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https://api.github.com/repos/ollama/ollama/issues/459 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/459/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/459/comments | https://api.github.com/repos/ollama/ollama/issues/459/events | https://github.com/ollama/ollama/pull/459 | 1,878,857,374 | PR_kwDOJ0Z1Ps5ZaZOq | 459 | generate binary dependencies based on `GOARCH` on macos | {
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} | This will allow building a universal binary (or cross compiling for `amd64`) on `arm64` Macs:
```
% GOARCH=amd64 go generate ./...
% GOARCH=amd64 go build .
% file ./ollama
./ollama: Mach-O 64-bit executable x86_64
```
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https://api.github.com/repos/ollama/ollama/issues/3407 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3407/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3407/comments | https://api.github.com/repos/ollama/ollama/issues/3407/events | https://github.com/ollama/ollama/issues/3407 | 2,215,453,262 | I_kwDOJ0Z1Ps6EDSJO | 3,407 | Ollama errors when using json mode with `command-r` model | {
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https://github.com/ggerganov/llama.cpp/issues/6112
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https://api.github.com/repos/ollama/ollama/issues/1456 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1456/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1456/comments | https://api.github.com/repos/ollama/ollama/issues/1456/events | https://github.com/ollama/ollama/issues/1456 | 2,034,460,321 | I_kwDOJ0Z1Ps55Q2ah | 1,456 | Wrong font in the model sorting dropdown menu in the model page for Safari | {
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<img width="1344" alt="ollama-font-issue-safari" src="https://github.com/... | {
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Can we expect such models as
https://huggingface.co/Systran/faster-distil-whisper-large-v3
Or maybe i... | {
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https://api.github.com/repos/ollama/ollama/issues/1853 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1853/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1853/comments | https://api.github.com/repos/ollama/ollama/issues/1853/events | https://github.com/ollama/ollama/issues/1853 | 2,070,234,198 | I_kwDOJ0Z1Ps57ZURW | 1,853 | phi not working | {
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ollama run phi
>>> hello
Hello, how can I assist you today?
>>> create a js function
Error: Post "http://127.0.0.1:11434/api/generate": EOF
```
mistral is working on my machine. but phi not working , what is happening ? | {
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https://api.github.com/repos/ollama/ollama/issues/4532 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4532/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4532/comments | https://api.github.com/repos/ollama/ollama/issues/4532/events | https://github.com/ollama/ollama/issues/4532 | 2,305,022,439 | I_kwDOJ0Z1Ps6JY9nn | 4,532 | codegemma 2b v1.1 q8 and q5_1 have incorrect model names | {
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} | null | null | null | ### What is the issue?
At these two urls:
https://ollama.com/library/codegemma:2b-code-v1.1-q8_0, I see "quantization Q5_1" in the list of files
https://ollama.com/library/codegemma:2b-code-v1.1-q5_1 I see "quantization Q8_1" in the list of files
![ollama_2024-05-19_22-56-49](https://github.com/ollama/ollama/a... | {
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https://api.github.com/repos/ollama/ollama/issues/7567 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7567/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7567/comments | https://api.github.com/repos/ollama/ollama/issues/7567/events | https://github.com/ollama/ollama/issues/7567 | 2,642,998,002 | I_kwDOJ0Z1Ps6diPLy | 7,567 | pull error - 104.21.75.227:443: wsarecv: An existing connection was forcibly closed by the remote host | {
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pulling manifest
pulling 2049f5674b1e... 100% ▕████████████████████████████████████████████████████████▏ 9.0 GB
Error: Head "https://registry.ollama.ai/v2/library/qwen2.5/blobs/sha256:66b9ea09bd5b7099cbb4fc820f31b575c0366fa439b08245566692c6784e281e": read tcp 192.168.1.7:56036->104.21.75.227:4... | {
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https://api.github.com/repos/ollama/ollama/issues/2189 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2189/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2189/comments | https://api.github.com/repos/ollama/ollama/issues/2189/events | https://github.com/ollama/ollama/issues/2189 | 2,100,588,594 | I_kwDOJ0Z1Ps59NHAy | 2,189 | Error: Post "http://127.0.0.1:11434/api/generate": EOF | {
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} | null | null | null | Installed by script and not AUR, previously running fine but since 2 weeks I can't run it anymore. MacOS 0.1.20 works fine.
