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"total": 0,
"completed": 0,
"percent_completed": 0
} | null | null | null | ### What is the issue?
Hello,
I try to create a new model and mo matter what the model file is, 90% of the time I get:
Error: command must be one of "from", "license", "template", "system", "adapter", "parameter", or "message"
Is there any solution to this?
This is my modelfile:
FROM llama3
PARAMETER tempera... | {
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https://api.github.com/repos/ollama/ollama/issues/2482 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2482/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2482/comments | https://api.github.com/repos/ollama/ollama/issues/2482/events | https://github.com/ollama/ollama/pull/2482 | 2,133,232,444 | PR_kwDOJ0Z1Ps5mzPR0 | 2,482 | add support for json files and to allow for more than 41666 embeddings | {
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} | Added support for support for json files and larger batch size based on embedding limitations. Ran into issues with syntax of JSONLoader arguments so went with TextLoader for now. | {
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https://api.github.com/repos/ollama/ollama/issues/5350 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5350/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5350/comments | https://api.github.com/repos/ollama/ollama/issues/5350/events | https://github.com/ollama/ollama/issues/5350 | 2,379,405,545 | I_kwDOJ0Z1Ps6N0tjp | 5,350 | Gemma 2 9B cannot run | {
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"url": "https://api.github.com/users/Forevery1",
"html_url": "https://github.com/Forevery1",
"followers_url": "https://api.github.com/users/... | [
{
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"total": 0,
"completed": 0,
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} | null | null | null | ### What is the issue?
<img width="732" alt="image" src="https://github.com/ollama/ollama/assets/19872771/e28dac56-9a8b-4310-84d3-97bf3b2594f4">
### OS
Ubuntu 22.04.4 LTS
### GPU
Nvidia 4060
### CPU
Intel
### Ollama version
0.1.47 | {
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"gravatar_id": "",
"url": "https://api.github.com/users/Forevery1",
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https://api.github.com/repos/ollama/ollama/issues/802 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/802/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/802/comments | https://api.github.com/repos/ollama/ollama/issues/802/events | https://github.com/ollama/ollama/issues/802 | 1,944,932,035 | I_kwDOJ0Z1Ps5z7U7D | 802 | Relative API link in the readme doesn't work | {
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"id": 35015261,
"node_id": "MDQ6VXNlcjM1MDE1MjYx",
"avatar_url": "https://avatars.githubusercontent.com/u/35015261?v=4",
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"url": "https://api.github.com/users/richawo",
"html_url": "https://github.com/richawo",
"followers_url": "https://api.github.com/users/richaw... | [] | closed | false | null | [] | null | 1 | 2023-10-16T10:51:26 | 2023-10-25T23:22:13 | 2023-10-25T23:22:12 | CONTRIBUTOR | {
"total": 0,
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} | null | null | null | It opens up:
https://github.com/jmorganca/docs/api.md
Rather than:
https://github.com/jmorganca/ollama/blob/main/docs/api.md | {
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"id": 251292,
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"url": "https://api.github.com/users/jmorganca",
"html_url": "https://github.com/jmorganca",
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https://api.github.com/repos/ollama/ollama/issues/7081 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7081/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7081/comments | https://api.github.com/repos/ollama/ollama/issues/7081/events | https://github.com/ollama/ollama/issues/7081 | 2,562,164,972 | I_kwDOJ0Z1Ps6Yt4js | 7,081 | Ollama performs *much* slower via API than CLI on M1 Mac | {
"login": "bigxalx",
"id": 511330,
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"avatar_url": "https://avatars.githubusercontent.com/u/511330?v=4",
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"url": "https://api.github.com/users/bigxalx",
"html_url": "https://github.com/bigxalx",
"followers_url": "https://api.github.com/users/bigxalx/fo... | [
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"total": 0,
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} | null | null | null | ### What is the issue?
### CLI
When I run **codestral:22b-v0.1-q2_K** on my M1 Macbook Air via the CLI with `ollama run codestral:22b-v0.1-q2_K` it performs a little slowly, but usable. When I look at `ollama ps` it prints the following:
| NAME | ID | SIZE | PROCESSOR | UNTI... | {
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"id": 75239,
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https://api.github.com/repos/ollama/ollama/issues/447 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/447/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/447/comments | https://api.github.com/repos/ollama/ollama/issues/447/events | https://github.com/ollama/ollama/issues/447 | 1,875,408,937 | I_kwDOJ0Z1Ps5vyHgp | 447 | commit 8bbff2df986629e5481547e913ab4de0245afb37 stops "ollama ls" from working here | {
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"login": "mxyng",
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"url": "https://api.github.com/users/mxyng",
"html_url": "https://github.com/mxyng",
"followers_url": "https://api.github.com/... | null | 2 | 2023-08-31T12:14:51 | 2023-09-04T08:27:27 | 2023-09-04T08:27:26 | CONTRIBUTOR | {
"total": 0,
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} | null | null | null | `go generate ./... && go build . && ./ollama ls` worked fine for previous versions, but does not work for the latest commit.
Using `git bisect`, the commit that creates this problem seems to be 8bbff2df986629e5481547e913ab4de0245afb37 (from the 28th of Aug).
