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} | This proposal allows the Ollama service to be made discoverable via [zero configuration networking](https://en.wikipedia.org/wiki/Zero-configuration_networking) across the user's local network via Bonjour/Zeroconf/Avahi aka [Multicast DNS (mDNS)](https://en.wikipedia.org/wiki/Multicast_DNS) using the [`zeroconf` Go lib... | {
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I deployed the qwen2.5:72b-instruct-q6_K model, which occupies 4*3090 and a total of 75G GPU memory. When I use llama3:latest, it will not use RAM and CPU (755G/128 core), it will unload qwen2.5:72b-instruct-q6_K and load llama3:latest to GPU, even though qwen2.5:72b-instruct-q6_K is in use at... | null | {
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When testing llava-llama3 on an agentic task of interpreting an image and generating an action. I specified the role of the 'environment' as 'environment'. This leads to ollama freezing in the chat dialog. Likewise, when running bakllava - ollama freezes when multiple `system` role messages are ... | {
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Why did you multiply the temperature value by 2? | {
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installation of the binary using
./ollama-linux-amd64 serve&
./ollama-linux-amd64
when I've used sinteractive to grab a GPU (a100 w 80gb)
seems to work fine on our cluster
However, the resulting install does not respect instructions. I asked mixtral chat, mixtral instruct (properly formatt... | {
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Dec 11 18:31:37 x99 ollama[25964]: 2023/12/11 18:31:37 llama.go:292: 39320 MB VRAM available, loading up to 101 GPU layers
Dec 11 18:31:37 x99 ollama[25964]: 2023/12/11 18:31:37 llama.go:421: starting llama runner
Dec 11 18:... | {
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https://api.github.com/repos/ollama/ollama/issues/8094 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8094/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8094/comments | https://api.github.com/repos/ollama/ollama/issues/8094/events | https://github.com/ollama/ollama/issues/8094 | 2,739,752,259 | I_kwDOJ0Z1Ps6jTU1D | 8,094 | No normalization option was provided when calling the embedding model | {
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As the title says, I want to use ollama to call mxbai-embed-large:latest and output a normalized vector, but ollama does not seem to support normalized=true
### OS
Linux
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.5.1 | {
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https://api.github.com/repos/ollama/ollama/issues/1271 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1271/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1271/comments | https://api.github.com/repos/ollama/ollama/issues/1271/events | https://github.com/ollama/ollama/issues/1271 | 2,010,412,387 | I_kwDOJ0Z1Ps531HVj | 1,271 | Terminal output issues on Windows | {
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```
ggml_init_cublas: CUDA_USE_TENSOR_CORES: yes
ggml_init_cublas: found 1 CUDA devices:
Device 0: NVIDIA GeForce RTX 4090, compute capability 8.9
```
However, the terminal interf... | {
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https://api.github.com/repos/ollama/ollama/issues/6489 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6489/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6489/comments | https://api.github.com/repos/ollama/ollama/issues/6489/events | https://github.com/ollama/ollama/issues/6489 | 2,484,485,771 | I_kwDOJ0Z1Ps6UFj6L | 6,489 | Error 403 occurs when I call ollama's api | {
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} | null | null | null | ### What is the issue?
Prerequisite: Use the C++ interface of ipex-llm as ollama's acceleration backend. Then start the ollama server (port 127.0.0.1.11434). When you use the edge browser plug-in to access the api of ollama, error 403 occurs
![image](https://github.com/user-attachments/assets/b9d4eee0-0293-41e7-9437-... | {
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https://api.github.com/repos/ollama/ollama/issues/1580 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1580/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1580/comments | https://api.github.com/repos/ollama/ollama/issues/1580/events | https://github.com/ollama/ollama/issues/1580 | 2,046,547,249 | I_kwDOJ0Z1Ps55-9Ux | 1,580 | why am I keep failing in request from my server? | {
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I typed ollama serve then
with port forwarding,
xxx.xxx.xxx(myserver) : 5050
then there is message saying
Ollama is running
so , on postman, I tried to send prompt to receive answer from ollama.