> ollama run llama2:latest
> Error: Post "http://127.0.0.1:11434/api/generate": EOF
System:
OS: EndeavourOS Linux x86_64
Kernel: 6.7.0-arch3-1
Shell: zsh 5.9
CPU: AMD Ryzen 9 5900X ... | {
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https://api.github.com/repos/ollama/ollama/issues/149 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/149/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/149/comments | https://api.github.com/repos/ollama/ollama/issues/149/events | https://github.com/ollama/ollama/issues/149 | 1,814,816,048 | I_kwDOJ0Z1Ps5sK-Uw | 149 | error on main: the file name is invalid | {
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```
$ ollama run llama2
>>> hi
Error: Post "http://127.0.0.1:11434/api/generate": EOF
```
on server side:
```
llama_new_context_with_model: kv self size = 1024.00 MB
ggml_metal_init: allocating
ggml_metal_init: using MPS
ggml_metal_init: loading '(null)'
ggml_metal... | {
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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 weights into Ollama's native format. But after that, I need to tweak parameters, s... | null | {
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llm_load_tensors: ggml ctx size = 0.13 MiB
llama_model_load: error loading model: done_getting_tensors: wrong number of tensors; expected 255, got 254
llama_load_model_from_file: exception loading model
terminate called after throwing an instance of 'std::runtime_error'
what(): done_ge... | {
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https://api.github.com/repos/ollama/ollama/issues/3388 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3388/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3388/comments | https://api.github.com/repos/ollama/ollama/issues/3388/events | https://github.com/ollama/ollama/issues/3388 | 2,213,425,294 | I_kwDOJ0Z1Ps6D7jCO | 3,388 | Stanford Alpaca | {
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Can Alpaca model be added? Thank you so much!!
https://github.com/tatsu-lab/stanford_alpaca | null | {
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} | When building from source, or using downstream packaging systems, multiple versions of cuda runners may not be present. This adjusts the discoverry logic to only use versioned variants if they are detected at runtime. It also adds a new warning message in the log if no cuda runners are present but cuda GPUs are detec... | null | {
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Windows Defender thinks it is some sort of command and control malware.
### OS
Windows
### GPU
Nvidia
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https://api.github.com/repos/ollama/ollama/issues/6423 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6423/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6423/comments | https://api.github.com/repos/ollama/ollama/issues/6423/events | https://github.com/ollama/ollama/issues/6423 | 2,473,791,158 | I_kwDOJ0Z1Ps6Tcw62 | 6,423 | Running on MI300X via Docker fails with `rocBLAS error: Could not initialize Tensile host: No devices found` | {
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} | null | null | null | **Steps to reproduce:**
1. Run a Docker container using `ollama/ollama:rocm` on a machine with a single MI300X
2. Inside the container, run `ollama run llama3.1:70B`
**Actual behaviour:**
```
rocBLAS error: Could not initialize Tensile host: No devices found
```
The full output:
```
ollama serve &
[1] 6... | {
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https://api.github.com/repos/ollama/ollama/issues/4279 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4279/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4279/comments | https://api.github.com/repos/ollama/ollama/issues/4279/events | https://github.com/ollama/ollama/issues/4279 | 2,287,137,613 | I_kwDOJ0Z1Ps6IUvNN | 4,279 | Ollama reports an error when running the AI model using GPU | {
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} | null | null | null | ### What is the issue?
When I use the command :
’docker run --gpus all -d -v f:/ai/ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama‘
the following error will occur,
“docker:Error response from daemon:failed to create task for container:failed to create shim task:OCIruntime create failed:runc create f... | {
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https://api.github.com/repos/ollama/ollama/issues/693 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/693/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/693/comments | https://api.github.com/repos/ollama/ollama/issues/693/events | https://github.com/ollama/ollama/issues/693 | 1,924,959,439 | I_kwDOJ0Z1Ps5yvIzP | 693 | Mario System Prompt not working with Mistral Model | {
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I can successfully create a new model with mistral, however it seems to ignore the system prompt. I tried various system prompts but seems to revert back to Mistral.
Here is my results:
>ollama run MARIO
> who r u?
... | {
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https://api.github.com/repos/ollama/ollama/issues/8189 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8189/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8189/comments | https://api.github.com/repos/ollama/ollama/issues/8189/events | https://github.com/ollama/ollama/pull/8189 | 2,753,538,512 | PR_kwDOJ0Z1Ps6F9Qdp | 8,189 | remove tutorials.md which pointed to removed tutorials | {
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https://api.github.com/repos/ollama/ollama/issues/7854 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7854/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7854/comments | https://api.github.com/repos/ollama/ollama/issues/7854/events | https://github.com/ollama/ollama/issues/7854 | 2,697,262,990 | I_kwDOJ0Z1Ps6gxPeO | 7,854 | Different outputs for first and subsequent inferences after model load | {
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} | null | null | null | ### What is the issue?
The result I get just after model load into VRAM differ from subsequent ones. It's easily reproduced and consistent.