Here is the error message for when it is not working:
... | {
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"avatar_url": "https://avatars.githubusercontent.com/u/52813?v=4",
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"url": "https://api.github.com/users/xyproto",
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https://api.github.com/repos/ollama/ollama/issues/4894 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4894/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4894/comments | https://api.github.com/repos/ollama/ollama/issues/4894/events | https://github.com/ollama/ollama/issues/4894 | 2,339,536,264 | I_kwDOJ0Z1Ps6Lcn2I | 4,894 | Feature: Allow setting OLLAMA_NUM_PARALLEL per model | {
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] | open | false | null | [] | null | 1 | 2024-06-07T03:55:36 | 2024-10-24T18:17:13 | null | CONTRIBUTOR | {
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} | null | null | null | It would be great if you could set OLLAMA_NUM_PARALLEL per model.
Example use case:
- You have one large "smart" model you only ever want one request at a time going to to avoid using all your memory.
- You have a smaller "fast" fast model (or just one with a smaller context) that you might want to allow a numbe... | null | {
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https://api.github.com/repos/ollama/ollama/issues/5748 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5748/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5748/comments | https://api.github.com/repos/ollama/ollama/issues/5748/events | https://github.com/ollama/ollama/issues/5748 | 2,413,697,254 | I_kwDOJ0Z1Ps6P3hjm | 5,748 | ShipIt folder taking 1GB | {
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"followers_url": "https://api.g... | null | 0 | 2024-07-17T13:56:58 | 2024-07-17T18:54:43 | null | NONE | {
"total": 0,
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} | null | null | null | ### What is the issue?
Running a junk file scanner it detected the folder com.electron.ollama.ShipIt taking almost 1GB in ~/Library/Caches. This should be automatically cleared.
### OS
macOS
### GPU
_No response_
### CPU
_No response_
### Ollama version
_No response_ | null | {
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https://api.github.com/repos/ollama/ollama/issues/3688 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3688/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3688/comments | https://api.github.com/repos/ollama/ollama/issues/3688/events | https://github.com/ollama/ollama/pull/3688 | 2,247,213,761 | PR_kwDOJ0Z1Ps5s3a41 | 3,688 | exmaple error:ollama list models with raw-Name | {
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修改之后：
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when using the chat api you can specify system, user and assistent. I was wondering if we would be able to add the option of **function Result**
getting the following chat
```js... | null | {
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https://api.github.com/repos/ollama/ollama/issues/1635 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1635/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1635/comments | https://api.github.com/repos/ollama/ollama/issues/1635/events | https://github.com/ollama/ollama/issues/1635 | 2,050,936,308 | I_kwDOJ0Z1Ps56Ps30 | 1,635 | [Request] Reduce Gocyclo | {
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not good for AI when it's too complex
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https://api.github.com/repos/ollama/ollama/issues/1148 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1148/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1148/comments | https://api.github.com/repos/ollama/ollama/issues/1148/events | https://github.com/ollama/ollama/issues/1148 | 1,996,063,151 | I_kwDOJ0Z1Ps52-YGv | 1,148 | running any model crashes my Ubuntu 22.04 LTS system with 2 nvidia GPUs RTX 3060 | {
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I have an AMD FX 830, 2 nvidia GPU RTX 3060 with 12GB each and CPU mem of 32GB. Running on Ubuntu 22.04 LTS.
I am using the latest CUDA toolkit 12.3 | {
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the model i used is from https://hf-mirror.com/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF,
the issues are like this
`PS D:\Ollama> ollama create llama3:70b -f Modelfile
transferring model data
creating model layer
Error: invalid file magic`
the model couldn't be successfully boot... | {
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https://api.github.com/repos/ollama/ollama/issues/3721 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3721/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3721/comments | https://api.github.com/repos/ollama/ollama/issues/3721/events | https://github.com/ollama/ollama/issues/3721 | 2,249,625,523 | I_kwDOJ0Z1Ps6GFo-z | 3,721 | NEED WizardLM-2-8*22B Q6 | {
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https://api.github.com/repos/ollama/ollama/issues/2038 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2038/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2038/comments | https://api.github.com/repos/ollama/ollama/issues/2038/events | https://github.com/ollama/ollama/issues/2038 | 2,087,322,756 | I_kwDOJ0Z1Ps58agSE | 2,038 | Minimal use of GPU in Docker (windows) with 10/33 layers loaded | {
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difficult to see in the title: ' is the problem.
when i ask my ai to "execute a python example" it generates something like "print('...')" but truncates at the 1st ':
"model": "llama3.1:8b-instruct-fp16",
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https://api.github.com/repos/ollama/ollama/issues/2552 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2552/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2552/comments | https://api.github.com/repos/ollama/ollama/issues/2552/events | https://github.com/ollama/ollama/pull/2552 | 2,139,634,632 | PR_kwDOJ0Z1Ps5nJJHA | 2,552 | Fix duplicate menus on update and exit on signals | {
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} | Also fixes a few fit-and-finish items for better developer experience
Fixes #2521
Fixes #2522 | {
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https://api.github.com/repos/ollama/ollama/issues/352 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/352/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/352/comments | https://api.github.com/repos/ollama/ollama/issues/352/events | https://github.com/ollama/ollama/issues/352 | 1,851,591,225 | I_kwDOJ0Z1Ps5uXQo5 | 352 | crash on allocated size greater than the recommended max working set size | {
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```
size = 160.00 MB, (12018.69 / 10922.67), warning: current allocated size is greater than the recommended max working set size
ggml_metal_graph_compute: command buffer 0 failed with status 5
GGML_ASSERT: ggml-meta... | {
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https://api.github.com/repos/ollama/ollama/issues/5673 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5673/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5673/comments | https://api.github.com/repos/ollama/ollama/issues/5673/events | https://github.com/ollama/ollama/issues/5673 | 2,406,889,988 | I_kwDOJ0Z1Ps6PdjoE | 5,673 | Ollama spins up USB HDD | {
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When ever I run an Ollama model, Ollama now spins up my external USB hard drive despite not needing to as all the models are on the internal drive.
