AI正在发生 未来正在更新WestLake-10.7B-v2-GGUF
*** - **Creator:** froggeric - **Original:** WestLake v.2 10.7B - **Date Created:** 3/11/2024 - **Trained Context:** 8192 tokens - **Description:** Self-merge of WestLake 7B. Excels at understanding nuances in language and producing creative outputs. *** GGUF is a large language model (LLM) format that can be split between CPU and GPU. GGUFs are compatible with applications based on llama.cpp, such as Backyard AI. Where other model formats require higher end GPUs with ample VRAM, GGUFs can be efficiently run on a wider variety of hardware. GGUF models are quantized to reduce resource usage, with a tradeoff of reduced coherence at lower quantizations. Quantization reduces the precision of the model weights by changing the number of bits used for each weight.
译文尚未就绪，显示来源原文
*** - **Creator:** froggeric - **Original:** WestLake v.2 10.7B - **Date Created:** 3/11/2024 - **Trained Context:** 8192 tokens - **Description:** Self-merge of WestLake 7B. Excels at understanding nuances in language and producing creative outputs. *** GGUF is a large language model (LLM) format that can be split between CPU and GPU. GGUFs are compatible with applications based on llama.cpp, such as Backyard AI. Where other model formats require higher end GPUs with ample VRAM, GGUFs can be efficiently run on a wider variety of hardware. GGUF models are quantized to reduce resource usage, with a tradeoff of reduced coherence at lower quantizations. Quantization reduces the precision of the model weights by changing the number of bits used for each weight.