After issuing ollama clean, the first time I get A, and next times I get B. I tried several models (marco-o1 and qwen2.5 ) and both CPU (with num_gpu=0 option) and GPU inferen... | {
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https://api.github.com/repos/ollama/ollama/issues/680 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/680/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/680/comments | https://api.github.com/repos/ollama/ollama/issues/680/events | https://github.com/ollama/ollama/issues/680 | 1,922,700,473 | I_kwDOJ0Z1Ps5ymhS5 | 680 | Is there a way to change the download/run directory? | {
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https://api.github.com/repos/ollama/ollama/issues/1117 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1117/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1117/comments | https://api.github.com/repos/ollama/ollama/issues/1117/events | https://github.com/ollama/ollama/issues/1117 | 1,991,835,598 | I_kwDOJ0Z1Ps52uP_O | 1,117 | Change Default 11434 Port & fw question | {
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"total": 0,
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Also how do we allow other computers to hit the /generate api?
Thanks,
John | {
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https://api.github.com/repos/ollama/ollama/issues/7044 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7044/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7044/comments | https://api.github.com/repos/ollama/ollama/issues/7044/events | https://github.com/ollama/ollama/issues/7044 | 2,556,272,088 | I_kwDOJ0Z1Ps6YXZ3Y | 7,044 | Support detailed logs for each request | {
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} | null | null | null | Hi thanks for the library! In order to see what happens, it would be great to see detailed logs for each request. For example, not only the real string send into LLM, but also temperature, top_p, etc. It would be even greater if these could be output to a separate log or tracing service etc. | {
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https://api.github.com/repos/ollama/ollama/issues/3930 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3930/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3930/comments | https://api.github.com/repos/ollama/ollama/issues/3930/events | https://github.com/ollama/ollama/issues/3930 | 2,264,929,569 | I_kwDOJ0Z1Ps6HABUh | 3,930 | GPU allocation lost after container idle period | {
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} | null | null | null | ### What is the issue?
I'm experiencing an issue with Ollama where the Docker container fails to utilize the GPU unless I restart the container. This occurs when the container remains idle for an extended period (e.g., a day).
Initially, the GPU is configured correctly and allocated to the container. However, afte... | {
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Hi,
I would like to ask your help.
I am running Ollama with the following GPU, but it seems that it is not picking up my GPU. Is there any advice ?
AMD Ryzen™ 7 7840U processor.
When I **run ollama serve**, it gives me this error. Any advice ?
Thanks
```
2024/11/13 17:40:14 routes... | null | {
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I have tried several versions before this problem occurs, I would like to ask who encountered such a problem, can you help solve it.
Error: llama runner process has terminated: exit status 1
### OS
Linux
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.1.40 | {
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time=2024-02-15T21:04:25.135Z level=DEBUG source=logging_windows.go:12 msg="viewing logs with start C:\\Users\\jeff\\AppData\\Local\\Ollama"
time=2024-02-15T21:04:32.644Z level=DEBUG source=logging_windows.go:12 msg="viewing logs with start C:\\Users\\jeff\\AppData\\Local\\Ollama"
``` | {
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https://api.github.com/repos/ollama/ollama/issues/734 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/734/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/734/comments | https://api.github.com/repos/ollama/ollama/issues/734/events | https://github.com/ollama/ollama/issues/734 | 1,931,662,834 | I_kwDOJ0Z1Ps5zItXy | 734 | Need an option with low memory of GPU | {
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I was succeeded with CPU, but unfortunately my linux machine not have enough memory.
So, could you prepare an option with low memory of GPU ?
```
$ ollama serve
2023/10/08 06:05:12 images.go:996: total blobs: 17
2023/10/08 06:05:12 images.go:1003: total unused blobs removed:... | {
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I see this issue has been partially reported, but none of the previous reports seem to be extensive in their tests of possible methods to set this option.
The problem:
Ollama server truncates the input to 2048 tokens regardless of the chat completion API used.
My setup:
I tried Ollama... | null | {
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"followers_url": "https://api.gi... | null | 7 | 2024-05-03T18:49:42 | 2024-05-28T21:01:51 | 2024-05-28T21:01:51 | NONE | {
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After updating Ollama to version 0.1.33 WithSecure Elements identified ollama_llama_server.exe as a harmful file and put it in quarantine. It classified it as "Category: Malware and Type: Exploit".
It's about ollama_llama_server.exe in the \ollama_runners\cpu_avx folder. The executables in th... | {
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https://api.github.com/repos/ollama/ollama/issues/6599 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6599/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6599/comments | https://api.github.com/repos/ollama/ollama/issues/6599/events | https://github.com/ollama/ollama/issues/6599 | 2,501,898,827 | I_kwDOJ0Z1Ps6VH_JL | 6,599 | Unable to resolve Cuda-drivers on RHEL8.9 | {
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While in RHEL8.9 Ollama Installation cannot finish due to an issue while installing cuda-drivers.
Nvidia repository is successfully installed and I can see cuda-drivers are listed there but when triggering repolist only cuda-drivers-fabricmanager are listed.
