使用了Xeon处理器、一块主板和16GB主内存。我可以很好地运行DeepSeek-V2 16b。
jun 20 09:09:24 ollama[1558]: llama_model_loader: - kv 1: general.name str = DeepSeek-Coder-V2-Lite-Instruct jun 20 09:09:24 ollama[1558]: llama_model_loader: - kv 2: deepseek2.block_count u32 = 27 jun 20 09:09:24 ollama[1558]: llama_model_loader: - kv 3: deepseek2...
(compatible) endpoints like http://localhost:11434 or https://api.openai.com "ApiKey": "" // not required for Ollama "Model": "deepseek-coder-v2:16b", // the model to use "Mode": "replacefile", // "replacefile" tries to rewrite files while "find" just writes console outputs ...
deepseek-coder-v2 An open-source Mixture-of-Experts code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks. 16b 236b 601.3K Pulls 64 Tags Updated 5 months ago mixtral A set of Mixture of Experts (MoE) model with open weights by Mistral AI in ...
使用起来简单、方便，推理速度也很不错。一般模型的支持速度也非常快，不过对于超大型模型（如DeepSeek-...
使用起来简单、方便，推理速度也很不错。一般模型的支持速度也非常快，不过对于超大型模型（如DeepSeek-...
$ ollama ps NAME ID SIZE PROCESSOR UNTIL deepseek-coder-v2:16b-lite-instruct-q8_0 44250301ba51 19 GB 100% GPU Forever Maybe that's because you edited theollama.serviceand not the override, so when you upgraded, the ollama.service was reset to the default one?
"deepseek-coder-v2:16b", "deepseek-coder-v2:236b", "falcon2", "falcon2:11b", "firefunction-v2", "firefunction-v2:70b", "gemma", "gemma:2b", "gemma:7b", "gemma2", "gemma2:2b", "gemma2:9b", "gemma2:27b", "llama2", "llama2:7b", "llama2:13b", "llama2:70b", "llam...
要在本地机器上安装和使用Ollama工具以部署大型语言模型（LLM），可以按照以下步骤进行操作。1）确保的...
SGLang 优势：性能卓越：在在线和离线场景中，SGLang Runtime始终提供更优的性能，处理从Llama-8B到...