I can't say I've always noticed it doing this, although it has always spun up the hard drive when upgrading as it seems to scan USB?
Is there... | {
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https://api.github.com/repos/ollama/ollama/issues/6265 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6265/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6265/comments | https://api.github.com/repos/ollama/ollama/issues/6265/events | https://github.com/ollama/ollama/issues/6265 | 2,456,705,221 | I_kwDOJ0Z1Ps6SbljF | 6,265 | Not a feature request, not a bug, problem with LLama3.1 | {
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Running llama3.1 with the same parameters that seem to be ok with all other models.
... | {
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https://api.github.com/repos/ollama/ollama/issues/1258 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1258/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1258/comments | https://api.github.com/repos/ollama/ollama/issues/1258/events | https://github.com/ollama/ollama/pull/1258 | 2,008,889,413 | PR_kwDOJ0Z1Ps5gQ9B8 | 1,258 | warn if running a ggml model file | {
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} | If the model a user is running will the use ggml runtime log a warning that prompts them to check for update to try and pull the gguf version of the model.
```
ollama run orca-mini
This model requires an update to work in future versions of Ollama. Check for update now? (y/n) y
pulling manifest
pulling 4de14feaa... | {
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https://api.github.com/repos/ollama/ollama/issues/2846 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2846/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2846/comments | https://api.github.com/repos/ollama/ollama/issues/2846/events | https://github.com/ollama/ollama/issues/2846 | 2,162,262,359 | I_kwDOJ0Z1Ps6A4YFX | 2,846 | /read {filename} command to read a prompt from a file | {
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https://api.github.com/repos/ollama/ollama/issues/5404 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5404/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5404/comments | https://api.github.com/repos/ollama/ollama/issues/5404/events | https://github.com/ollama/ollama/issues/5404 | 2,383,291,047 | I_kwDOJ0Z1Ps6ODiKn | 5,404 | ollama create model success but ps command returns empty | {
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"total": 0,
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} | null | null | null | ### What is the issue?
I used `ollama create emailphishing -f emailphishing.mf ` command, and it printed "success":
When I used command `ollama ps`, and it returned empty list:
![企业微信截图_17198251869432](htt... | {
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https://api.github.com/repos/ollama/ollama/issues/7176 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7176/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7176/comments | https://api.github.com/repos/ollama/ollama/issues/7176/events | https://github.com/ollama/ollama/issues/7176 | 2,582,356,628 | I_kwDOJ0Z1Ps6Z66KU | 7,176 | Error: exception done_getting_tensors: wrong number of tensors; expected 255, got 254 | {
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} | null | null | null | ### What is the issue?
After installing Ollama, pulling llama3.2 and trying to run it, I get this error. I saw other threads regarding the same, but in my case updating to the latest ollama didn't help.
Here's what --version dumps out:
ollama version is 0.1.30
Warning: client version is 0.3.12
### OS
Windows
#... | {
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https://api.github.com/repos/ollama/ollama/issues/3590 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3590/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3590/comments | https://api.github.com/repos/ollama/ollama/issues/3590/events | https://github.com/ollama/ollama/issues/3590 | 2,237,311,481 | I_kwDOJ0Z1Ps6FWqn5 | 3,590 | Concurrency scheduling is not supported. | {
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} | null | null | null | ### What is the issue?
I have multiple Intel CPUs and NVIDIA GPUs, but the generate interface can only initiate one request at a time. Even though I have sufficient resources, it gets stuck without further scheduling. This is a hot bug, please fix it as soon as possible.
### What did you expect to see?
_No response_... | {
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https://api.github.com/repos/ollama/ollama/issues/4321 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4321/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4321/comments | https://api.github.com/repos/ollama/ollama/issues/4321/events | https://github.com/ollama/ollama/pull/4321 | 2,290,282,452 | PR_kwDOJ0Z1Ps5vINVu | 4,321 | Use `--quantize` flag and `quantize` api parameter | {
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https://api.github.com/repos/ollama/ollama/issues/2713 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2713/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2713/comments | https://api.github.com/repos/ollama/ollama/issues/2713/events | https://github.com/ollama/ollama/issues/2713 | 2,151,541,844 | I_kwDOJ0Z1Ps6APexU | 2,713 | llava13b memory access faults on api/chat (firts call fine, fail on second one) | {
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I have 2x7900xtx
if I close ollama after each requests and specify only 1 gpu it's running well.