I an running crazy with this issue... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7952 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7952/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7952/comments | https://api.github.com/repos/ollama/ollama/issues/7952/events | https://github.com/ollama/ollama/issues/7952 | 2,721,015,206 | I_kwDOJ0Z1Ps6iL2Wm | 7,952 | Problems (with nvidia-smi) after upgrading to 0.4.7 (from 0.3 series) | {
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Hi,
while testing the new 0.4.7 series, everything seems to be working ok (Mac), but I've detected a problem when running on Ubuntu 24.04, with docker.
And, more specifically, the problem is with `nvidia-smi` because, unless I'm wrong, the GPU is being used normally and not the CPU.
Wit... | {
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https://api.github.com/repos/ollama/ollama/issues/3368 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3368/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3368/comments | https://api.github.com/repos/ollama/ollama/issues/3368/events | https://github.com/ollama/ollama/issues/3368 | 2,210,089,380 | I_kwDOJ0Z1Ps6Du0mk | 3,368 | Reranking models | {
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Till now, ollama supports LLM and embedding models. I wonder if it could support popular reranking models later?
Such as:
1. [BAAI/bge-reranker-large](https://huggingface.co/BAAI/bge-reranker-large)
2. [mixedbread-ai/mxbai-rerank-large-v1](https://huggingface.co/mixedbread-ai/mxbai-... | null | {
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https://api.github.com/repos/ollama/ollama/issues/1280 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1280/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1280/comments | https://api.github.com/repos/ollama/ollama/issues/1280/events | https://github.com/ollama/ollama/pull/1280 | 2,011,208,708 | PR_kwDOJ0Z1Ps5gYfhr | 1,280 | fix: disable ':' in tag names | {
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https://api.github.com/repos/ollama/ollama/issues/100 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/100/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/100/comments | https://api.github.com/repos/ollama/ollama/issues/100/events | https://github.com/ollama/ollama/pull/100 | 1,810,601,534 | PR_kwDOJ0Z1Ps5V0glw | 100 | skip files in the list if we can't get the correct model path | {
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https://api.github.com/repos/ollama/ollama/issues/5043 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5043/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5043/comments | https://api.github.com/repos/ollama/ollama/issues/5043/events | https://github.com/ollama/ollama/pull/5043 | 2,352,815,843 | PR_kwDOJ0Z1Ps5yc9AC | 5,043 | Adds an uninstall script to the installer | {
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https://api.github.com/repos/ollama/ollama/issues/7633 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7633/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7633/comments | https://api.github.com/repos/ollama/ollama/issues/7633/events | https://github.com/ollama/ollama/pull/7633 | 2,653,024,204 | PR_kwDOJ0Z1Ps6Bq-wq | 7,633 | runner.go: Fix off-by-one for num predicted | {
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https://api.github.com/repos/ollama/ollama/issues/6553 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6553/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6553/comments | https://api.github.com/repos/ollama/ollama/issues/6553/events | https://github.com/ollama/ollama/issues/6553 | 2,494,210,904 | I_kwDOJ0Z1Ps6UqqNY | 6,553 | Cannot set custom folder for storing models | {
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I have run sudo systemctl edit ollama.service, and added the following lines using the text editor.
[Service]
Environment = OLLAMA_MODELS = "/home/<username>/AI/ollama_models"
i ran systemctl daemon-reload
systemctl restart ollama
Also rebooted, but models are still being stored in... | {
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https://api.github.com/repos/ollama/ollama/issues/1239 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1239/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1239/comments | https://api.github.com/repos/ollama/ollama/issues/1239/events | https://github.com/ollama/ollama/pull/1239 | 2,006,261,843 | PR_kwDOJ0Z1Ps5gIG3t | 1,239 | Update README.md - Community Integrations - Obsidian BMO Chatbot plugin | {
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I would like to add Obsidian's "BMO Chatbot" plugin to the 'Community Integrations' section :) | {
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time=2024-08-02T16:41:38.633+05:30 level=INFO source=images.go:781 msg="total blobs: 9"
time=2024-08-02T16:41:38.633+05:30 level=INFO source=images.go:788 msg="total unused blobs removed: 0"
time=2024-08-02T16:41:38.633+05:30 level=INFO source=routes.go:1156 msg="Listening on 127.0.0.1:11434 (... | {
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https://api.github.com/repos/ollama/ollama/issues/7899 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7899/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7899/comments | https://api.github.com/repos/ollama/ollama/issues/7899/events | https://github.com/ollama/ollama/pull/7899 | 2,708,116,806 | PR_kwDOJ0Z1Ps6DpDXD | 7,899 | ci: skip go build for tests | {
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https://api.github.com/repos/ollama/ollama/issues/6133 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6133/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6133/comments | https://api.github.com/repos/ollama/ollama/issues/6133/events | https://github.com/ollama/ollama/pull/6133 | 2,443,736,748 | PR_kwDOJ0Z1Ps53MMJo | 6,133 | Adjust arm cuda repo paths | {
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} | Ubuntu distros fail to install cuda drivers since aarch64 isn't valid
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/
Fixes #5797 | {
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It would be wonderfull to have the opportunity to check if a model is Tool compatible or not after pulling its manifest. It's pretty clear on the online model library but once the model is pulled, the information is lost.