<img width="746" alt="스크린샷 2023-12-18 오후 9 18 12" src="https://github.com/jmorganca/ollama/a... | {
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https://api.github.com/repos/ollama/ollama/issues/5685 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5685/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5685/comments | https://api.github.com/repos/ollama/ollama/issues/5685/events | https://github.com/ollama/ollama/pull/5685 | 2,407,253,786 | PR_kwDOJ0Z1Ps51TyoM | 5,685 | Disable mmap by default for Windows ROCm | {
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https://api.github.com/repos/ollama/ollama/issues/6108 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6108/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6108/comments | https://api.github.com/repos/ollama/ollama/issues/6108/events | https://github.com/ollama/ollama/pull/6108 | 2,441,050,958 | PR_kwDOJ0Z1Ps53C8lu | 6,108 | server: fix json marshalling of downloadBlobPart | {
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https://api.github.com/repos/ollama/ollama/issues/5353 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5353/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5353/comments | https://api.github.com/repos/ollama/ollama/issues/5353/events | https://github.com/ollama/ollama/pull/5353 | 2,379,455,173 | PR_kwDOJ0Z1Ps5z10qG | 5,353 | Draft: Support Moore Threads GPU | {
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} | Moore Threads, a cutting-edge GPU startup, introduces MUSA (Moore Threads Unified System Architecture) as its foundational technology. This pull request marks the initial integration of MT GPU support into Ollama, leveraging MUSA's capabilities to enhance LLM inference performance.
I am also working on integrating M... | {
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https://api.github.com/repos/ollama/ollama/issues/3181 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3181/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3181/comments | https://api.github.com/repos/ollama/ollama/issues/3181/events | https://github.com/ollama/ollama/issues/3181 | 2,190,114,182 | I_kwDOJ0Z1Ps6Cin2G | 3,181 | Suppressing output of all the metadata. | {
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I want to use Ollama to serve a local LLM with OpenAI API to allow Pythogora/gpt-pilot to interact with it.
The back end constantly prints out the crap below:
```bash
{"function":"launch_slot_with_data","id_slot":0,"id_task":2842,"level":"INFO","line":1002,"msg":"slot is processing task","tid... | {
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} | Replaces #7009 now on main
Support local builds with customized CPU flags for both the CPU runner, and GPU runners.
Some users want no vector flags in the GPU runners. Others want ~all the vector extensions enabled. Each runner we add to the official build adds significant overhead (size and build time) so this e... | {
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While it can be ignored for simpler uses, any form of reasoning, especially with a tiny model, requires beam search to backtrack from incorrect steps.
llama.cpp already supports beam search,... | null | {
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Hello!
My problem may be similar to issue 7568. I think there is a problem with the distribution of the LLaMa 3.2 90B model across multiple GPUs. When it runs on a single GPU (quantized), it works. But when it runs on multiple GPUs, it crashes.
In my server running Linux Debian Bookworm an... | {
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Resolves https://github.com/ollama/ollama/issues/4410
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"node_id": "LA_kwDOJ0Z1Ps8AAAABjgCVsw... | closed | false | null | [] | null | 1 | 2024-04-19T01:24:24 | 2024-08-11T22:52:36 | 2024-08-11T22:52:35 | NONE | {
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} | null | null | null | ### What is the issue?
Downloading of models on slow networks stops too frequently
(base) igor@macigor ~ % ollama run llava:7b
pulling manifest
pulling 170370233dd5... 23% ▕███ ▏ 959 MB/4.1 GB 882 KB/s 59m29s
Error: max retries exceeded: Get "https://dd20bb891979d25aebc8bec07b2b3bbc.r2.cloudflare... | {
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https://api.github.com/repos/ollama/ollama/issues/7269 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7269/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7269/comments | https://api.github.com/repos/ollama/ollama/issues/7269/events | https://github.com/ollama/ollama/issues/7269 | 2,598,930,671 | I_kwDOJ0Z1Ps6a6Ijv | 7,269 | You want to be able to customize the OLLAMA installation directory | {
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I tried to use the OLLAMA variable setting, but it didn't work and the OLLAMA was installed on the C drive.
