{"model":"qwen","created_at":"2024-04-19T04:19:12.306195112Z","response":",","done":false} {"model":"qwen","created_at":"2024-04-19T04:19:12.396688012Z","response":"由于","done":false} {"model":"qwen","created_at":"2024-04-19T04:19:12.491878433Z","response":"蓝色","don...
Ollama supports importing GGUF models in the Modelfile: 噢拉玛支持从模型文件 Modelfile 导入 GGUF 模型。 Create a file named Modelfile, with a FROM instruction with the local filepath to the model you want to import. 01.创建一个名为 Modelfile 的文件,使用 FROM 指令从本地文件路径导入想使用...
首先拉取 LocalAI 代码仓库,并进入指定目录 git clone https://github.com/go-skynet/LocalAI cd LocalAI/examples/langchain-chroma 1. 2. 下载demo LLM 和 Embedding 模型(仅供参考) wget https://huggingface.co/skeskinen/ggml/resolve/main/all-MiniLM-L6-v2/ggml-model-q4_0.bin -O models/bert w...
Ollama is an absolutely brilliant project. Thank you everyone involved in creating it! I've been working on local models, and noticed one weakness of Ollama. The initial import obviously has to take some time to convert the GGUF model we...
ollama create llama3_chinese example-f Modelfile br 1. 2. 运行大模型: 复制 ollama run llama3_chinese br 1. 2. 具体的过程也可以参考Ollama的文档: https://github.com/ollama/ollama/blob/main/README.md https://github.com/ollama/ollama/blob/main/docs/import.md...
Import from GGUF Ollama supports importing GGUF models in the Modelfile: Create a file namedModelfile, with aFROMinstruction with the local filepath to the model you want to import. FROM ./vicuna-33b.Q4_0.gguf Create the model in Ollama ...
Description=Ollama Service 1. 参考资料 https://github.com/ollama/ollama/blob/main/docs/import.md https://github.com/ollama/ollama/blob/main/docs/modelfile.md https://github.com/ggerganov/llama.cpp/blob/master/README.md#prepare-and-quantize...
The IDEA platform function is the most perfect, the interface is the most beautiful, and the model support is the most, and the user experience is the best programming assistant Support ollama local model service, use any open source large model for code completion and chat ...
Import from GGUF Ollama supports importing GGUF models in the Modelfile: Create a file namedModelfile, with aFROMinstruction with the local filepath to the model you want to import. FROM ./vicuna-33b.Q4_0.gguf Create the model in Ollama ...
import json model_name ="meta-llama/Meta-Llama-3-8B-Instruct" tokenizer = AutoTokenizer.from_pretrained(model_name) dataset = load_dataset("glaiveai/glaive-function-calling-v2",split="train") def cleanup(input_string): arguments_index = input_string.find('"arguments"') ...