Thanks for your attention :)
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My proposal is simply to have the same files as the installer version, and also include a portable.txt file to indicate that it is a portable install and to directly save Ollama settings, hi... | null | {
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Qwen2-VL-7B-Instruct
Pixtral-12B-2409
Molmo-7B-O-0924 | {
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https://api.github.com/repos/ollama/ollama/issues/7175 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7175/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7175/comments | https://api.github.com/repos/ollama/ollama/issues/7175/events | https://github.com/ollama/ollama/issues/7175 | 2,582,133,118 | I_kwDOJ0Z1Ps6Z6Dl- | 7,175 | Layer-wise Inferencing from ram/low vram mode? | {
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It seems like being able to use this feature for ollama to switch out layers to VRAM (preferably from memory) for processing could lead to a nice per... | {
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`... | {
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https://api.github.com/repos/ollama/ollama/issues/1028 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1028/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1028/comments | https://api.github.com/repos/ollama/ollama/issues/1028/events | https://github.com/ollama/ollama/pull/1028 | 1,980,976,174 | PR_kwDOJ0Z1Ps5eyUTz | 1,028 | WIP: Apply a patch for building with CUDA on Linux | {
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The patch is from a llama.cpp commit: https://github.com/ggerganov/llama.cpp/commit/2833a6f63c1b87c7f4ac574bcf7a15a2f3bf3ede | {
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https://api.github.com/repos/ollama/ollama/issues/357 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/357/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/357/comments | https://api.github.com/repos/ollama/ollama/issues/357/events | https://github.com/ollama/ollama/issues/357 | 1,852,552,749 | I_kwDOJ0Z1Ps5ua7Yt | 357 | Support multi-line input in CLI | {
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```
❯ ollama run llama2
>>> I have something like this:
Sure, please provide the code you have so far, and I will be happy to assist you in resolving any issues or answering any questions you may have. ever... | {
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https://api.github.com/repos/ollama/ollama/issues/5952 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5952/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5952/comments | https://api.github.com/repos/ollama/ollama/issues/5952/events | https://github.com/ollama/ollama/issues/5952 | 2,430,065,277 | I_kwDOJ0Z1Ps6Q19p9 | 5,952 | find system prompt encapsulation error in mistral-nemo 12b | {
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I used autogen + Ollama + mistral-nemo 12b model,
I find Ollama missed system message or lost question message.
maybe mistral-nemo 12b model template defined error.
case 1:
-----------------------------------
extractor_system_message = "...extractor_system_message..."
extractor = Assista... | {
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https://api.github.com/repos/ollama/ollama/issues/5728 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5728/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5728/comments | https://api.github.com/repos/ollama/ollama/issues/5728/events | https://github.com/ollama/ollama/issues/5728 | 2,411,981,789 | I_kwDOJ0Z1Ps6Pw-vd | 5,728 | Prompt Tokens for Image Chat | {
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<img width="793" alt="Screenshot 2024-07-16 at 1 22 43 PM" src="https://github.com/user-attachments/assets/4d743995-26b6-463d-8848-38cc9623dfe3">
Image Chat returns 1 for prompt tokens
### OS
_No response_
### GPU
_No response_
### CPU
_No response_
### Ollama version
_No response_ | {
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https://api.github.com/repos/ollama/ollama/issues/6305 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6305/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6305/comments | https://api.github.com/repos/ollama/ollama/issues/6305/events | https://github.com/ollama/ollama/pull/6305 | 2,459,369,125 | PR_kwDOJ0Z1Ps54BcYY | 6,305 | add integration obook-summary | {
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https://api.github.com/repos/ollama/ollama/issues/803 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/803/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/803/comments | https://api.github.com/repos/ollama/ollama/issues/803/events | https://github.com/ollama/ollama/issues/803 | 1,945,048,182 | I_kwDOJ0Z1Ps5z7xR2 | 803 | Feature request: pull multiple models with ollama pull | {
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```ollama pull mistral falcon orca-mini```
instead of having to do:
```
ollama pull mistral
ollama pull falcon
ollama pull orca-mini
```
Not a huge deal but it feels fairly natural to do this sort of approach... | {
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https://api.github.com/repos/ollama/ollama/issues/28 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/28/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/28/comments | https://api.github.com/repos/ollama/ollama/issues/28/events | https://github.com/ollama/ollama/issues/28 | 1,783,019,757 | I_kwDOJ0Z1Ps5qRrjt | 28 | autocomplete for `llama run` | {
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https://api.github.com/repos/ollama/ollama/issues/2629 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2629/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2629/comments | https://api.github.com/repos/ollama/ollama/issues/2629/events | https://github.com/ollama/ollama/pull/2629 | 2,146,346,567 | PR_kwDOJ0Z1Ps5ngEqZ | 2,629 | Configure `OLLAMA_ORIGINS` via settings.json | {
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Added settings menu item in the Electron tray application. Also, hoisted the `OLLAMA_ORIGINS` environment variable to the settings.json file, ensuring routes.go retrieves origins from the file rathe... | {
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https://api.github.com/repos/ollama/ollama/issues/5247 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5247/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5247/comments | https://api.github.com/repos/ollama/ollama/issues/5247/events | https://github.com/ollama/ollama/issues/5247 | 2,369,087,234 | I_kwDOJ0Z1Ps6NNWcC | 5,247 | Recoll index RAG | {
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} | null | null | null | Would it be possible in any way to use the text database index created by the software Recoll with ollama?