It's even better if you... | {
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https://api.github.com/repos/ollama/ollama/issues/5520 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5520/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5520/comments | https://api.github.com/repos/ollama/ollama/issues/5520/events | https://github.com/ollama/ollama/pull/5520 | 2,393,773,992 | PR_kwDOJ0Z1Ps50mVFp | 5,520 | llm: add `-DBUILD_SHARED_LIBS=off` to common cpu cmake flags | {
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https://api.github.com/repos/ollama/ollama/issues/7769 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7769/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7769/comments | https://api.github.com/repos/ollama/ollama/issues/7769/events | https://github.com/ollama/ollama/issues/7769 | 2,677,200,814 | I_kwDOJ0Z1Ps6fkteu | 7,769 | Request: Nexa AI Omnivision | {
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https://huggingface.co/NexaAIDev/omnivision-968M | null | {
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https://api.github.com/repos/ollama/ollama/issues/3999 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3999/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3999/comments | https://api.github.com/repos/ollama/ollama/issues/3999/events | https://github.com/ollama/ollama/issues/3999 | 2,267,446,167 | I_kwDOJ0Z1Ps6HJnuX | 3,999 | could not connect to ollama app | {
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could not connect to ollama app，is it running？
it always happen even reinstall ollama
### OS
Windows
### GPU
Nvidia
### CPU
AMD
### Ollama version
_No response_ | {
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https://api.github.com/repos/ollama/ollama/issues/462 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/462/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/462/comments | https://api.github.com/repos/ollama/ollama/issues/462/events | https://github.com/ollama/ollama/pull/462 | 1,879,186,581 | PR_kwDOJ0Z1Ps5ZbW3F | 462 | remove marshalPrompt which is no longer needed | {
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https://api.github.com/repos/ollama/ollama/issues/1039 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1039/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1039/comments | https://api.github.com/repos/ollama/ollama/issues/1039/events | https://github.com/ollama/ollama/issues/1039 | 1,982,834,018 | I_kwDOJ0Z1Ps52L6Vi | 1,039 | Fail to load Custom Models | {
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I want to load a custom gguf model [TheBloke/deepseek-coder-6.7B-instruct-GGUF](https://huggingface.co/TheBloke/deepseek-coder-6.7B-instruct-GGUF)
ModelFile is:
```
FROM ./deepseek-coder-6.7b-instruct.Q4_K_M.gguf
```
But when I do build, it reports a error for me.
```
% ollama create amodel -f ./Modelfi... | {
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https://api.github.com/repos/ollama/ollama/issues/3012 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3012/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3012/comments | https://api.github.com/repos/ollama/ollama/issues/3012/events | https://github.com/ollama/ollama/issues/3012 | 2,176,710,344 | I_kwDOJ0Z1Ps6BvfbI | 3,012 | Scoop repo, NIX repo & Debian repo | {
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https://api.github.com/repos/ollama/ollama/issues/966 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/966/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/966/comments | https://api.github.com/repos/ollama/ollama/issues/966/events | https://github.com/ollama/ollama/pull/966 | 1,973,293,095 | PR_kwDOJ0Z1Ps5eYgin | 966 | fix log | {
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I am using ollama on Apple Mac M2 Ultra. i am getting same problem for past two days. i delete all my models, i uninstalled ollama and reinstall again and sometimes it will work and most of the times it will get some weird response.
![ollama](https://github.com/ollama/ollama/assets/82636823/... | {
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https://api.github.com/repos/ollama/ollama/issues/2355 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2355/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2355/comments | https://api.github.com/repos/ollama/ollama/issues/2355/events | https://github.com/ollama/ollama/pull/2355 | 2,117,382,556 | PR_kwDOJ0Z1Ps5l9foV | 2,355 | Fit and finish, clean up cruft on uninstall | {
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} | Better job cleaning up, logging improvements, and now spawn a powershell window on first use to help users with their first run | {
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https://api.github.com/repos/ollama/ollama/issues/4836 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4836/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4836/comments | https://api.github.com/repos/ollama/ollama/issues/4836/events | https://github.com/ollama/ollama/issues/4836 | 2,336,201,826 | I_kwDOJ0Z1Ps6LP5xi | 4,836 | llama runner process has terminated: exit status 127 | {
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When i try running ollama run codestral or any other LLM, I keep getting the same status 127 error!
Is there a way to fix this?
I'm running EndeavourOs Arch linux.
