MultiMash10 13B Slerp by allknowingroger

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  Merged Model   Autotrain compatible Base model:mixtao/mixtao-7bx2-... Base model:rubiellabarta/logos...   Endpoints compatible   Mixtral   Model-index   Moe   Region:us Rubiellabarta/logos-7bx2-moe-1...   Safetensors   Sharded   Tensorflow   Zhengr/mixtao-7bx2-moe-v8.1

MultiMash10 13B Slerp Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MultiMash10 13B Slerp Parameters and Internals

LLM NameMultiMash10 13B Slerp
Repository ๐Ÿค—https://huggingface.co/allknowingroger/MultiMash10-13B-slerp 
Base Model(s)  zhengr/MixTAO-7Bx2-MoE-v8.1   RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2   zhengr/MixTAO-7Bx2-MoE-v8.1   RubielLabarta/LogoS-7Bx2-MoE-13B-v0.2
Merged ModelYes
Model Size12.9b
Required VRAM25.7 GB
Updated2024-10-18
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
MultiMash10 13B Slerp (allknowingroger/MultiMash10-13B-slerp)

Best Alternatives to MultiMash10 13B Slerp

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MixTAO 7Bx2 MoE V8.132K / 25.8 GB769553
MixTAO 7Bx2 MoE V8.132K / 25.8 GB876052
LogoS 7Bx2 MoE 13B V0.232K / 25.9 GB409110
MultiMash8 13B Slerp32K / 25.7 GB70
MultiMash11 13B Slerp32K / 25.7 GB100
MultiMash9 13B Slerp32K / 25.7 GB100
MixTaoTruthful 13B Slerp32K / 25.7 GB70
MultiMash6 12B Slerp32K / 25.7 GB150
Multimash3 12B Slerp32K / 25.7 GB50
MultiMash 12B Slerp32K / 25.7 GB60
Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/MultiMash10-13B-slerp.

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