Recoll indexes an extremely wide variety of text documents into a database that is then searchable via the software, making a veritable search engine out of your documents. It is one of my favourite softwares, a... | null | {
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https://api.github.com/repos/ollama/ollama/issues/851 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/851/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/851/comments | https://api.github.com/repos/ollama/ollama/issues/851/events | https://github.com/ollama/ollama/issues/851 | 1,954,458,776 | I_kwDOJ0Z1Ps50fqyY | 851 | macOS: Installing CLI from DMG should NOT require administrator privileges | {
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I'm not that familiar with DMG installers, but I can provide shell script examples (or write whatever is needed in full) for ensuring that the executable i... | {
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https://api.github.com/repos/ollama/ollama/issues/6381 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6381/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6381/comments | https://api.github.com/repos/ollama/ollama/issues/6381/events | https://github.com/ollama/ollama/pull/6381 | 2,469,052,749 | PR_kwDOJ0Z1Ps54g6nC | 6,381 | fix: Add tooltip to system tray icon | {
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} | - Updated setIcon method to include tooltip text for the system tray icon.
- Added NIF_TIP flag and set the tooltip text using UTF16 encoding.
Resolves: #6372 | {
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source: https://github.com/deepseek-ai/DeepSeek-R1#deepseek-r1-distill-models | {
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https://api.github.com/repos/ollama/ollama/issues/3556 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3556/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3556/comments | https://api.github.com/repos/ollama/ollama/issues/3556/events | https://github.com/ollama/ollama/issues/3556 | 2,233,381,743 | I_kwDOJ0Z1Ps6FHrNv | 3,556 | CodeGemma by Google | {
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CodeGemma by Google has just been released:
https://huggingface.co/collections/google/codegemma-release-66152ac7b683e2667abdee11 | {
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} | - if 30 seconds pass since the last token generation abort the request
- stop the llama thread to flush any accumulated context
This is an attempt to mitigate server hangs as seen in #2805. It is not a complete solution since we still need to address the root cause of the hangs, but it will make them recoverable.
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https://api.github.com/repos/ollama/ollama/issues/2685 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2685/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2685/comments | https://api.github.com/repos/ollama/ollama/issues/2685/events | https://github.com/ollama/ollama/issues/2685 | 2,149,436,210 | I_kwDOJ0Z1Ps6AHcsy | 2,685 | v0.1.26 and v0.1.25 do not use AMD GPU on Linux | {
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https://api.github.com/repos/ollama/ollama/issues/8116 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8116/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8116/comments | https://api.github.com/repos/ollama/ollama/issues/8116/events | https://github.com/ollama/ollama/issues/8116 | 2,742,123,379 | I_kwDOJ0Z1Ps6jcXtz | 8,116 | doc to use go example and apis | {
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ie : https://github.com/ollama/ollama/blob/main/examples/go-http-generate/main.go
import (
"bytes"
"fmt"
"io"
"log"
"net/http"
"os"
)
where is the doc ?
was it used for llama3.2 before as it now refuse to open address ?
with "os" can i use linux software ?
if no... | {
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https://api.github.com/repos/ollama/ollama/issues/871 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/871/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/871/comments | https://api.github.com/repos/ollama/ollama/issues/871/events | https://github.com/ollama/ollama/pull/871 | 1,955,599,796 | PR_kwDOJ0Z1Ps5dc1Bf | 871 | fix: Add support for legacy CPU (no AVX2/FMA) on Linux | {
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} | Fixes the illegal instruction error when running with CPU without AVX2 or FMA, by building another set of ollama runner with `-DLLAMA_AVX2=off -DLLAMA_FMA=off`.