### OS
Linux
### GPU
AMD
### CPU
AMD
### Ollama version
0.1.41 | {
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https://api.github.com/repos/ollama/ollama/issues/1351 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1351/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1351/comments | https://api.github.com/repos/ollama/ollama/issues/1351/events | https://github.com/ollama/ollama/issues/1351 | 2,021,989,565 | I_kwDOJ0Z1Ps54hRy9 | 1,351 | Quitting ollama completely | {
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```
$ nvidia-smi -q -d MEMORY
==============NVSMI LOG==============
Timestamp : Sat Dec 2 17:39:41 2023
Driver Version ... | {
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https://api.github.com/repos/ollama/ollama/issues/8667 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8667/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8667/comments | https://api.github.com/repos/ollama/ollama/issues/8667/events | https://github.com/ollama/ollama/issues/8667 | 2,818,555,937 | I_kwDOJ0Z1Ps6n_8Ah | 8,667 | deepseek-r1:671b Q4_K_M: error="model requires more system memory (446.3 GiB) than is available | {
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I’m reaching out for some advice on running the DeepSeek-R1 671B model with Q4 quantization on my current setup, which has 40GB of RAM. I understand that this model employs a Mixture of Experts (MoE) architecture, meaning that during inference, only a subset of the model’s parameters (approximate... | null | {
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} | If Ollama is installed via brew or the user wishes to manage their path manually they will be prompted to install the CLI when opening the Ollama Mac app. This change attempts to check if Ollama is already set in the path, and if it is found the user is not prompted to link the executable to `/usr/local/bin/ollama`.
... | null | {
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- corrupt files
- empty (zero byte) files
- unsupported file extensions | {
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Often doesn't stop generating...
PARAMETER stop <|endoftext|>
seems to be missing in the model configuration. Adding it solved the problem.
### ... | null | {
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When you install using the install script on openSUSE Tumbleweed, the script fails because the adduser command with the -m does not create the directory /usr/share/ollama, it merely assigns that directory to the ollama user.
I had Claude Sonnet go over the install script line by line explain... | {
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FROM llama2:13b-chat
PARAMETER temperature 0.2
PARAMETER num_ctx 4096
PARAMETER num_thread 16
PARAMETER use_mmap False
System config :
Ram 108 GB
T4 graphics card 16 gb
![Screenshot from 2024-02-25 17-57-04](https://github.com/ollama/ollama/assets/127822235/24854715-93... | {
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- [ ] MacPorts
- [ ] Apt
- [ ] Scoop
- [ ] Nix
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https://api.github.com/repos/ollama/ollama/issues/7962 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7962/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7962/comments | https://api.github.com/repos/ollama/ollama/issues/7962/events | https://github.com/ollama/ollama/pull/7962 | 2,721,806,387 | PR_kwDOJ0Z1Ps6EQl5A | 7,962 | Update readmes for structured outputs | {
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https://api.github.com/repos/ollama/ollama/issues/5264 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5264/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5264/comments | https://api.github.com/repos/ollama/ollama/issues/5264/events | https://github.com/ollama/ollama/issues/5264 | 2,371,495,406 | I_kwDOJ0Z1Ps6NWiXu | 5,264 | How to use the .mf model configuration file to register a customize vision-language model in Ollama | {
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FROM /root/llava-llama-3-8b-v1_1-gguf/llava-llama-3-8b-v1_1-f16.gguf
TEMPLATE """
{{ if .System }}<|start_header_id|>system<|end_header_id|>
{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>
{{ .Prompt }}<|eot_id|>{{ end }}<|star... | null | {
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https://api.github.com/repos/ollama/ollama/issues/254 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/254/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/254/comments | https://api.github.com/repos/ollama/ollama/issues/254/events | https://github.com/ollama/ollama/issues/254 | 1,832,129,526 | I_kwDOJ0Z1Ps5tNBP2 | 254 | Streaming llama output | {
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} | null | null | null | @jmorganca @mxyng Testing llama2 output after building and serving the model and with the example `why the sky is blue` I noticed that the streaming does not work correctly. Using the curl or python requests either on ubuntu 22.04
I got something like:
