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Hi All,
I installed ollama both (on machine/docker) both with same behaviour of not detecting the GPU. Have LM Studio on the same machine which picks up GPU without any issues.
```
root@d50a3f8d8474:/# ollama run phi3.5:3.8b-mini-instruct-q2_K ""
root@d50a3f8d8474:/# ollama ps
NAME ... | null | {
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ollama run starcoder2:15b
Error: Post "http://127.0.0.1:11434/api/chat": EOF | {
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"followers_url": "https://api.gi... | null | 1 | 2024-06-24T08:46:38 | 2024-06-25T16:19:14 | 2024-06-25T16:18:58 | CONTRIBUTOR | {
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} | null | null | null | ### What is the issue?
cant install this in steam os 3
i think this is the issue for fedora silverblue like os opensuse aeon also
### OS
Linux
### GPU
AMD
### CPU
AMD
### Ollama version
_No response_ | {
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} | Hey everyone! I've recently been working on an extension for Word that aims to be a local, privacy-friendly alternative to Microsoft 365 Copilot by utilizing Ollama as the backend. I would like to introduce TextCraft, which is an add-in for Word that seamlessly integrates essential AI tools, including text generation, ... | {
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With this curl command:
```
curl http://localhost:11434/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{"model":"mistral-nemo:12b-instruct-2407-fp16",
"messages": [
{
"role": "user",
"content": "What is the weather like in Boston?"
}
],
"to... | null | {
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https://api.github.com/repos/ollama/ollama/issues/4253 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4253/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4253/comments | https://api.github.com/repos/ollama/ollama/issues/4253/events | https://github.com/ollama/ollama/issues/4253 | 2,284,818,276 | I_kwDOJ0Z1Ps6IL49k | 4,253 | A repeatable hang issue on Linux - dual radeon | {
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"total": 0,
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} | null | null | null | ### What is the issue?
Experience a hang issue consistently.
Device information:
OS: Ubuntu, CPU: AMD Threadripper [AMD Ryzen Threadripper 7960X, 24 Cores, 48 Threads, 4.2GHz Base, 5.3GHz Turbo], Memory: 256GB RAM, Two GPUs: AMD RX 7900XTX + AMD RX 7900XTX
To reproduce the hang issue:
1. ollama run command... | {
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} | null | null | null | ### What is the issue?
My GPU is old (GTX 1070) with 8GB, but should still be enough for running a model based on Phi 3 Mini? [This one ](https://huggingface.co/v8karlo/UNCENSORED-Phi-3-mini-4k-geminified-Q4_K_M-GGUF)
Unfortunately what happens is 'ollama ps' says 20 GB 63%/37% CPU/GPU + C:/ drive instantly gets ... | {
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I ran ollama on a server with 4x A100. It only uses 1 of them. Is there some setting need to be changed? Thanks
### OS
Linux
### GPU
Nvidia
### CPU
Intel
### Ollama version
... | {
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Testing adding configuration to allow setting the KV cache type re: #5091
---
- Allow setting the KV cache type in the env and params.
- Allow setting flashattention in params (as well as the existing env). | {
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https://api.github.com/repos/ollama/ollama/issues/637 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/637/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/637/comments | https://api.github.com/repos/ollama/ollama/issues/637/events | https://github.com/ollama/ollama/pull/637 | 1,918,203,306 | PR_kwDOJ0Z1Ps5bex-l | 637 | windows runner fixes | {
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- https://github.com/togethercomputer/OpenChatKit
- https://huggingface.co/togethercomputer/LLaMA-2-7B-32K | {
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https://api.github.com/repos/ollama/ollama/issues/1365 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1365/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1365/comments | https://api.github.com/repos/ollama/ollama/issues/1365/events | https://github.com/ollama/ollama/issues/1365 | 2,022,633,560 | I_kwDOJ0Z1Ps54jvBY | 1,365 | llama_print_timings have disappeared from the logs. | {
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e.g. this:
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Dec 03 14:58:42 osm-server ollama[20658]: llama server listening at http://127.0.0.1:54457
Dec 03... | {
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I think the current AMD ROCm doesn’t work well with multiple video cards. I have an XTX 7900 (24GB) and an XT 7900 (20GB). My processor also has a small integrated GPU, but that shouldn’t be a problem.
