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WestLake 10.7B V2 EXL2 8.0 by StopTryharding

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  Merged Model   8-bit   Autotrain compatible Base model:quantized:senseable... Base model:senseable/westlake-...   En   Endpoints compatible   Exl2   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow

WestLake 10.7B V2 EXL2 8.0 Benchmarks

LLME Score: 0.20038
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

WestLake 10.7B V2 EXL2 8.0 Parameters and Internals

LLM NameWestLake 10.7B V2 EXL2 8.0
Repository 🤗https://huggingface.co/StopTryharding/WestLake-10.7B-v2-exl2-8.0 
Base Model(s)  WestLake 7B V2   senseable/WestLake-7B-v2
Merged ModelYes
Model Size7b
Required VRAM10.8 GB
Updated2024-09-16
MaintainerStopTryharding
Model Typemistral
Model Files  8.6 GB: 1-of-2   2.2 GB: 2-of-2
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
WestLake 10.7B V2 EXL2 8.0 (StopTryharding/WestLake-10.7B-v2-exl2-8.0)

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Note: green Score (e.g. "73.2") means that the model is better than StopTryharding/WestLake-10.7B-v2-exl2-8.0.

Rank the WestLake 10.7B V2 EXL2 8.0 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Release v2024072803
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