By default, upon running the cmake for ggml/gguf, it will have these arguments set to ON. Setting it to OFF, allows older CPU that don't have these instruct... | {
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https://api.github.com/repos/ollama/ollama/issues/1587 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1587/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1587/comments | https://api.github.com/repos/ollama/ollama/issues/1587/events | https://github.com/ollama/ollama/issues/1587 | 2,047,499,153 | I_kwDOJ0Z1Ps56CluR | 1,587 | Missing "ollama avail" command to show available models | {
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https://api.github.com/repos/ollama/ollama/issues/2254 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2254/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2254/comments | https://api.github.com/repos/ollama/ollama/issues/2254/events | https://github.com/ollama/ollama/issues/2254 | 2,105,502,080 | I_kwDOJ0Z1Ps59f2mA | 2,254 | No response from ollama | {
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```
curl -X POST -d '{"model":"llama2", "messages":[{"role":"user","content":"why the weather in winter is so cold?"}], "stream":false}' 127.0.0.1:11434/api/chat
```
Here's the `ollama list`
```
llama2:latest 78e26419b446 3.8 GB 4 hours ago
llava:latest cd3274b81a85 4.5 G... | {
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https://api.github.com/repos/ollama/ollama/issues/3977 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3977/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3977/comments | https://api.github.com/repos/ollama/ollama/issues/3977/events | https://github.com/ollama/ollama/issues/3977 | 2,266,955,135 | I_kwDOJ0Z1Ps6HHv1_ | 3,977 | api/create inserts escape quotes \" for the last PARAMETER stop. | {
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"avatar_url": "https://avatars.githubusercontent.com/u/22120994?v=4",
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} | null | null | null | ### What is the issue?
Hi,
If you run the following python code to copy llama3 to test, it creates a modelfile with escape qotes for the last PARAMETER stop.
If I use `ollama create test -f test.modelfile`, it works fine.
First I thought [ollama/ollama-python](https://github.com/ollama/ollama-python/issues/136)... | {
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https://api.github.com/repos/ollama/ollama/issues/4401 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4401/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4401/comments | https://api.github.com/repos/ollama/ollama/issues/4401/events | https://github.com/ollama/ollama/pull/4401 | 2,292,610,596 | PR_kwDOJ0Z1Ps5vP2UJ | 4,401 | update llama.cpp submodule to support jina embeddings v2 | {
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https://api.github.com/repos/ollama/ollama/issues/7509 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7509/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7509/comments | https://api.github.com/repos/ollama/ollama/issues/7509/events | https://github.com/ollama/ollama/issues/7509 | 2,635,375,713 | I_kwDOJ0Z1Ps6dFKRh | 7,509 | Support partial loads of LLaMA 3.2 Vision 11b on 6G GPUs | {
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"total": 0,
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} | null | null | null | ### What is the issue?
**Description:**
I encountered an issue where the **LLaMA 3.2 Vision 11b** model loads entirely in CPU RAM, without utilizing the GPU memory as expected. The issue occurs on my Windows-based laptop with 6GB VRAM, where models that exceed GPU memory capacity should load the rest into system RAM ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7997 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7997/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7997/comments | https://api.github.com/repos/ollama/ollama/issues/7997/events | https://github.com/ollama/ollama/issues/7997 | 2,725,326,484 | I_kwDOJ0Z1Ps6icS6U | 7,997 | Support loading models from multiple locations | {
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} | null | null | null | Model files adds up real fast, and my internal disk is near full after pulling a few 72b models. It would be great if `OLLAMA_MODELS` can be a colon separated string with multiple paths. Then the `pull` and `run` command should automatically decide which folder to put new models to and allow overwritting with a switch. | null | {
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https://api.github.com/repos/ollama/ollama/issues/6741 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6741/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6741/comments | https://api.github.com/repos/ollama/ollama/issues/6741/events | https://github.com/ollama/ollama/issues/6741 | 2,518,383,052 | I_kwDOJ0Z1Ps6WG3nM | 6,741 | Llama 3.1 70b 128k context not fitting 96Gb | {
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"node_id": "LA_kwDOJ0Z1Ps8AAAABf0syJg... | open | false | null | [] | null | 2 | 2024-09-11T03:38:29 | 2024-09-11T17:32:19 | null | NONE | {
"total": 0,
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} | null | null | null | ### What is the issue?
Not only it doesn't fit 96Gb (offloading only 10 layers out of 81), but processing actual ~128k request crashes with `CUDA error: out of memory` on 160Gb (will all layers offloaded)
As mentioned here https://github.com/ollama/ollama/issues/6279#issuecomment-2342546437_
this is obviously a ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/8518 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8518/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8518/comments | https://api.github.com/repos/ollama/ollama/issues/8518/events | https://github.com/ollama/ollama/issues/8518 | 2,801,928,484 | I_kwDOJ0Z1Ps6nAgkk | 8,518 | cannot find ROCM files/tools in docker image | {
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System: Docker on Debian 12.5, 16GB, AMD RX 550 4GB
Docker im... | null | {
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Trying to load Mixtral 8x22B model using an A100 GPU as a deployment in Kubernetes, but it isn't loaded after 6 minutes.
Mistral 7B model is loaded fine.