I tried 8 times to run ollama server and close after a request, at some point it was broken too cause closing wasn't cleari... | {
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https://api.github.com/repos/ollama/ollama/issues/7706 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7706/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7706/comments | https://api.github.com/repos/ollama/ollama/issues/7706/events | https://github.com/ollama/ollama/pull/7706 | 2,665,911,664 | PR_kwDOJ0Z1Ps6CKKAi | 7,706 | feat: add VT chat app to README | {
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} | Add VT app, a minimal multimodal AI chat app with dynamic conversation routing, support both models backend by Ollama.
Thank you! | {
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https://api.github.com/repos/ollama/ollama/issues/3627 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3627/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3627/comments | https://api.github.com/repos/ollama/ollama/issues/3627/events | https://github.com/ollama/ollama/pull/3627 | 2,241,641,473 | PR_kwDOJ0Z1Ps5skjK8 | 3,627 | Update llama.cpp submodule to `4bd0f93` | {
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https://api.github.com/repos/ollama/ollama/issues/2528 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2528/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2528/comments | https://api.github.com/repos/ollama/ollama/issues/2528/events | https://github.com/ollama/ollama/pull/2528 | 2,137,579,266 | PR_kwDOJ0Z1Ps5nCGJN | 2,528 | Explicitly disable AVX2 on GPU builds | {
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} | Even though we weren't setting it to on, somewhere in the cmake config it was getting toggled on. By explicitly setting it to off, we get `/arch:AVX` as intended.
Fixes #2527
Input:
```
generating config with: cmake -S ../llama.cpp -B ../llama.cpp/build/windows/amd64/cuda_v11.3 -DBUILD_SHARED_LIBS=on -DLLAMA_... | {
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https://api.github.com/repos/ollama/ollama/issues/3446 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3446/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3446/comments | https://api.github.com/repos/ollama/ollama/issues/3446/events | https://github.com/ollama/ollama/issues/3446 | 2,219,564,146 | I_kwDOJ0Z1Ps6ES9xy | 3,446 | ollama not using AMD GPU on linux | {
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ollama is only using my CPU. I've tried running it with `ROCR_VISIBLE_DEVICES=0 ollama serve` but that doesn't seem to change anything.
```
time=2024-04-01T22:37:03.207-06:00 level=INFO source=routes.go:1118 msg="Listening on 127.0.0.1:11434 (version 0.1.30)"
time=2024-04-01T22:37:03.207-... | {
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https://api.github.com/repos/ollama/ollama/issues/1659 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1659/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1659/comments | https://api.github.com/repos/ollama/ollama/issues/1659/events | https://github.com/ollama/ollama/issues/1659 | 2,052,724,559 | I_kwDOJ0Z1Ps56WhdP | 1,659 | Ollama push fails on slower downloads with a 403 | {
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} | null | null | null | I have a model I want to push but at only a 35Mbps upload speed (thanks Xfinity Gigabit), it takes about 25 minutes to upload. The problem is that when it takes longer than 20 minutes, it fails with this error:
```
ollama push mattw/gpt4-x-alpaca:latest
retrieving manifest
pushing 6bccfcf77d21... 31% ▕█████████... | {
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https://api.github.com/repos/ollama/ollama/issues/8055 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8055/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8055/comments | https://api.github.com/repos/ollama/ollama/issues/8055/events | https://github.com/ollama/ollama/pull/8055 | 2,734,291,036 | PR_kwDOJ0Z1Ps6E7lK- | 8,055 | llama: enable JSON schema key ordering for generating grammars | {
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"url": "https://api.github.com/repos/ollama/ollama/pulls/8055",
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} | Will do a follow up PR for updates to the command line with format | {
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https://api.github.com/repos/ollama/ollama/issues/7806 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7806/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7806/comments | https://api.github.com/repos/ollama/ollama/issues/7806/events | https://github.com/ollama/ollama/issues/7806 | 2,685,230,463 | I_kwDOJ0Z1Ps6gDV1_ | 7,806 | Context length not being updated | {
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"total": 0,
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} | null | null | null | ### What is the issue?
```bash
ollama show llama3.2
Model
architecture llama
parameters 3.2B
context length 131072
embedding length 3072
quantization Q4_K_M
Parameters
stop "<|start_header_id|>"
stop "<|end_header_id|>"
stop "<|... | {
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https://api.github.com/repos/ollama/ollama/issues/2145 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2145/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2145/comments | https://api.github.com/repos/ollama/ollama/issues/2145/events | https://github.com/ollama/ollama/issues/2145 | 2,094,713,641 | I_kwDOJ0Z1Ps582ssp | 2,145 | Streaming response with `text/event-stream` | {
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} | null | null | null | Are you still considering adding `text/event-stream` for the Streaming Response ? Reading #294, it might make sense to have that option for browser-only clients.