When I try to load the model llama3.1:70b (39GB):
1. It doesn’t crash, but it has an infinite load ti... | null | {
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split from #2753
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https://api.github.com/repos/ollama/ollama/issues/4932 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4932/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4932/comments | https://api.github.com/repos/ollama/ollama/issues/4932/events | https://github.com/ollama/ollama/issues/4932 | 2,341,666,209 | I_kwDOJ0Z1Ps6Lkv2h | 4,932 | Cant see installed models | {
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I have 7 models installed and was using them till yesterday.
But now it re-tries to download them, even i have all manifests files and my blobs folder is over 18 GB.
After shutdown and restart of WSL, ollama is not running and i m trying with ollama serve cmd
### OS
Windows
### ... | {
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Problem is program outputs weird text if the program experiences commands that are not in the program list. This should result in an error message instead of a never ending loop of erraneous output. This should be handled better instead of forcing the process to close using ctr + c.
`>>> e... | {
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https://api.github.com/repos/ollama/ollama/issues/4153 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4153/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4153/comments | https://api.github.com/repos/ollama/ollama/issues/4153/events | https://github.com/ollama/ollama/pull/4153 | 2,279,118,097 | PR_kwDOJ0Z1Ps5ujE7R | 4,153 | Add GPU usage | {
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} | Help users understand how much of the model fit into their GPU without having to resort to inspecting the server log
A few examples from different systems and models
```
eval rate: 4.40 tokens/s
gpu usage: 1 GPU (14/27 layers) 3.2 GB (2.0 GB GPU)
eval rate: 6.64 tokens/s
gpu... | {
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https://api.github.com/repos/ollama/ollama/issues/5187 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5187/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5187/comments | https://api.github.com/repos/ollama/ollama/issues/5187/events | https://github.com/ollama/ollama/pull/5187 | 2,364,767,566 | PR_kwDOJ0Z1Ps5zF1G4 | 5,187 | fix: skip os.removeAll() in assets.go if no PID | {
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Resolves: https://github.com/ollama/ollama/issues/5129 | {
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I just setup Ollama on a fresh machine and am running into an issue starting Ollama on larger models.
I am running Ubuntu 22.04.4 LTS with 2 Nvidia Tesla P40 GPUs with Driver Version: 535.161.08 and CUDA Version: 12.2.
Small 8b models work great and have no issues but when I try something ... | {
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https://api.github.com/repos/ollama/ollama/issues/8110 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8110/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8110/comments | https://api.github.com/repos/ollama/ollama/issues/8110/events | https://github.com/ollama/ollama/issues/8110 | 2,741,302,826 | I_kwDOJ0Z1Ps6jZPYq | 8,110 | Support llama.cpp's Control Vector Functionality | {
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They can be loaded via `llama_control_vector_load` and `llama_control_vector_apply` which can take a vector in the form of a `.gguf`
https://github.com/ollama/ollama/blob/main/llama/common.h#L645
https://gith... | null | {
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https://api.github.com/repos/ollama/ollama/issues/3494 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3494/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3494/comments | https://api.github.com/repos/ollama/ollama/issues/3494/events | https://github.com/ollama/ollama/pull/3494 | 2,226,051,077 | PR_kwDOJ0Z1Ps5rvMkF | 3,494 | Fail fast if mingw missing on windows | {
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https://api.github.com/repos/ollama/ollama/issues/4974 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4974/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4974/comments | https://api.github.com/repos/ollama/ollama/issues/4974/events | https://github.com/ollama/ollama/issues/4974 | 2,345,961,529 | I_kwDOJ0Z1Ps6L1Ig5 | 4,974 | panic: runtime error: invalid memory address or nil pointer dereference | {
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I am using Tesla M60, which is on the GPU card support list. However, when I execute the following command to start the model, an error is reported as follows.
```
# ollama run qwen:7b
Error: Post "http://127.0.0.1:11434/api/chat": EOF
```
The log is as follows:
![image](https://github.co... | {
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https://api.github.com/repos/ollama/ollama/issues/860 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/860/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/860/comments | https://api.github.com/repos/ollama/ollama/issues/860/events | https://github.com/ollama/ollama/issues/860 | 1,954,877,675 | I_kwDOJ0Z1Ps50hRDr | 860 | bug: the `-v` for `--version` should be capital `-V` | {
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big `-V` is for `--version` (little `-v` is for `--verbose`)
| {
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https://api.github.com/repos/ollama/ollama/issues/7010 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7010/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7010/comments | https://api.github.com/repos/ollama/ollama/issues/7010/events | https://github.com/ollama/ollama/pull/7010 | 2,553,850,810 | PR_kwDOJ0Z1Ps58-L8j | 7,010 | llama: Fix directory for conditional flash attention patch | {
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https://api.github.com/repos/ollama/ollama/issues/523 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/523/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/523/comments | https://api.github.com/repos/ollama/ollama/issues/523/events | https://github.com/ollama/ollama/issues/523 | 1,894,010,611 | I_kwDOJ0Z1Ps5w5E7z | 523 | LLM falcon:text infinity loop | {
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I was trying to run falcon, but it responds ... weired.
