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WestlakeMaziyar 7B Slerp by allknowingroger

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  Merged Model   Autotrain compatible Base model:macadeliccc/westlak... Base model:maziyarpanahi/theto...   Endpoints compatible   Instruct Macadeliccc/westlake-7b-v2-las... Maziyarpanahi/thetop-5x7b-inst...   Mistral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow

WestlakeMaziyar 7B Slerp Benchmarks

MMLU Pro: 23.08
GPQA: 7.16
MUSR: 14.49
BBH: 33.34
IFEval: 48.38 vs 88 (so35)-45%
ARC: 73.38 vs 96.7 (so35)-24.1%
HellaSwag: 88.71 vs 95.3 (gpt4)-6.9%
MMLU: 65.02 vs 88.3 (so35)-26.4%
TruthfulQA: 68.75 vs 59 (gpt4)16.5%
WinoGrande: 86.9 vs 87.5 (gpt4)-0.7%
GSM8K: 68.46 vs 96.4 (so35)-29%
MATH Lvl 5: 5.82
LLME Score: 0.29965
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

WestlakeMaziyar 7B Slerp Parameters and Internals

LLM NameWestlakeMaziyar 7B Slerp
Repository 🤗https://huggingface.co/allknowingroger/WestlakeMaziyar-7B-slerp 
Base Model(s)  ...estLake 7B V2 Laser Truthy DPO   MaziyarPanahi/TheTop-5x7B-Instruct-S5-v0.1   macadeliccc/WestLake-7B-v2-laser-truthy-dpo   MaziyarPanahi/TheTop-5x7B-Instruct-S5-v0.1
Merged ModelYes
Model Size7.2b
Required VRAM14.5 GB
Updated2024-09-07
Maintainerallknowingroger
Model Typemistral
Instruction-BasedYes
Model Files  1.0 GB: 1-of-15   1.0 GB: 2-of-15   1.0 GB: 3-of-15   1.0 GB: 4-of-15   0.9 GB: 5-of-15   1.0 GB: 6-of-15   1.0 GB: 7-of-15   1.0 GB: 8-of-15   0.9 GB: 9-of-15   1.0 GB: 10-of-15   1.0 GB: 11-of-15   1.0 GB: 12-of-15   0.9 GB: 13-of-15   1.0 GB: 14-of-15   0.8 GB: 15-of-15
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
WestlakeMaziyar 7B Slerp (allknowingroger/WestlakeMaziyar-7B-slerp)

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Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/WestlakeMaziyar-7B-slerp.

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Release v2024072803
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