For reference, here is a JavaScript client for text streaming that works on both the browser and Node.js.
https://github.com/huggingface/huggingface.js/bl... | {
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https://api.github.com/repos/ollama/ollama/issues/2845 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2845/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2845/comments | https://api.github.com/repos/ollama/ollama/issues/2845/events | https://github.com/ollama/ollama/issues/2845 | 2,162,137,372 | I_kwDOJ0Z1Ps6A35kc | 2,845 | Multiple requests at once | {
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Lets say you have two terminal windows running and you ask the AI in Window 1 to do X and ask the AI in Windows 2 which will either be using the same model or a different model and ask it to do Y a... | {
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https://api.github.com/repos/ollama/ollama/issues/5212 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5212/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5212/comments | https://api.github.com/repos/ollama/ollama/issues/5212/events | https://github.com/ollama/ollama/pull/5212 | 2,367,611,285 | PR_kwDOJ0Z1Ps5zPXlQ | 5,212 | build: add source label to Dockerfile | {
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My PC configuration is:
- GPU - Nvidia RTX 4070 (12Gb)
- 64 GB RAM
- When I do not use Ollama: 11.9Gb RAM is used-
- When I use Ollama with the default settings: 33.7 GB RAM is used
- `num_ctx` = 4k (4,096), then **35.1** GB RAM is used
- `num_ctx` = 8k (8,192), then **39.9** GB RAM is u... | null | {
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**Description:**
When using a relative path in a FROM statement within a Modelfile, the path is resolved relative to the current working directory where the ollama command is executed, rather than relative to the Modelfile's location. This makes it difficult to create portable Modelfiles that... | {
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https://api.github.com/repos/ollama/ollama/issues/8630 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8630/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8630/comments | https://api.github.com/repos/ollama/ollama/issues/8630/events | https://github.com/ollama/ollama/issues/8630 | 2,815,542,115 | I_kwDOJ0Z1Ps6n0cNj | 8,630 | loss of speech | {
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Hello, I am using llama3.1:8b. When I stop and reopen the application, the old chat disappears. How can I prevent this?
### OS
Windows
### GPU
AMD
### CPU
AMD
### Ollama version
0.5.7 | null | {
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https://api.github.com/repos/ollama/ollama/issues/3879 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3879/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3879/comments | https://api.github.com/repos/ollama/ollama/issues/3879/events | https://github.com/ollama/ollama/pull/3879 | 2,261,507,878 | PR_kwDOJ0Z1Ps5tnUnV | 3,879 | Use ReadFull over CopyN when decoding GGUFs | {
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In addition, preallocating the array slices to prevent underlying allocs to append to the slice.
I observed real world performance improvements as well as by using a small micr... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7954 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7954/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7954/comments | https://api.github.com/repos/ollama/ollama/issues/7954/events | https://github.com/ollama/ollama/pull/7954 | 2,721,208,460 | PR_kwDOJ0Z1Ps6EOfng | 7,954 | wip: next ollama runner build updates | {
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https://api.github.com/repos/ollama/ollama/issues/5078 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5078/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5078/comments | https://api.github.com/repos/ollama/ollama/issues/5078/events | https://github.com/ollama/ollama/pull/5078 | 2,355,788,027 | PR_kwDOJ0Z1Ps5ynHod | 5,078 | Add Chinese translation of README | {
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https://api.github.com/repos/ollama/ollama/issues/7033 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7033/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7033/comments | https://api.github.com/repos/ollama/ollama/issues/7033/events | https://github.com/ollama/ollama/issues/7033 | 2,554,854,330 | I_kwDOJ0Z1Ps6YR_u6 | 7,033 | Using smaller context size shows CUDA error: CUBLAS_STATUS_NOT_INITIALIZED | {
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Helo, i have PC with NVIDIA 10GB Vram, i have installed ollama and **deepseek-coder-v2:16b** model on it, i will use continue.dev in my vscode to communicate with ollama.
i have problem when i set ctx size in the plugin to 4K like so `"contextLength": 4096, ` with deepseek-coder-v2:16b i go... | {
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https://api.github.com/repos/ollama/ollama/issues/1038 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1038/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1038/comments | https://api.github.com/repos/ollama/ollama/issues/1038/events | https://github.com/ollama/ollama/pull/1038 | 1,982,633,921 | PR_kwDOJ0Z1Ps5e4AeT | 1,038 | Response preamble for interactive terminal | {
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} | This PR updates the interactive terminal experience to:
- print the active model just above the model's output
- provide `/set preamble` and `/set nopreamble` to turn this behavior on & off
- in both cases, adds an extra line to separate prompt & response
![preamble](https://github.com/jmorganca/ollama/assets/2... | {
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https://api.github.com/repos/ollama/ollama/issues/1955 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1955/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1955/comments | https://api.github.com/repos/ollama/ollama/issues/1955/events | https://github.com/ollama/ollama/issues/1955 | 2,079,203,600 | I_kwDOJ0Z1Ps577iEQ | 1,955 | `WARNING: failed to allocate 4096.02 MB of pinned memory: out of memory` | {
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```
C:\Users\lin\AppData\Local\Ollama>ollama run gemma:7b
pulling manifest
pulling ef311de6af9d... 70% ▕███████████████████████████████████████ ▏ 3.5 GB/5.0 GB 3.5 MB/s 7m9s
Error: Post "... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7590 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7590/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7590/comments | https://api.github.com/repos/ollama/ollama/issues/7590/events | https://github.com/ollama/ollama/issues/7590 | 2,646,538,915 | I_kwDOJ0Z1Ps6dvvqj | 7,590 | GGML_ASSERT(ggml_nelements(a) == ne0*ne1*ne2) failed | {
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If I try to run the `llama3.2-vision` model using `ollama run llama3.2-vision` on my Arch Linux machine, I get this error:
```
Error: llama runner process has terminated: GGML_ASSERT(ggml_nelements(a) == ne0*ne1*ne2) failed
```
`ollama run llama3.2` and `ollama run llava` works fine.
