Add troubleshootings for ollama and llama.cpp (#12358)

* add ollama troubleshoot en

* zh ollama troubleshoot

* llamacpp trouble shoot

* llamacpp trouble shoot

* fix

* save gpu memory

docs/mddocs/Quickstart/llama_cpp_quickstart.md

@@ -366,3 +366,6 @@ On latest version of `ipex-llm`, you might come across `native API failed` error
 
 #### 15. `signal: bus error (core dumped)` error
 If you meet this error, please check your Linux kernel version first. You may encounter this issue on higher kernel versions (like kernel 6.15). You can also refer to [this issue](https://github.com/intel-analytics/ipex-llm/issues/10955) to see if it helps.
+
+#### 16. `backend buffer base cannot be NULL` error
+If you meet `ggml-backend.c:96: GGML_ASSERT(base != NULL && "backend buffer base cannot be NULL") failed`, simply adding `-c xx` parameter during inference, for example `-c 1024` would resolve this problem.

docs/mddocs/Quickstart/llama_cpp_quickstart.zh-CN.md

@@ -367,3 +367,6 @@ Log end
 
 #### 15. `signal: bus error (core dumped)` 错误
 如果你遇到此错误，请先检查你的 Linux 内核版本。较高版本的内核（例如 6.15）可能会导致此问题。你也可以参考[此问题](https://github.com/intel-analytics/ipex-llm/issues/10955)来查看是否有帮助。
+
+#### 16. `backend buffer base cannot be NULL` 错误
+如果你遇到`ggml-backend.c:96: GGML_ASSERT(base != NULL && "backend buffer base cannot be NULL") failed`错误，在推理时传入参数`-c xx`，如`-c 1024`即可解决。

docs/mddocs/Quickstart/ollama_quickstart.md

@@ -223,3 +223,6 @@ If you find ollama hang when multiple different questions is asked or context is
 
 #### 7. `signal: bus error (core dumped)` error
 If you meet this error, please check your Linux kernel version first. You may encounter this issue on higher kernel versions (like kernel 6.15). You can also refer to [this issue](https://github.com/intel-analytics/ipex-llm/issues/10955) to see if it helps.
+
+#### 8. Save GPU memory by specify `OLLAMA_NUM_PARALLEL=1`
+If you have a limited GPU memory, use `set OLLAMA_NUM_PARALLEL=1` on Windows or `export OLLAMA_NUM_PARALLEL=1` on Linux before `ollama serve` to reduce GPU usage. The default `OLLAMA_NUM_PARALLEL` in ollama upstream is set to 4.

docs/mddocs/Quickstart/ollama_quickstart.zh-CN.md

@@ -218,3 +218,6 @@ Ollama 默认每 5 分钟从 GPU 内存卸载一次模型。针对 ollama 的最
 
 #### 7. `signal: bus error (core dumped)` 错误
 如果你遇到此错误，请先检查你的 Linux 内核版本。较高版本的内核（例如 6.15）可能会导致此问题。你也可以参考[此问题](https://github.com/intel-analytics/ipex-llm/issues/10955)来查看是否有帮助。
+
+#### 8. 通过设置`OLLAMA_NUM_PARALLEL=1`节省GPU内存
+如果你的GPU内存较小，可以通过在运行`ollama serve`前运行`set OLLAMA_NUM_PARALLEL=1`（Windows）或`export OLLAMA_NUM_PARALLEL=1`（Linux）来减少内存使用。Ollama默认使用的`OLLAMA_NUM_PARALLEL`为4。