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I have a server with dual A100 GPUs and a server with a single V100 GPU. Knowing the IP addresses, ports, and passwords of both servers, I want to use Ollama’s parallel inference functionality to perform a single inference request on the llama3.1-70B model. How can I achieve optimal performance for a sin... | {
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https://api.github.com/repos/ollama/ollama/issues/2741 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2741/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2741/comments | https://api.github.com/repos/ollama/ollama/issues/2741/events | https://github.com/ollama/ollama/issues/2741 | 2,152,705,000 | I_kwDOJ0Z1Ps6AT6vo | 2,741 | Using embedding and llm at the same time | {
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https://api.github.com/repos/ollama/ollama/issues/6532 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6532/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6532/comments | https://api.github.com/repos/ollama/ollama/issues/6532/events | https://github.com/ollama/ollama/pull/6532 | 2,490,425,013 | PR_kwDOJ0Z1Ps55oM7z | 6,532 | add safetensors to the modelfile docs | {
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https://api.github.com/repos/ollama/ollama/issues/4114 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4114/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4114/comments | https://api.github.com/repos/ollama/ollama/issues/4114/events | https://github.com/ollama/ollama/issues/4114 | 2,276,740,449 | I_kwDOJ0Z1Ps6HtE1h | 4,114 | `ollama create` tries to pull model when using quotes in `FROM` line | {
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Steps to reproduce:
1. Download and install [Ollama v0.1.33 from release page](https://github.com/ollama/ollama/releases/tag/v0.1.33)
2. Download any gguf file and make a modelfile for the gguf file (for example, im using hermes 2 pro):
Modelfile
```
FROM "./Hermes-2-Pro-Mistr... | {
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https://api.github.com/repos/ollama/ollama/issues/56 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/56/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/56/comments | https://api.github.com/repos/ollama/ollama/issues/56/events | https://github.com/ollama/ollama/pull/56 | 1,794,116,306 | PR_kwDOJ0Z1Ps5U8rWu | 56 | if directory cannot be resolved, do not fail | {
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"followers_url": "https://api.github.com/users/Br... | [] | closed | false | null | [] | null | 1 | 2023-07-07T19:28:14 | 2023-07-11T14:19:32 | 2023-07-08T03:18:25 | CONTRIBUTOR | {
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https://api.github.com/repos/ollama/ollama/issues/2782 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2782/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2782/comments | https://api.github.com/repos/ollama/ollama/issues/2782/events | https://github.com/ollama/ollama/issues/2782 | 2,156,791,878 | I_kwDOJ0Z1Ps6AjghG | 2,782 | Why the Gemma performs that bad with some simple questions? | {
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"followers_url": "https://api.gith... | [] | closed | false | null | [] | null | 4 | 2024-02-27T14:50:45 | 2024-05-10T01:14:33 | 2024-05-10T01:14:32 | NONE | {
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} | null | null | null | Just tried `Gemma` model but not sure why it performed that bad.
```sh
ollama pull gemma:2b
ollama run gemma:2b
```
**So is it the model issue or the model hosted here is different?**
For example - this should be a common-sense question but it has no idea:
```
>>> Do you think whether human can fly? Tell ... | {
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https://api.github.com/repos/ollama/ollama/issues/2928 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2928/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2928/comments | https://api.github.com/repos/ollama/ollama/issues/2928/events | https://github.com/ollama/ollama/issues/2928 | 2,168,587,625 | I_kwDOJ0Z1Ps6BQgVp | 2,928 | Error: could not connect to ollama app, is it running? | {
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```
Ubuntu： ~ $ curl -fsSL https://ollama.com/install.sh | sh
>>> Downloading ollama...
######################################################################## 100.0%#=... | {
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https://api.github.com/repos/ollama/ollama/issues/4157 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4157/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4157/comments | https://api.github.com/repos/ollama/ollama/issues/4157/events | https://github.com/ollama/ollama/issues/4157 | 2,279,259,620 | I_kwDOJ0Z1Ps6H2r3k | 4,157 | Bunny-Llama-3-8B-V | {
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} | null | null | null | Would love to see: [Bunny-Llama-3-8B-V](https://huggingface.co/BAAI/Bunny-Llama-3-8B-V) included in the Ollama models.