Setup recipe.
```
git clone https://github.com/jmorganca/ollama
cd .\ollama
mkdir ..\.ollama
go generate .\...
go build .
```
Then, start the server component of ollama.
`start "Ollama server component" ollama.exe serve`
Download the select... | {
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https://api.github.com/repos/ollama/ollama/issues/3441 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3441/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3441/comments | https://api.github.com/repos/ollama/ollama/issues/3441/events | https://github.com/ollama/ollama/issues/3441 | 2,218,582,612 | I_kwDOJ0Z1Ps6EPOJU | 3,441 | Download/Archive and move models offline | {
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} | null | null | null | ### What are you trying to do?
I would like to be able to move ollama models between environments that are offline. There does not seem to be a supported official way to do this.
### How should we solve this?
An ollama archive command would be great! Then the user could just ollama pull from the path the arc... | {
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https://api.github.com/repos/ollama/ollama/issues/2051 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2051/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2051/comments | https://api.github.com/repos/ollama/ollama/issues/2051/events | https://github.com/ollama/ollama/issues/2051 | 2,088,450,843 | I_kwDOJ0Z1Ps58ezsb | 2,051 | Mixtral : How to connect to the Web | {
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"total": 0,
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I want to modify scipt to get this service, but I can't find the docker id or name that run Mixtral instance.
sudo docker ps return nothing while Mixtral is running.
Is there somthing I don't understand ?
Thx for any help.
Linux Pop Os | {
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https://api.github.com/repos/ollama/ollama/issues/3651 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3651/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3651/comments | https://api.github.com/repos/ollama/ollama/issues/3651/events | https://github.com/ollama/ollama/pull/3651 | 2,243,436,782 | PR_kwDOJ0Z1Ps5sqeHc | 3,651 | If OLLAMA_CONTAINER_MANAGER is set, only install NVIDIA drivers | {
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} | If installing for containerized environment, we should not have to install ollama binary, configure systemd, install rocm, etc.
Intended to be run like this:
curl -fsSL https://ollama.com/install.sh | OLLAMA_CONTAINER_MANAGER=podman sh | null | {
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https://api.github.com/repos/ollama/ollama/issues/3142 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3142/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3142/comments | https://api.github.com/repos/ollama/ollama/issues/3142/events | https://github.com/ollama/ollama/pull/3142 | 2,186,567,894 | PR_kwDOJ0Z1Ps5ppF8X | 3,142 | doc: faq gpu compatibility | {
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https://api.github.com/repos/ollama/ollama/issues/13 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/13/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/13/comments | https://api.github.com/repos/ollama/ollama/issues/13/events | https://github.com/ollama/ollama/pull/13 | 1,779,612,155 | PR_kwDOJ0Z1Ps5ULXaq | 13 | update development.md | {
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https://api.github.com/repos/ollama/ollama/issues/1838 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1838/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1838/comments | https://api.github.com/repos/ollama/ollama/issues/1838/events | https://github.com/ollama/ollama/issues/1838 | 2,069,059,120 | I_kwDOJ0Z1Ps57U1Yw | 1,838 | Cuda Error with 2GB VRAM: `Error: Post "http://127.0.0.1:11434/api/generate": EOF` | {
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[logs_ollama.txt](https://github.com/jmorganca/ollama/files/13852832/logs_ollama.txt)
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https://api.github.com/repos/ollama/ollama/issues/6061 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6061/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6061/comments | https://api.github.com/repos/ollama/ollama/issues/6061/events | https://github.com/ollama/ollama/issues/6061 | 2,436,319,840 | I_kwDOJ0Z1Ps6RN0pg | 6,061 | [Feature Request] Force function calling for a model | {
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https://api.github.com/repos/ollama/ollama/issues/2096 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2096/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2096/comments | https://api.github.com/repos/ollama/ollama/issues/2096/events | https://github.com/ollama/ollama/issues/2096 | 2,090,734,716 | I_kwDOJ0Z1Ps58nhR8 | 2,096 | How is Tinyllama on Ollama trained? | {
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https://api.github.com/repos/ollama/ollama/issues/3765 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3765/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3765/comments | https://api.github.com/repos/ollama/ollama/issues/3765/events | https://github.com/ollama/ollama/issues/3765 | 2,253,970,292 | I_kwDOJ0Z1Ps6GWNt0 | 3,765 | CUDA error: out of memory - other VRAM consumers not detected in available memory | {
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When I try the llama3 model I get out of memory errors. I have 64GB of RAM and 24GB on the GPU.