Here is the debug log:
`time=2024-07-21T07:39:07.407Z level=DEBUG source=gpu.go:358 msg="updating system memory data" before.total=... | {
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https://api.github.com/repos/ollama/ollama/issues/1382 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1382/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1382/comments | https://api.github.com/repos/ollama/ollama/issues/1382/events | https://github.com/ollama/ollama/issues/1382 | 2,024,910,714 | I_kwDOJ0Z1Ps54sa96 | 1,382 | litellm leaves defunct processes behind | {
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https://github.com/BerriAI/litellm/issues/992
litellm -m ollama/alfred
litellm -m ollama/mistral
run an autogen application that uses these guys
The autogen get's stuck, so you must ctrl-c out.
The ollama models you started are now defunct
If on a linux system you do
ps au... | {
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} | macOS and Windows don't error when paging to disk, so loosen this check for now to not return an error to users that could still run the model (albeit a little slowly). It also stops us from double counting memory on Apple Silicon Macs.
In the future, we should still select an upper limit on memory for macOS and Win... | {
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Cloning into 'wav2vec2-large-xlsr-53-italian'...
remote: Enumerating objects: 99, done.
remote: Total 99 (delta 0), reused 0 (delta 0), pack-reused 99 (from 1)
Unpacking objects: 100% (99/... | null | {
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} | this change allows models that do not set `phi3.attention.sliding_window` to revert to the previous behaviour instead of segfaulting
resolves #5956 | {
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```
Error: Unable to load dynamic library: Unable to load dynamic server library: /tmp/ollama3730278603/cpu/libext_server.so: undefined symbol: _ZTVN10cxxabiv117class
```
cc @dhiltgen | {
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After going to 0.1.45 from 0.1.43 version I get out of memory, I did try as well
Set-ItemProperty -Path 'HKCU:\Environment' -Name 'OLLAMA_SCHED_SPREAD' -Value 1
and
Set-ItemProperty -Path 'HKCU:\Environment' -Name 'CUDA_VISIBLE_DEVICES' -Value "0,1"
But still it is happening.
```
l... | {
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What's kind of performance / latency on prompts we should expect running on M2 Pro ? Seems like takes up to 10s to generate the answers using `llama2` model. Is that something that can improve in the future?
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I did see an issue this was mentioned in it but it was closed and said as fixed in version 0.2.1
I wasn't having this issue when I was using 0.3.0. I missed a few updates, but updated to the most recent and now if I have OLLAMA_NUM_PARALLEL in my system variables or use it as an option in pytho... | {
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https://api.github.com/repos/ollama/ollama/issues/4399 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4399/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4399/comments | https://api.github.com/repos/ollama/ollama/issues/4399/events | https://github.com/ollama/ollama/pull/4399 | 2,292,514,059 | PR_kwDOJ0Z1Ps5vPgvY | 4,399 | fix embedding by adding fixes from llama.cpp upstream | {
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} | Embedding appears broken since v0.1.32
See #3777 #4207 for details.
This PR applies fixes based on https://github.com/ggerganov/llama.cpp/commit/1b67731e184e27a465b8c5476061294a4af668ea#diff-87355a1a297a9f0fdc86af5e2a59cae153290f58d68822cd10c30fee4f7f7076.
I've tested it and embedding vectors looks correct aft... | {
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https://api.github.com/repos/ollama/ollama/issues/8240 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8240/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8240/comments | https://api.github.com/repos/ollama/ollama/issues/8240/events | https://github.com/ollama/ollama/issues/8240 | 2,758,744,333 | I_kwDOJ0Z1Ps6kbxkN | 8,240 | Realtime API | {
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https://api.github.com/repos/ollama/ollama/issues/2256 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2256/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2256/comments | https://api.github.com/repos/ollama/ollama/issues/2256/events | https://github.com/ollama/ollama/pull/2256 | 2,105,955,023 | PR_kwDOJ0Z1Ps5lWb8C | 2,256 | Add container hints for troubleshooting | {
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https://api.github.com/repos/ollama/ollama/issues/4521 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4521/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4521/comments | https://api.github.com/repos/ollama/ollama/issues/4521/events | https://github.com/ollama/ollama/pull/4521 | 2,304,687,654 | PR_kwDOJ0Z1Ps5v5B6N | 4,521 | implement tunable registry defaults for registry and update mirrors | {
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} | # What is the problem this change solves?
In large environments with many cloud instances are running `ollama serve`, accidentally pushing code to run `ollama pull llama3` can result in 100's of cloud instances are trying to download from `ollama.ai`.
The correct change for production should have been `ollama pull... | null | {
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https://api.github.com/repos/ollama/ollama/issues/2736 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2736/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2736/comments | https://api.github.com/repos/ollama/ollama/issues/2736/events | https://github.com/ollama/ollama/issues/2736 | 2,152,498,068 | I_kwDOJ0Z1Ps6ATIOU | 2,736 | Windows version "/api/generate" 404 not found | {
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The "/api/generate" is not function... | {
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