Related Issues (20)
- [ BUG ] Use kubeblock to install the error and not set the storage size.
- 部署deepseek-coder-6.7b-instruct 并用oneapi代理,使用openai调用报错 HOT 2
- Xinference最新版本启动加载模型很容易崩溃 HOT 1
- 当加载了llm模型Qwen1.5-14B-Chat-GPTQ-int4后,就不能加载m3e-base向量模型了 HOT 1
- CUDA error: invalid argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions. HOT 2
- xinference v0.12.3 模型运行后随着对话次数增多,GPU资源占用不释放 HOT 1
- 按官网要求,通过K8s集群部署 kbcli addon enable xinference 提示not found HOT 7
- Regarding the support for the MLX UI interface issue HOT 1
- No module named 'ChatTTS' HOT 2
- Unable to Initiate Chat with glm4v Model Using xinference v0.13.1 - Error: Too Many Values to Unpack HOT 1
- missing 1 required positional argument: 'device' HOT 2
- 'chatglm_cpp._C.ChatGLM3Tokenizer' object has no attribute 'encode_messages' HOT 2
- vllm流式推理问题 HOT 3
- More clear installation instructions HOT 6
- embedding模型无法指定gpu HOT 2
- 增加 embedding 模型默认输出向量未归一化的向量 HOT 1
- 'system_message' is undefined HOT 5
- 升级到0.13.1后局域网访问时要求用户登录 HOT 6
- 调用rerank接口,返回的结果中,results.document 字段返回值都是空 HOT 1
- chatglm3 failed to load model:gguf_init_from_file: invalid magic characters 'V'
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