

MultiMash9 13B Slerp Benchmarks

MMLU Pro: 23.33
GPQA: 4.03
MUSR: 14.21
BBH: 32.55
IFEval: 41.88 vs 88 (so35)-52.4%
MATH Lvl 5: 7.85
LLME Score: 0.25284
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MultiMash9 13B Slerp (allknowingroger/MultiMash9-13B-slerp)

MultiMash9 13B Slerp Parameters and Internals

Model Type 
text-generation
Additional Notes 
MultiMash9-13B-slerp is a merge of zhengr/MixTAO-7Bx2-MoE-v8.1 and allknowingroger/Calmex26merge-12B-MoE using LazyMergekit.
LLM NameMultiMash9 13B Slerp
Repository 🤗https://huggingface.co/allknowingroger/MultiMash9-13B-slerp 
Base Model(s)  zhengr/MixTAO-7Bx2-MoE-v8.1   Calmex26merge 12B MoE   zhengr/MixTAO-7Bx2-MoE-v8.1   allknowingroger/Calmex26merge-12B-MoE
Merged ModelYes
Model Size12.9b
Required VRAM25.7 GB
Updated2025-01-22
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 Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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MultiMash8 13B Slerp32K / 25.7 GB270
MultiMash11 13B Slerp32K / 25.7 GB190
MultiMash10 13B Slerp32K / 25.7 GB200
Multimash3 12B Slerp32K / 25.7 GB250
MixTaoTruthful 13B Slerp32K / 25.7 GB180
Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/MultiMash9-13B-slerp.

Rank the MultiMash9 13B Slerp Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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