I h... | null | {
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https://api.github.com/repos/ollama/ollama/issues/8414 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8414/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8414/comments | https://api.github.com/repos/ollama/ollama/issues/8414/events | https://github.com/ollama/ollama/issues/8414 | 2,786,257,669 | I_kwDOJ0Z1Ps6mEusF | 8,414 | [Feature] Support Intel GPUs | {
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But the function disappears now.
I see there are several issues and opened PRs for Intel GPU. But they are too old.
I want to draft PRs to support Intel GPU: dGPU & iGPU (since 11th Core) by including llama.cpp... | null | {
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segmentation fault (core dumped) error for snowflake-arctic-embed:latest, other models are working fine
these are the system logs
Nov 11 08:26:04 dev-_-aiml-reco ollama.listener[1455]: time=2024-11-11T08:26:04.252Z level=INFO source=server.go:108 msg="system memory" total="29.4 GiB" fr... | {
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} | null | null | null | ### What is the issue?
I've noticed is that Ollama makes poor decisions about acceleration in setups with heterogenous GPUs. I for example have a 16GB VRAM and a 3GB VRAM dGPU in my desktop PC and Ollama seems to only consider the smaller VRAM GPU, even if I set up `CUDA_VISIBLE_DEVICES=0` to only let it compute on th... | {
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I'm building client for Ollama and wondering what is the best way to identify multimodal models like `llava`, `bakllava` from the API? I want to display additional UI if model supports images.
It seems that both `llava` and `bakllava` returns `/api/tags` response containing... | {
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The new Herme 2 Pro model recommends results from function calling to come in messages with the role "tool", eg:
```
<|im_start|>tool
<tool_response>...result here...</tool_response>
<|im_end|>
```
The chat api doesn't support messages with a role "tool" - treats it as a bad re... | {
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[https://raw.githubusercontent.com/comfyanonymous/ComfyUI/master/comfyui_screenshot.png](url)
like Andrew Ng say, The Agentic Workflow much stronger than the original GPT3.5,
I know that ollama can be called using API. The problem now is how to implement the agent workflow on the UI and complete t... | null | {
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Fixes #2721 | {
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ive tried to create a new model recently with only the parameter num_ctx, when I run the models it shows 100% CPU with no GPU usage, even if the model was too big I would assume it would report GPU/CPU 100%/???%
### OS
Docker
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.4.0 | {
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```
Error: llama runner failed: out of memory
```
This change le... | {
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OLLAMA_HOST=https://redacted:443 ollama pull llama2:13b
pulling manifest
pulling 29fdb92e57cf... 5% |█ | (408 MB/7.4 GB, 99 MB/s) [4s:1m10s]Error: max retries exceeded
```
```
OLLAMA_HOST=https://redacted:443 ollama pull llama2:13b
pulling manifest
pulling 29fdb92e57cf... ... | {
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} | This commit reflects changes in linux kernel 6.9.9+ on small APU. LLM load to GTT memory, which is set to 1/2 of RAM by default and can be changed. This allows to use bigger models with AMD APU without VRAM carveout and load models bigger than max VRAM carveout of 16GiB. No hacks like [torch-apu-helper](https://github.... | null | {
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This is useful to me because if I feed a large document into the model, I'd like to know when it's "too large" and perhaps to break it down or do something else. | {
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### run hhao/openbmb-minicpm-llama3-v-2_5:fp16
msg="error loading llama server" error="llama runner process has terminated: exit status 0xc0000409 "
time=2024-05-29T22:03:49.672+08:00 level=INFO source=memory.go:133 msg="offload to gpu" layers.requested=-1 layers.real=33 memory.availab... | {
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The modelfile cannot get loaded after the model creation
### What did you expect to see?
A working chat interface
### Steps to reproduce
drwho@jarvis:/opt/models/aya-101-GGUF$ ollama create aya -f Modelfile
transferring model data
creating model layer
creating system layer
creating p... | {
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https://api.github.com/repos/ollama/ollama/issues/591 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/591/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/591/comments | https://api.github.com/repos/ollama/ollama/issues/591/events | https://github.com/ollama/ollama/pull/591 | 1,912,108,173 | PR_kwDOJ0Z1Ps5bKCub | 591 | unbound max num gpu layers | {
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} | null | null | null | ### What is the issue?
I'm using the OpenAI .Net library to connect to Ollama, using the default llama3.2 model. I get an "Unknown ChatFinishReason value." error from the library. You can see in below code from ChatFinishReasonExtensions (from OpenAI lib) that the value returned by Ollama is null.