```
❯ ollama run llama3:70b-instruct-q2_K --verbose "write a constexpr GCD that is not recursive in C++17"
Error: an unknown error was encountered while running the model CUDA error: out of memo... | {
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https://api.github.com/repos/ollama/ollama/issues/8319 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8319/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8319/comments | https://api.github.com/repos/ollama/ollama/issues/8319/events | https://github.com/ollama/ollama/pull/8319 | 2,770,591,352 | PR_kwDOJ0Z1Ps6G0bib | 8,319 | Add Safetensor Conversion for Granite Models | {
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https://api.github.com/repos/ollama/ollama/issues/1430 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1430/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1430/comments | https://api.github.com/repos/ollama/ollama/issues/1430/events | https://github.com/ollama/ollama/issues/1430 | 2,031,816,063 | I_kwDOJ0Z1Ps55Gw1_ | 1,430 | coda error 222 after building | {
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} | null | null | null | This might be a llama.cpp question, but I'm struggling to get Ollama to work when I build it myself.
The release builds work fine for me:
```console
$ sudo -u ollama /usr/bin/ollama serve
2023/12/07 17:52:41 images.go:779: total blobs: 10
2023/12/07 17:52:41 images.go:786: total unused blobs removed: 0
2023/... | {
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https://api.github.com/repos/ollama/ollama/issues/8662 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8662/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8662/comments | https://api.github.com/repos/ollama/ollama/issues/8662/events | https://github.com/ollama/ollama/pull/8662 | 2,818,376,666 | PR_kwDOJ0Z1Ps6JXtvk | 8,662 | Update README.md Adding DeepSeek to the table of models | {
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https://api.github.com/repos/ollama/ollama/issues/5631 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5631/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5631/comments | https://api.github.com/repos/ollama/ollama/issues/5631/events | https://github.com/ollama/ollama/pull/5631 | 2,403,403,309 | PR_kwDOJ0Z1Ps51G6eZ | 5,631 | Refactor linux packaging | {
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} | This adjusts linux to follow a similar model to windows with a discrete archive (zip/tgz) to cary the primary executable, and dependent libraries. Runners are still carried as payloads inside the main binary.
As Darwin has no significant dependent libraries, it still functions as a discrete stand-alone executable ca... | {
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Related:
* https://github.com/jmorganca/ollama/issues/1037
* https://github.com/jmorganca/ollama/issues/1097
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https://api.github.com/repos/ollama/ollama/issues/112 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/112/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/112/comments | https://api.github.com/repos/ollama/ollama/issues/112/events | https://github.com/ollama/ollama/pull/112 | 1,811,022,006 | PR_kwDOJ0Z1Ps5V18xY | 112 | resolve modelfile before passing to server | {
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https://api.github.com/repos/ollama/ollama/issues/4095 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4095/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4095/comments | https://api.github.com/repos/ollama/ollama/issues/4095/events | https://github.com/ollama/ollama/issues/4095 | 2,274,734,176 | I_kwDOJ0Z1Ps6HlbBg | 4,095 | Is there a problem with the document? | {
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Can you help me,In the documentation, I noticed the following statement: “You can set OLLAMA_LLM_LIBRARY to any of the available LLM libraries to bypass autodetection, so for example, if you have a CUDA card, but want to force the CPU LLM library with AVX2 vector support, use:
OLLAMA_LLM_LIBRAR... | {
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I can create a PR if needed | {
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} | Note we use `-DLLAMA_METAL_EMBED_LIBRARY=on` on arm64 darwin to embed ggml-metal.metal. This change also required us to prepend ggml-common.h to the top of ggml-metal.metal to avoid a runtime lookup error. | {
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https://api.github.com/repos/ollama/ollama/issues/1157 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1157/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1157/comments | https://api.github.com/repos/ollama/ollama/issues/1157/events | https://github.com/ollama/ollama/issues/1157 | 1,997,826,755 | I_kwDOJ0Z1Ps53FGrD | 1,157 | [Linux] - Instructions for exposing Ollama doesn't work | {
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https://github.com/jmorganca/ollama/blob/main/docs/faq.md#how-can-i-expose-ollama-on-my-network
For some reason when Ollama gets installed on Linux it creates:
/etc/systemd/system/ollama.service
So it seems it never processes
/etc/systemd/system/o... | {
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https://api.github.com/repos/ollama/ollama/issues/2466 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2466/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2466/comments | https://api.github.com/repos/ollama/ollama/issues/2466/events | https://github.com/ollama/ollama/pull/2466 | 2,130,496,639 | PR_kwDOJ0Z1Ps5mp7JN | 2,466 | Added NextJS web interface for Ollama models to readme.md | {
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https://api.github.com/repos/ollama/ollama/issues/2659 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2659/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2659/comments | https://api.github.com/repos/ollama/ollama/issues/2659/events | https://github.com/ollama/ollama/issues/2659 | 2,148,066,317 | I_kwDOJ0Z1Ps6ACOQN | 2,659 | Add phixtral | {
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https://huggingface.co/shadowml/phixtral-4x2_8odd | null | {
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What is happening? Not my internet, speed test blasts.