> Bunny is a family of lightweight but powerful multimodal models. It offers multiple plug-and-play vision encoders, like EVA-CLIP, SigLIP and language backbones, including Llama-3-8B, Phi-1.5, Stab... | null | {
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https://api.github.com/repos/ollama/ollama/issues/6602 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6602/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6602/comments | https://api.github.com/repos/ollama/ollama/issues/6602/events | https://github.com/ollama/ollama/issues/6602 | 2,502,088,293 | I_kwDOJ0Z1Ps6VItZl | 6,602 | n_ctx parameter display error | {
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```log
FROM mistral:latest
PARAMETER num_ctx 4096
```
and load with:
```log
ollama create mistral:latest-nctx4096 -f Modelfile
ollama run mistral:latest-nctx4096
```
setting `n_ctx` to 4096, it is discovered that on the server end `n_ctx` is wrongly displayed as `16384`:
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https://api.github.com/repos/ollama/ollama/issues/5045 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5045/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5045/comments | https://api.github.com/repos/ollama/ollama/issues/5045/events | https://github.com/ollama/ollama/pull/5045 | 2,353,703,341 | PR_kwDOJ0Z1Ps5ygAj8 | 5,045 | openai: do not set temperature to 0 when setting seed | {
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} | `tempearture` was previously set to 0 for reproducible outputs when setting seed, however this is not required
Note https://github.com/ollama/ollama/issues/4990 is still an open issue on Nvidia/AMD GPUs
Fixes https://github.com/ollama/ollama/issues/5044 | {
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https://api.github.com/repos/ollama/ollama/issues/795 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/795/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/795/comments | https://api.github.com/repos/ollama/ollama/issues/795/events | https://github.com/ollama/ollama/issues/795 | 1,944,162,393 | I_kwDOJ0Z1Ps5z4ZBZ | 795 | Unable to download any models on Amazon Linux 2023 on EC2 | {
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```
curl https://ollama.ai/install.sh | sh
```
However, when I try to run `ollama pull medllama2` it ... | {
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Deepseek V2, V2.5, and V2-coder all crash with an OOM error when loading the 236b size. Other versions of Deepseek may as well, that's all I've tested. Hardware is dual A6000's with 48GB each.
```
Error: llama runner process has terminated: cudaMalloc failed: out of memory
ggml_gallocr_... | {
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https://api.github.com/repos/ollama/ollama/issues/6241 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6241/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6241/comments | https://api.github.com/repos/ollama/ollama/issues/6241/events | https://github.com/ollama/ollama/pull/6241 | 2,454,274,622 | PR_kwDOJ0Z1Ps53wWsa | 6,241 | Speech Prototype | {
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} | whisper.cpp - custom ggml, wav audio
Instructions for running in md
As of now would require conversion to ggml format to run inference, would wait to see the general momentum surrounding speech-to-text models as bigger players release foundational models. | {
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https://api.github.com/repos/ollama/ollama/issues/6372 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6372/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6372/comments | https://api.github.com/repos/ollama/ollama/issues/6372/events | https://github.com/ollama/ollama/issues/6372 | 2,468,038,732 | I_kwDOJ0Z1Ps6TG0hM | 6,372 | System tray icon is empty | {
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In the image below, you'll notice that the hover bubble for the Ollama system tray icon is empty. In contrast, other apps display the application's name when you hover over their icons.
