创建一个名为 Modelfile 的文件,使用 FROM 指令指定要导入的模型的本地文件路径。 FROM ./vicuna-33b.Q4_0.gguf 创建模型 ollama create example -f Modelfile 运行模型 ollama run example (2). 自定义提示 可以使用提示来自定义 Ollama 模型。例如,要自定义 llama2 模型: ollama pull llama2 创建一个...
1、部署 qwen:110b-chat-v1.5-q4_0 (1)模型介绍 (2)拉取模型 (3)运行模型 (4)显卡使用情况 (5)再次提问 (6)显卡使用情况 N、后记 0、背景 研究一下 Ollama ~ 摘自姬特哈珀官方仓库读我文件 Get up and running with large language models locally. 本地运行大语言模型。 (1)本系列文章 格瑞图:O...
ollama pull qwen:32b-chat-v1.5-q4_0results inError: unepxected end of JSON input However,ollama pull qwen:32bworks (right now they point to the same hash) OS Linux GPU Nvidia CPU Intel Ollama version 0.1.33
Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models. - ollama/llama/llama.go at 9039c821a2c572e8bd0ee5cde13e4cb55c332e35 · ollama/ollama
可以参考下面描述,推荐Q4_K_M和Q5_K_S,Q5_K_M,鉴于我们的量化级别不能大于7,因此可以采用推荐的Q5_K_M模型。Allowed quantization types: 2 or Q4_0 : 3.50G, +0.2499 ppl @ 7B - small, very high quality loss - legacy, prefer using Q3_K_M 3 or Q4_1 : 3.90G, +0.1846 ppl @ 7B - ...
🔥 We provide the official q4_k_m, q8_0, and f16 GGUF versions of Llama3.1-8B-Chinese-Chat-v2.1 at https://huggingface.co/shenzhi-wang/Llama3.1-8B-Chinese-Chat/tree/main/gguf! For optimal performance, we refrain from fine-tuning the model's identity. Thus, inquiries such as "Who...
130msg="inference compute"id=GPU-e76e16fd-2ced-a768-1371-8203afd42b36 library=cuda variant=v12 compute=8.9driver=12.4name>Feb2017:28:10gpu-01ollama[2587049]:time=2025-02-20T17:28:10.639+08:00level=INFOsource=types.go:130msg="inference compute"id=GPU-0b6b5e0c-994d-1d6a-378c-ef015...
ollama create deepseek-ai/DeepSeek-R1-Q4_K_M-f/data/wanghao/project/vllms/deepseek-ai/DeepSeek-R1-Q4_K_M/modelfile 看到success就表明执行成功了! 接下来就可以运行模型,执行命令: 代码语言:javascript 代码运行次数:0 复制 Cloud Studio代码运行 ...
wget -b https://www.modelscope.cn/models/unsloth/DeepSeek-R1-Distill-Llama-70B-GGUF/resolve/master/DeepSeek-R1-Distill-Llama-70B-Q4_K_M.gguf modelscope命令(推荐) 参考:https://www.jianshu.com/p/e06cfe41b7a9?v=1739521146303 2. 编写 modelfile ...
llama_model_loader: - type q4_K: 441 tensors llama_model_loader: - type q5_K: 40 tensors llama_model_loader: - type q6_K: 81 tensors llm_load_vocab: special_eos_id is not in special_eog_ids - the tokenizer config may be incorrect ...