Your servers OK?
Happening on Windows version buggy still? Using latest, 0.1.27 (Win11).
As per docs, set Windows environment variable to:
OLLAMA_MODELS = D:\AI\text\ollama-models
I am familiar with environment variables and ... | {
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Seems like something is wrong with InternLM2.5, I can't get any meaningful out of it. (tried with 32k context)
### OS
Linux
### GPU
Nvidia
### CPU
AMD
### Ollama version
v0.1.48 | null | {
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https://api.github.com/repos/ollama/ollama/issues/1169 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1169/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1169/comments | https://api.github.com/repos/ollama/ollama/issues/1169/events | https://github.com/ollama/ollama/issues/1169 | 1,998,422,439 | I_kwDOJ0Z1Ps53HYGn | 1,169 | Update the model name in the api doc | {
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I followed the [Quickstart](https://github.com/jmorganca/ollama/tree/main#quickstart) to try Ollama with model Llama2. It is very easy to run and a very interesting project.
When I explored further in the [API doc](https://github.com/jmorganca/ollama/blob/main/docs/api.md), I found that t... | {
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```
===> Building for ollama-0.1.25
(cd /usr/ports/misc/ollama/work/github.com/ollama/ollama@v0.1.25; for t in ./cmd; do out=$(/usr/bin/basename $(echo ${t} | /usr/bin/sed -Ee 's/^[^:]*:([^:]+).*$/\1/' -e 's/^\.$/ollama/')); pkg=$(echo ${t} | /usr/bin/sed -Ee 's/^([^:]*).*$/\1/' -e 's/^ollama$/./'... | {
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Hi, I just updated my docker container where I run my small models to the latest version, as I use to every 15 days or so. I'm using a Quad Core CPU (no GPU) and with this new version I noticed that LLama 3.1 8b performance was very slow. I Initially thought it was a hardware issue, like overhea... | {
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https://api.github.com/repos/ollama/ollama/issues/7124 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7124/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7124/comments | https://api.github.com/repos/ollama/ollama/issues/7124/events | https://github.com/ollama/ollama/pull/7124 | 2,571,787,113 | PR_kwDOJ0Z1Ps594dhh | 7,124 | llama: Decouple patching script from submodule | {
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https://api.github.com/repos/ollama/ollama/issues/862 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/862/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/862/comments | https://api.github.com/repos/ollama/ollama/issues/862/events | https://github.com/ollama/ollama/pull/862 | 1,955,129,810 | PR_kwDOJ0Z1Ps5dbU1e | 862 | fix/Predict: A prediction should use the options sent with the request | {
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In the documentation it shows that this could be solved by set up OLLAMA_NUM_PARALLEL by systemctl commands.
How can I do this since systemctl is not included in the docker container?
