WestLake 10.7B V2 GGUF by froggeric

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  Merged Model   Autotrain compatible Base model:quantized:senseable... Base model:senseable/westlake-...   En   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:us

WestLake 10.7B V2 GGUF Benchmarks

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 GGUF Parameters and Internals

LLM NameWestLake 10.7B V2 GGUF
Repository ๐Ÿค—https://huggingface.co/froggeric/WestLake-10.7B-v2-GGUF 
Base Model(s)  WestLake 7B V2   senseable/WestLake-7B-v2
Merged ModelYes
Model Size7b
Required VRAM6.1 GB
Updated2024-09-16
Maintainerfroggeric
Model Typemistral
Model Files  6.1 GB   7.4 GB   8.8 GB   11.4 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q4
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Vocabulary Size32000
Torch Data Typefloat16
WestLake 10.7B V2 GGUF (froggeric/WestLake-10.7B-v2-GGUF)

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