![image](https://... | {
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https://api.github.com/repos/ollama/ollama/issues/4323 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4323/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4323/comments | https://api.github.com/repos/ollama/ollama/issues/4323/events | https://github.com/ollama/ollama/pull/4323 | 2,290,401,833 | PR_kwDOJ0Z1Ps5vInU1 | 4,323 | Always use the sorted list of GPUs | {
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https://api.github.com/repos/ollama/ollama/issues/7268 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7268/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7268/comments | https://api.github.com/repos/ollama/ollama/issues/7268/events | https://github.com/ollama/ollama/issues/7268 | 2,598,920,711 | I_kwDOJ0Z1Ps6a6GIH | 7,268 | fail to run ollama run hf-mirror.com/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2-GGUF:Q8 | {
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"total": 0,
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taozhiyu@Mac ~ % ollama run hf-mirror.com/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2-GGUF:Q8
pulling manifest
Error: pull model manifest: 400: The specified tag is not a valid quantization scheme. Please use another tag or "latest"
taozhiyu@Mac ~ % ollama run hf-mirror.com/Orenguteng/Llama... | {
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https://api.github.com/repos/ollama/ollama/issues/4489 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4489/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4489/comments | https://api.github.com/repos/ollama/ollama/issues/4489/events | https://github.com/ollama/ollama/issues/4489 | 2,301,751,450 | I_kwDOJ0Z1Ps6JMfCa | 4,489 | Is there anybody who successfully imported llama-3-8b-web? | {
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Converted this model using options "--ctx 8192 --outtype f16 --vocab-type bpe" and quantized the result with option "q4_0". Both ended successfully.
But when using ollama to run the result, I got "Error: llama run... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7965 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7965/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7965/comments | https://api.github.com/repos/ollama/ollama/issues/7965/events | https://github.com/ollama/ollama/issues/7965 | 2,722,571,414 | I_kwDOJ0Z1Ps6iRySW | 7,965 | It seems that the new KV cache quantization feature is incorrectly allocating resources. | {
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For example (q4_0 kv):
/set parameter num_ctx 88000
Rombos-LLM-V2.6-Qwen-14b-Q4_K_M:latest 81d0d17e9f6a 21 GB 100% GPU 4 minutes from now
However, the actual VRAM usage amounts to 13,880,772K
There is a significant difference between the actual VRAM usage (13.24 GB) and what Ollama rep... | {
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https://api.github.com/repos/ollama/ollama/issues/7723 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7723/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7723/comments | https://api.github.com/repos/ollama/ollama/issues/7723/events | https://github.com/ollama/ollama/issues/7723 | 2,667,707,748 | I_kwDOJ0Z1Ps6fAf1k | 7,723 | Can´t use GPU at Ubuntu 22.04 without Docker - permission problems | {
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"node_id": "LA_kwDOJ0Z1Ps8AAAABf3UTxA... | closed | false | null | [] | null | 26 | 2024-11-18T08:49:40 | 2024-12-02T15:31:17 | 2024-12-02T15:31:17 | NONE | {
"total": 0,
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} | null | null | null | ### What is the issue?
Hi, I have been using Jan.ai but I wanted to try other options.
I can't run Ollama taking advantage of my GPU. I would prefer not to use Docker for security reasons.
Below I provide all the info that you maybe need to help me in order to find a solution. Thank you in advance.
CPU: AMD R... | {
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https://api.github.com/repos/ollama/ollama/issues/8628 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8628/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8628/comments | https://api.github.com/repos/ollama/ollama/issues/8628/events | https://github.com/ollama/ollama/issues/8628 | 2,815,299,219 | I_kwDOJ0Z1Ps6nzg6T | 8,628 | Cannot download Ollama | {
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https://api.github.com/repos/ollama/ollama/issues/6228 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6228/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6228/comments | https://api.github.com/repos/ollama/ollama/issues/6228/events | https://github.com/ollama/ollama/issues/6228 | 2,452,899,411 | I_kwDOJ0Z1Ps6SNEZT | 6,228 | llama_init_from_gpt_params: error: failed to load model 'models\gemma-1.1-7b-it.Q4_K_M.gguf' | {
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"total": 0,
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} | null | null | null | ### What is the issue?
when I run the code below in Windows machine(Intel Xeon Silver 421R 2.4GHz, 512m, NVIDIA GeForce RTX 3090) and I got the error below:
llama-cli.exe -m models\gemma-1.1-7b-it.Q4_K_M.gguf --prompt "Once upon a time"
Log start
main: build = 0 (unknown)
main: built with cc (GCC) 14.1.0 for i686-... | {
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https://api.github.com/repos/ollama/ollama/issues/7546 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7546/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7546/comments | https://api.github.com/repos/ollama/ollama/issues/7546/events | https://github.com/ollama/ollama/issues/7546 | 2,640,226,786 | I_kwDOJ0Z1Ps6dXqni | 7,546 | libggml linked to wrong cuda version | {
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"total": 0,
"completed": 0,
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Hi,
I just upgraded to ollama 0.4.0 and loading a model fail with the following error:
```
/tmp/ollama2415219728/runners/cuda_v12/ollama_llama_server: error while loading shared libraries: libcublas.so.11: cannot open shared object file: No such file or directory
time=2024-11-07T08:55:32... | {
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} | Addresses #228. This is my first time writing go, please feel free to correct any bad code. *
This change defaults to using the [XDG Base Directory Specification](https://specifications.freedesktop.org/basedir-spec/basedir-spec-latest.html) for the history file and private key files which are currently generated in ... | null | {
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Im developing web app for educational purpose. I use React + Vite. Till now in development mode im not facing great problems.... But now i have tried to run in production mode and got the error below: h
```
vite v5.2.10 building for production...