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https://api.github.com/repos/ollama/ollama/issues/1499 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1499/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1499/comments | https://api.github.com/repos/ollama/ollama/issues/1499/events | https://github.com/ollama/ollama/issues/1499 | 2,039,445,848 | I_kwDOJ0Z1Ps55j3lY | 1,499 | Add mistral's new 7B-instruct-v0.2 | {
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It has 32k context instead of 8k and better benchmark scores: https://x.com/dchaplot/status/1734198245067243629?s=20
More can be found here: https://docs.mistral.ai/platform/endpoints (see "Mistral Tiny")
The w... | {
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Similar software such as Localai、xinreference already supports rerank
https://localai.io/features/reranker/
https://inference.readthedocs.io/en/latest/models/builtin/rerank/index.html
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https://api.github.com/repos/ollama/ollama/issues/6952 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6952/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6952/comments | https://api.github.com/repos/ollama/ollama/issues/6952/events | https://github.com/ollama/ollama/issues/6952 | 2,547,557,710 | I_kwDOJ0Z1Ps6X2KVO | 6,952 | codegeex4-----Error: pull model manifest | {
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when i run command "ollama run codegeex4", then print out below log,how can i slove this problem?
pulling manifest
Error: pull model manifest: Get "https://registry.ollama.ai/v2/library/codegeex4/manifests/latest": dial tcp 172.67.182.229:443: i/o timeout
### OS
Linux
### GPU
Other
##... | {
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https://api.github.com/repos/ollama/ollama/issues/6481 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6481/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6481/comments | https://api.github.com/repos/ollama/ollama/issues/6481/events | https://github.com/ollama/ollama/issues/6481 | 2,483,787,305 | I_kwDOJ0Z1Ps6UC5Yp | 6,481 | gork2 | {
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https://api.github.com/repos/ollama/ollama/issues/3844 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3844/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3844/comments | https://api.github.com/repos/ollama/ollama/issues/3844/events | https://github.com/ollama/ollama/issues/3844 | 2,258,843,905 | I_kwDOJ0Z1Ps6GozkB | 3,844 | api error occurred after some times request | {
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"total": 0,
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} | null | null | null | ### What is the issue?
i try to post request using the url http://localhost:11434/v1 and model "llama3:8b-instruct-q8_0", it works successfully at the initially first time, but then failed with these information:
Error occurred: Error code: 400 - {'error': {'message': 'unexpected server status: 1', 'type': 'api_erro... | {
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https://api.github.com/repos/ollama/ollama/issues/4275 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4275/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4275/comments | https://api.github.com/repos/ollama/ollama/issues/4275/events | https://github.com/ollama/ollama/issues/4275 | 2,286,923,121 | I_kwDOJ0Z1Ps6IT61x | 4,275 | Degraded accuracy when using the nomic-embed-text (v1.5) model with Ollama versions 0.1.32 and 0.1.33 | {
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We have an application where we are training the CSV file and using the following things for it:.
- 'nomic-embed-text(v1.5) model
- chromadb
- ollama(0.1.31)
At runtime, we are using'similarity_search' and getting good accuracy with ollama version 0.1.31, but when we upgrade ollama vers... | {
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https://api.github.com/repos/ollama/ollama/issues/633 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/633/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/633/comments | https://api.github.com/repos/ollama/ollama/issues/633/events | https://github.com/ollama/ollama/pull/633 | 1,917,657,126 | PR_kwDOJ0Z1Ps5bc6m4 | 633 | do not download updates multiple times | {
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} | We've hit a bug in the Electron auto-updater that prevents the toolbar app from restarting after update when `autoUpdater.checkForUpdates()` is called more than once. The root cause of this is not clear, it may be related to [this Electron issue](https://github.com/electron-userland/electron-builder/issues/7800). In an... | {
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https://api.github.com/repos/ollama/ollama/issues/4395 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4395/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4395/comments | https://api.github.com/repos/ollama/ollama/issues/4395/events | https://github.com/ollama/ollama/issues/4395 | 2,292,283,708 | I_kwDOJ0Z1Ps6IoXk8 | 4,395 | Cannot Use GPU properly | {
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"total": 0,
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} | null | null | null | ### What is the issue?
I installed the Ollama in my linux server according to the official documents:
`curl -fsSL https://ollama.com/install.sh | sh`
Installation is ok and it returns:
`
>>> Downloading ollama...
######################################################################## 100.0%-#O#- # #
>>> Ins... | {
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https://api.github.com/repos/ollama/ollama/issues/8654 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8654/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8654/comments | https://api.github.com/repos/ollama/ollama/issues/8654/events | https://github.com/ollama/ollama/issues/8654 | 2,817,986,286 | I_kwDOJ0Z1Ps6n9w7u | 8,654 | Available memory check should be disabled when mmap is in use | {
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"total": 0,
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} | null | null | null | ### What is the issue?
With mmap enabled, a model does not need to fit in the system RAM. Therefore the associated check should be disabled in this case.