### OS
Window... | {
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https://api.github.com/repos/ollama/ollama/issues/1046 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1046/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1046/comments | https://api.github.com/repos/ollama/ollama/issues/1046/events | https://github.com/ollama/ollama/issues/1046 | 1,984,002,491 | I_kwDOJ0Z1Ps52QXm7 | 1,046 | Add flag to force CPU only (instead of only autodetecting based on OS) | {
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Users on MacOS models without support for Metal can only run ollama on the CPU. Currently in llama.go the function NumGPU defaults to returning 1 (default enable metal on all MacOS) and the function chooseRunners will add metal to the runners by d... | {
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https://api.github.com/repos/ollama/ollama/issues/1610 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1610/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1610/comments | https://api.github.com/repos/ollama/ollama/issues/1610/events | https://github.com/ollama/ollama/issues/1610 | 2,049,237,003 | I_kwDOJ0Z1Ps56JOAL | 1,610 | Linux Mint ollama pull model | {
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Anyone knows where the model downloaded? | {
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https://api.github.com/repos/ollama/ollama/issues/62 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/62/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/62/comments | https://api.github.com/repos/ollama/ollama/issues/62/events | https://github.com/ollama/ollama/pull/62 | 1,795,815,924 | PR_kwDOJ0Z1Ps5VCShs | 62 | llama: replace bindings with `llama_*` calls | {
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} | Early PR to replace the C++ binding files with direct calls to llama.cpp from Go. It's missing quite a few features the C++ `binding.cpp` files had although those were almost direct copies of the `main` example in llama.cpp's repo. We should be able to add them back relatively easily. It's most likely slower as well so... | {
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https://api.github.com/repos/ollama/ollama/issues/5157 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5157/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5157/comments | https://api.github.com/repos/ollama/ollama/issues/5157/events | https://github.com/ollama/ollama/issues/5157 | 2,363,401,313 | I_kwDOJ0Z1Ps6M3qRh | 5,157 | Update llama.cpp to support qwen2-57B-A14B pls | {
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llama.cpp is able to support qwen2-57B-A14B moe model now via https://github.com/ggerganov/llama.cpp/pull/7835. Please help update submodule llama.cpp to a newer version. Otherwise i quants of this model(I tried iq4_xs) would end up with a `CUDA error: CUBLAS_STATUS_NOT_INITIALIZED`.
### OS
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https://api.github.com/repos/ollama/ollama/issues/6291 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6291/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6291/comments | https://api.github.com/repos/ollama/ollama/issues/6291/events | https://github.com/ollama/ollama/pull/6291 | 2,458,500,400 | PR_kwDOJ0Z1Ps53-pxJ | 6,291 | Don't hard fail on sparse setup error | {
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} | It seems this can fail in some casees, but proceed with the download anyway.
I haven't reproduced the users failure, but based on the log message and the recent regression, this seems highly likely to be the cause.
Fixes #6263 | {
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Type `ollama show gemma:7b`: the parameters are 9b, not 7b.
### OS
_No response_
### GPU
_No response_
### CPU
_No response_
### Ollama version
_No response_ | {
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```
>>> Installing ollama to /usr
No superuser binary detected.
Are you rooted?
``` | null | {
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This is a... | {
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https://api.github.com/repos/ollama/ollama/issues/4645 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4645/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4645/comments | https://api.github.com/repos/ollama/ollama/issues/4645/events | https://github.com/ollama/ollama/issues/4645 | 2,317,477,611 | I_kwDOJ0Z1Ps6KIebr | 4,645 | 3 GPUs, 2xNVIDIA and 1x AMD onboard - Can I force Python3 to use AMD, and Ollama to use 2xNVIDIA | {
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1x Asus TUF GAMING B650-PLUS ATX with onboard AMD GPU
2x 16GD6 ASUS RTX4060Ti ProArt OC
When looking at nvidia-smi, I can see that one of the RTX4060 is dedicated to Ollama, and the other to python3 (Automatic1111).
I have tried the "export CUDA_VISIBLE_DEVICES=0,1 " command, but seems as long a... | null | {
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Load any model, for example gemma2:27b
OLLAMA_KEEP_ALIVE: -1
command: **ollama run gemma2:27b --verbose**
message: **tell me about amd**
**1 iteration**
total duration: 12.9263992s
load duration: 32.8561ms
prompt eval count: **13 token(s)** <----
prompt eval duration:... | {
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Both Adrenalin Edition drivers (24.9.1 and 24.10.1) significantly slows windows performance. GPU acceleration appears disabled.
No issues with ollama on Adrenalin 24.8.1 (slightly older driver)
My system
Windows 11 24H2
GPU: RX6800 XT
CPU: Ryzen 5900XT
32GB RAM
Ollama version: Lates... | null | {
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} | [OpenAOE](https://github.com/InternLM/OpenAOE) is a LLM Group Chat Framework: chat with multiple LLMs at the same time.
Now the mistral-7b and gemma-7b models are added into OpenAOE under Ollama inference.
