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WestOrcaNeuralMarco DPO V2 DARETIES 7B by jsfs11

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  Merged Model   Autotrain compatible Base model:decruz07/kellemar-d... Base model:mlabonne/neuralmarc... Decruz07/kellemar-dpo-orca-dis...   Endpoints compatible   Mistral   Mlabonne/neuralmarcoro14-7b   Model-index   Region:us   Safetensors   Senseable/westlake-7b-v2   Sharded   Tensorflow

WestOrcaNeuralMarco DPO V2 DARETIES 7B Benchmarks

ARC: 71.93 vs 96.7 (so35)-25.6%
HellaSwag: 88.06 vs 95.3 (gpt4)-7.6%
MMLU: 64.99 vs 88.3 (so35)-26.4%
TruthfulQA: 65.96 vs 59 (gpt4)11.8%
WinoGrande: 82.79 vs 87.5 (gpt4)-5.4%
GSM8K: 70.13 vs 96.4 (so35)-27.3%
LLME Score: 0.19172
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

WestOrcaNeuralMarco DPO V2 DARETIES 7B Parameters and Internals

LLM NameWestOrcaNeuralMarco DPO V2 DARETIES 7B
Repository 🤗https://huggingface.co/jsfs11/WestOrcaNeuralMarco-DPO-v2-DARETIES-7B 
Base Model(s)  senseable/Westlake-7B-v2   ...ar DPO Orca Distilled 7B SLERP   NeuralMarcoro14 7B   senseable/Westlake-7B-v2   decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP   mlabonne/NeuralMarcoro14-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-10-08
Maintainerjsfs11
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
WestOrcaNeuralMarco DPO V2 DARETIES 7B (jsfs11/WestOrcaNeuralMarco-DPO-v2-DARETIES-7B)

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Note: green Score (e.g. "73.2") means that the model is better than jsfs11/WestOrcaNeuralMarco-DPO-v2-DARETIES-7B.

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Release v2024072803
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