### OS
Linux
### GPU
_No response_
### CPU
Intel
### Ollama version
0.5.7 | null | {
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https://api.github.com/repos/ollama/ollama/issues/3396 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3396/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3396/comments | https://api.github.com/repos/ollama/ollama/issues/3396/events | https://github.com/ollama/ollama/issues/3396 | 2,214,189,195 | I_kwDOJ0Z1Ps6D-diL | 3,396 | exec format error when Running Ollama Container on AMD64 Architecture | {
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When attempting to run the Ollama container, I continuously encounter an exec format error. The container fails to start properly and keeps trying to restart, logging the same error multiple times.
What did you expect to happen? I expected the Ollama container to start successfully without any ... | {
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Using Ollama on Windows via the terminal, if you ask a question and reference an image on a network fileshare, it will give a response about it not been able to see the photo. If you copy the image locally and then reference the local image, it has no problem with analysing the image.
Paths s... | null | {
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Previously we decoded and re-encoded JSON schemas during validation,
which served no purpose since json.RawMessage already validates JSON
syntax. Worse, the re-encoding lost field ordering from the original
schema, which affects inference quality during ste... | {
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https://api.github.com/repos/ollama/ollama/issues/5985 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5985/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5985/comments | https://api.github.com/repos/ollama/ollama/issues/5985/events | https://github.com/ollama/ollama/pull/5985 | 2,432,324,831 | PR_kwDOJ0Z1Ps52leCz | 5,985 | Use llama3.1 in tools example | {
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} | Running this example with `mistral` produces the error "mistral does not support tools". What wasn't obvious to me until I made this PR was that my copy of mistral needed upgrading for tools (`ollama pull mistral`). Making the example be `llama3.1` will lead to more success for other long time ollama users. | {
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https://api.github.com/repos/ollama/ollama/issues/766 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/766/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/766/comments | https://api.github.com/repos/ollama/ollama/issues/766/events | https://github.com/ollama/ollama/issues/766 | 1,939,890,658 | I_kwDOJ0Z1Ps5zoGHi | 766 | Release mac and linux binaries alongside the desktop packages | {
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Honestly i couldn't get it to work as desktop app on Intel Mac but works as API service. Assuming the 500% spike in cpu usage is expected with each prompt and model pulling on a decent mac. I guess i need to give it a t... | {
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When trying to pull models from the official Ollama registry - if you're building Ollama from source it now seems to fail with an error that your Ollama version is too old.
```
ollama pull llama3.1:8b-instruct-q8_0
pulling manifest
Error: pull model manifest: 412:
The model you are atte... | {
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https://api.github.com/repos/ollama/ollama/issues/269 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/269/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/269/comments | https://api.github.com/repos/ollama/ollama/issues/269/events | https://github.com/ollama/ollama/issues/269 | 1,835,339,821 | I_kwDOJ0Z1Ps5tZRAt | 269 | Pressing enter during `ollama pull` causes newlines to be printed repeatedly | {
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https://api.github.com/repos/ollama/ollama/issues/1251 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1251/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1251/comments | https://api.github.com/repos/ollama/ollama/issues/1251/events | https://github.com/ollama/ollama/issues/1251 | 2,007,405,923 | I_kwDOJ0Z1Ps53ppVj | 1,251 | How can I disable automatic model offloading from GPU memory | {
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} | null | null | null | First of all, thank you for your great work with ollama!
I found that ollama will automatically offload models from GPU memory (very frequently, even after 2-minute inactive use).
But the loading process takes too much time, how can I forge ollama keep the model loading in GPU memory?
Thanks | {
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} | null | null | null | It appears from the API documentation and code examples available that tool calling is only possible with chat(). If this capability is feasible to add to generate() it would be much appreciated!
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} | For some reason this library gives incorrect GPU information, so skip it
I'm not convinced yet this is the optimal fix, but queuing this up in case we get ready to cut a new release and haven't found a better solution yet.
Fixes #4008 | {
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However, when sending a request to ollama from a PC, I entered the IP address of the PC and sent it, but there is no reply.
Can you tell me what the problem is?
request url
http://localhost:11434/api/chat -> http://172.168.10.1... | {
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1. **Creating an Image with Certificate**:
```
cat Dockerfile
FROM ollama/ollama
COPY my-ca.pem /usr/local/share/ca-certificates/my-ca.crt
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I'm unable to run any of the small model (8B model) on my RTX 3060 12GB.