![image](h... | {
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I have a model that I have configured to fit almost exactly into my 4090's VRAM. Prior to v 0.1.13, this model ran fine, and I could fit all layers into VRAM and fill the context. It would utilize a total of 23697MiB (which gave about 9... | {
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} | update cmd help too | {
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time=2024-10-29T03:23:31.503Z level=INFO source=server.go:621 msg="waiting for server to become available" status="llm server not responding"
llama_new_context_with_model: n_ctx = 16384
llama_new_context_with_model: n_batch = 512
llama_new_context_with_model: n_ubatch = 512
llama_n... | {
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https://api.github.com/repos/ollama/ollama/issues/8529 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8529/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8529/comments | https://api.github.com/repos/ollama/ollama/issues/8529/events | https://github.com/ollama/ollama/issues/8529 | 2,803,321,089 | I_kwDOJ0Z1Ps6nF0kB | 8,529 | feat: OpenAI reasoning_content compatibility | {
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} | Currently, if an error occurs during the prep stages (such as tokenizing) of a single request, it will only affect that request. However, if an error happens during decoding, it can take down the entire runner.
Instead, it's better to drop the tokens that triggered the error and try to keep going. However, we also n... | {
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utils.py 328 : Failed to get max tokens for LLM with name qwen2:7b-instruct-fp16. Defaulting to 4096.
api_server-1 | Traceback (most recent call last):
api_server-1 | File "/app/danswer/llm/utils.py", line 318, in get_llm_max_... | {
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https://api.github.com/repos/ollama/ollama/issues/2806 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2806/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2806/comments | https://api.github.com/repos/ollama/ollama/issues/2806/events | https://github.com/ollama/ollama/issues/2806 | 2,158,720,761 | I_kwDOJ0Z1Ps6Aq3b5 | 2,806 | How do we publicly show our model in the library? | {
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https://api.github.com/repos/ollama/ollama/issues/7552 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7552/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7552/comments | https://api.github.com/repos/ollama/ollama/issues/7552/events | https://github.com/ollama/ollama/issues/7552 | 2,640,548,513 | I_kwDOJ0Z1Ps6dY5Kh | 7,552 | How to modify n_ctx | {
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How to modify n_ctx
### OS
macOS
### GPU
Apple
### CPU
Apple
### Ollama version
0.4 | {
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https://api.github.com/repos/ollama/ollama/issues/3634 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3634/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3634/comments | https://api.github.com/repos/ollama/ollama/issues/3634/events | https://github.com/ollama/ollama/pull/3634 | 2,241,828,741 | PR_kwDOJ0Z1Ps5slIuz | 3,634 | Update README.md | {
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https://api.github.com/repos/ollama/ollama/issues/4105 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4105/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4105/comments | https://api.github.com/repos/ollama/ollama/issues/4105/events | https://github.com/ollama/ollama/issues/4105 | 2,276,400,905 | I_kwDOJ0Z1Ps6Hrx8J | 4,105 | Confusing error on linux with noexec on /tmp - Error: llama runner process no longer running: 1 | {
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I installed ollama on my ubuntu 22.04 machine using the command curl -fsSL https://ollama.com/install.sh | sh
I ran : ollama run llama3 and got this error:
Error: llama runner process no longer running: 1
Can someone help me resolve it?
### OS
Linux
### GPU
Nvidia
### CPU
Intel
##... | {
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https://api.github.com/repos/ollama/ollama/issues/1862 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1862/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1862/comments | https://api.github.com/repos/ollama/ollama/issues/1862/events | https://github.com/ollama/ollama/issues/1862 | 2,071,706,623 | I_kwDOJ0Z1Ps57e7v_ | 1,862 | Awq mod support/awq-gguf | {
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https://api.github.com/repos/ollama/ollama/issues/2222 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2222/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2222/comments | https://api.github.com/repos/ollama/ollama/issues/2222/events | https://github.com/ollama/ollama/issues/2222 | 2,103,082,752 | I_kwDOJ0Z1Ps59Wn8A | 2,222 | Add LLaVAR model | {
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I've set up SSL for Ollama following these steps:
### Configuring SSL
1. Obtain an SSL certificate and a private key. You can acquire these from a Certificate Authority (CA) or generate a self-signed certificate (not recommended for production use).
2. Place the certificate and key files ... | {
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