[plugin:vite:resolve] [plugin vite:resolve] ... | null | {
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```
> ollama run dolphin-mixtral:latest
pulling manifest
pulling bdb11b0699e0... 60% ▕██████████████████ ▏ 15 GB/ 26 GB 3.4 MB/s 52m23s
Error: max retries exceeded: unexpected EOF
```
Here is my `.ollama/logs/server.log`
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Try with CMD, PowerShell, and git bash, but the same error, with different models, like llama3.3 and deepseek-r1:70b
I have space in SSD OS disk C:\ and disk destination T:\Ollama\
### OS
Windows
### GPU
Nvidia
### CPU
Intel
### Ollama version
v0.5.7 | null | {
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https://api.github.com/repos/ollama/ollama/issues/6409 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6409/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6409/comments | https://api.github.com/repos/ollama/ollama/issues/6409/events | https://github.com/ollama/ollama/issues/6409 | 2,472,392,863 | I_kwDOJ0Z1Ps6TXbif | 6,409 | End and Home buttons don't work in ollama in tmux | {
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} | null | null | null | ### What is the issue?
Pressing End doesn't move the cursor to the end of line, and instead it enters the '~' character.
Same happens with the Home button.
These are TERM environment variables in tmux:
```
$ env | grep TERM
COLORTERM=truecolor
TERM_PROGRAM_VERSION=3.3a
TERM=tmux-256color
TERM_PROGRAM=tmux
`... | {
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https://api.github.com/repos/ollama/ollama/issues/1175 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1175/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1175/comments | https://api.github.com/repos/ollama/ollama/issues/1175/events | https://github.com/ollama/ollama/pull/1175 | 1,999,475,799 | PR_kwDOJ0Z1Ps5fxPgf | 1,175 | Refactor Request Retry | {
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} | The request retry logic is mostly in `download.go` and `upload.go`. This function is only meant to retry on authentication failure, so doing that multiple times is not needed.
- do not log `upload failure` on error, this function is called on download also
- do not log on request cancellation, this causes a cancel... | {
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https://api.github.com/repos/ollama/ollama/issues/1628 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1628/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1628/comments | https://api.github.com/repos/ollama/ollama/issues/1628/events | https://github.com/ollama/ollama/issues/1628 | 2,050,327,694 | I_kwDOJ0Z1Ps56NYSO | 1,628 | [Feature Request] integrate PowerInfer as alternative to llama.cpp | {
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just found another inference engine https://github.com/SJTU-IPADS/PowerInfer, it seems has some advantages, but not tested, if ollama can integrate it ? | {
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https://api.github.com/repos/ollama/ollama/issues/7722 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7722/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7722/comments | https://api.github.com/repos/ollama/ollama/issues/7722/events | https://github.com/ollama/ollama/pull/7722 | 2,667,574,687 | PR_kwDOJ0Z1Ps6CNPY1 | 7,722 | openai: fix follow-on messages having "role": "assistant" | {
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https://api.github.com/repos/ollama/ollama/issues/6236 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6236/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6236/comments | https://api.github.com/repos/ollama/ollama/issues/6236/events | https://github.com/ollama/ollama/issues/6236 | 2,453,873,359 | I_kwDOJ0Z1Ps6SQyLP | 6,236 | gpu not found in windows | {
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"total": 0,
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} | null | null | null | ### What is the issue?
A few days ago, my ollama could still run using the GPU, but today it suddenly can only use the CPU. I tried to reinstall ollama, use an old version of ollama, and updated the graphics card driver, but I couldn't make ollama run on the GPU. windows 11 22H2, graphics card is 3080, cpu is intel.
... | {
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https://api.github.com/repos/ollama/ollama/issues/869 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/869/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/869/comments | https://api.github.com/repos/ollama/ollama/issues/869/events | https://github.com/ollama/ollama/issues/869 | 1,955,397,440 | I_kwDOJ0Z1Ps50jP9A | 869 | API documentation link in the Homepage is broken | {
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https://api.github.com/repos/ollama/ollama/issues/1860 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1860/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1860/comments | https://api.github.com/repos/ollama/ollama/issues/1860/events | https://github.com/ollama/ollama/issues/1860 | 2,071,300,606 | I_kwDOJ0Z1Ps57dYn- | 1,860 | [FEATURE] Add "mv" command + add possibly add confirmation for "rm" | {
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} | null | null | null | It would be nice to have a "mv" command and could probably just be impliment as a "cp" followed by an "rm".
It might also be a good idea to add confirmation for "rm" as I've accidentally removed a model a couple of times now. | null | {
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https://api.github.com/repos/ollama/ollama/issues/5679 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5679/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5679/comments | https://api.github.com/repos/ollama/ollama/issues/5679/events | https://github.com/ollama/ollama/pull/5679 | 2,407,112,636 | PR_kwDOJ0Z1Ps51TWry | 5,679 | Add LLPhant to README.md | {
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} | LLPhant is a PHP library that wraps many LLM services and it supports Ollama.
https://github.com/theodo-group/LLPhant?tab=readme-ov-file#ollama | {
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