Ollama is installed in WSL2 under Win10.
Server log uploaded [ollama_log_error.txt](https://github.com/user-attachments/files/1639... | {
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I'm encountering extremely slow performance while running ollama on my PC, specifically with models like Llama2 13B. The issue isn't just the slow output speed (around 1 token/min), but I'm also concerned that my GPUs might not be utilized properly. Below are my PC specs:
- CPU: Intel Core... | {
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This PR started as a small feature addition and resulted in some significant scope creep when I added the unit tests. I'm certainly open to trying to remove some of that refactoring for `ServerNonBlocking` if that's preferred, but figured it was worth presenting as-is to start the discussion.
## I... | {
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https://api.github.com/repos/ollama/ollama/issues/1541 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1541/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1541/comments | https://api.github.com/repos/ollama/ollama/issues/1541/events | https://github.com/ollama/ollama/pull/1541 | 2,042,976,921 | PR_kwDOJ0Z1Ps5iEfYP | 1,541 | add API create/copy handlers | {
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https://api.github.com/repos/ollama/ollama/issues/1889 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1889/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1889/comments | https://api.github.com/repos/ollama/ollama/issues/1889/events | https://github.com/ollama/ollama/issues/1889 | 2,074,013,731 | I_kwDOJ0Z1Ps57nvAj | 1,889 | Phi2/dolphin-phi Disobedient on system prompt Biblical topics: | {
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} | null | null | null | Steps to reproduce:
Download a new Bible Dataset from [KJV Markdown .md](https://github.com/arleym/kjv-markdown/tree/master
)
```
#!/bin/bash
sudo rm joined.md
# Prepend content to the joined.md file
echo "FROM dolphin-phi" >> ./joined.md
echo "# set the temperature to 1 [higher is more creative, lower is... | {
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https://api.github.com/repos/ollama/ollama/issues/939 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/939/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/939/comments | https://api.github.com/repos/ollama/ollama/issues/939/events | https://github.com/ollama/ollama/issues/939 | 1,966,246,147 | I_kwDOJ0Z1Ps51MokD | 939 | Low memory systems with a lot of VRAM hit a memory issue | {
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] | closed | false | null | [] | null | 2 | 2023-10-27T22:06:04 | 2024-01-10T15:08:21 | 2024-01-10T15:08:21 | MEMBER | {
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} | null | null | null | When creating a small instance with <4GB of RAM, `ollama` hits an error when loading the memory into VRAM | {
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https://api.github.com/repos/ollama/ollama/issues/372 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/372/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/372/comments | https://api.github.com/repos/ollama/ollama/issues/372/events | https://github.com/ollama/ollama/pull/372 | 1,855,522,492 | PR_kwDOJ0Z1Ps5YL5qy | 372 | model and file type as strings | {
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} | instead of representing model and file type as their native int values in manifest config, represent them as user-friendly strings | {
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https://api.github.com/repos/ollama/ollama/issues/270 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/270/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/270/comments | https://api.github.com/repos/ollama/ollama/issues/270/events | https://github.com/ollama/ollama/pull/270 | 1,835,562,166 | PR_kwDOJ0Z1Ps5XIuTO | 270 | update llama.cpp | {
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https://api.github.com/repos/ollama/ollama/issues/1759 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1759/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1759/comments | https://api.github.com/repos/ollama/ollama/issues/1759/events | https://github.com/ollama/ollama/issues/1759 | 2,062,122,844 | I_kwDOJ0Z1Ps566X9c | 1,759 | Please add TinyGPT-V model support | {
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} | null | null | null | TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
Github: https://github.com/DLYuanGod/TinyGPT-V
HuggingFace: https://huggingface.co/Tyrannosaurus/TinyGPT-V
It stands out because it only requires a 24G GPU for training, and just an 8G GPU or CPU for inference. TinyGPT-V is based on Phi-2, ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/483 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/483/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/483/comments | https://api.github.com/repos/ollama/ollama/issues/483/events | https://github.com/ollama/ollama/issues/483 | 1,885,300,022 | I_kwDOJ0Z1Ps5wX2U2 | 483 | No response from model with giant request | {
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} | null | null | null | Using my own personal frontend with the model codellama:34b-code-q4_0 I send a giant block of code ~10kB. The model then runs for 5 - 6 minutes but only a single token comes out of the model.
This is the http response:
>{"model":"codellama:34b-code-q4_0","created_at":"2023-09-07T07:34:32.574995065Z","response":"\n"... | {
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