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windows gpu memory.available always be one value , no matter how many model was loaded
### OS
Windows
### GPU
Nvidia
### CPU
_No response_
### Ollama version
0.1.38 | {
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https://api.github.com/repos/ollama/ollama/issues/673 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/673/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/673/comments | https://api.github.com/repos/ollama/ollama/issues/673/events | https://github.com/ollama/ollama/pull/673 | 1,922,391,010 | PR_kwDOJ0Z1Ps5bsqjJ | 673 | clean up num_gpu calculation code | {
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https://api.github.com/repos/ollama/ollama/issues/6554 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6554/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6554/comments | https://api.github.com/repos/ollama/ollama/issues/6554/events | https://github.com/ollama/ollama/issues/6554 | 2,494,275,014 | I_kwDOJ0Z1Ps6Uq53G | 6,554 | Error: llama runner process has terminated: exit status 0xc0000135 | {
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I followed the below document to run the ollama model in GPU using Intel IPEX
https://github.com/intel-analytics/ipex-llm/blob/main/docs/mddocs/Quickstart/ollama_quickstart.md
https://www.intel.com/content/www/us/en/content-details/826081/running-ollama-with-open-webui-on-intel-hardware-pl... | {
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https://api.github.com/repos/ollama/ollama/issues/6949 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6949/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6949/comments | https://api.github.com/repos/ollama/ollama/issues/6949/events | https://github.com/ollama/ollama/issues/6949 | 2,547,140,889 | I_kwDOJ0Z1Ps6X0kkZ | 6,949 | Is there a better model that can accurately recognize image information?下载了好几个多模态的模型，图片识别效果都不好 | {
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"Using fastgpt --onapi to call local Ollama models, I have downloaded several multimodal models, but the image recognition accuracy is not good. Is there a better model that can accurately recognize image information?"
使用fastgpt--onapi调用ollama本地模型，下载了好几个多模态的模型，图片识别效果都不准确。
有没有好一点的可以识别图片信息的模... | {
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https://api.github.com/repos/ollama/ollama/issues/8129 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8129/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8129/comments | https://api.github.com/repos/ollama/ollama/issues/8129/events | https://github.com/ollama/ollama/pull/8129 | 2,743,834,133 | PR_kwDOJ0Z1Ps6Fb0jh | 8,129 | build: Enable -mf16c and -mfma in ROCm on x86 only | {
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} | These flags are not available outside of x86. I've successfully built Ollama with ROCm support on RISC-V hardware and Arch Linux RISC-V. | null | {
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https://api.github.com/repos/ollama/ollama/issues/8636 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8636/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8636/comments | https://api.github.com/repos/ollama/ollama/issues/8636/events | https://github.com/ollama/ollama/issues/8636 | 2,815,799,891 | I_kwDOJ0Z1Ps6n1bJT | 8,636 | Upload compressed package file, unable to decompress and error reported | {
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Thanks for this great program, I love it! However, I uploaded a compressed package containing the project source code in the dialog interface, and an error occurred when the program was run. Can this problem be solved?
![Image](https://github.com/user-attachments/assets/2c6d9c78-5512-4b4e-a60e-... | {
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https://api.github.com/repos/ollama/ollama/issues/2328 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2328/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2328/comments | https://api.github.com/repos/ollama/ollama/issues/2328/events | https://github.com/ollama/ollama/issues/2328 | 2,114,965,582 | I_kwDOJ0Z1Ps5-D9BO | 2,328 | llava:34b is not working properly on my 36GB macbook M3 max | {
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} | null | null | null | When running the model with a picture, it returned ramdom text like below. I am using ollama version 0.1.22
>>> /Users/danny/Downloads/ollama.png what is this
Added image '/Users/danny/Downloads/ollama.png'
username is first key ofthe.2!f+...0!5"0 g?..1...-
. 10dd.. t1.!.
....
...!:/.-.s[..,.,.:..)
. A.---....... | {
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https://api.github.com/repos/ollama/ollama/issues/901 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/901/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/901/comments | https://api.github.com/repos/ollama/ollama/issues/901/events | https://github.com/ollama/ollama/issues/901 | 1,960,492,610 | I_kwDOJ0Z1Ps502r5C | 901 | Setting correct rope frequency on llama2-chinese | {
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回答一直在换行？这是为什么？
（Always on line feed display，Why?） | {
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i'm trying to setup ollama to run in a docker container, in order to have it run in runpod serverless function and to do so i'd like to pull a model file in my container image (embed the model file into the docker image)
basically i'd like to have a script like this that run during the build fo the image ... | {
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https://api.github.com/repos/ollama/ollama/issues/1257 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1257/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1257/comments | https://api.github.com/repos/ollama/ollama/issues/1257/events | https://github.com/ollama/ollama/pull/1257 | 2,008,758,473 | PR_kwDOJ0Z1Ps5gQggk | 1,257 | env variable to configure defaultSessionDuration | {
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Fixes issues #1048 and #931 | {
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Note : Les tarifs sont approximatifs et peuvent varier selon la complexité du texte, sa
longueur et la disponibilité des traducteurs qualifiés dans la lan... | {
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Since the "ggml" source tree doesn't appear to need to be patched anymore it seems like we can reduce down to one submodule here but I did not perform that refactor for simplicity, let m... | {
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https://api.github.com/repos/ollama/ollama/issues/2616 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2616/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2616/comments | https://api.github.com/repos/ollama/ollama/issues/2616/events | https://github.com/ollama/ollama/issues/2616 | 2,144,627,054 | I_kwDOJ0Z1Ps5_1Glu | 2,616 | Change Bind IP address | {
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Ollama server incorrectly identifies the Compute Capability of my GPU (detects 1.0 instead of 5.2). It seems to me that this is due to a recent change in [gpu/gpu.go](https://github.com/ollama/ollama/commit/34b9db5afc43b352c5ef04fe6ef52684bfdd57b5#diff-b3bde438f86c17903c484c6a1f48f7c98437f5ed1... | {
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} | null | null | null | Meta / HF updated the tokenizer config (specifically the chat template) of all the Llama 3.1 (instruct) models a few hours ago:
- [Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct/commit/b2a4d0f33b41fcd59a6d31662cc63b8d53367e1e)
- [Meta-Llama-3.1-70B-Instruct](https://hugging... | {
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} | The recent refactoring of the memory prediction assumed all layers are the same size, but for some models (like deepseek-coder-v2) this is not the case, so our predictions were significantly off.
Without the fix:
```
time=2024-06-18T11:03:42.708-07:00 level=INFO source=memory.go:303 msg="offload to metal" layers... | {
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https://api.github.com/repos/ollama/ollama/issues/3628 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3628/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3628/comments | https://api.github.com/repos/ollama/ollama/issues/3628/events | https://github.com/ollama/ollama/issues/3628 | 2,241,654,325 | I_kwDOJ0Z1Ps6FnO41 | 3,628 | Fails to pull model | {
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```
❯ ollama pull gemma
pulling manifest
pulling ef311de6af9d... 100% ▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ 2.5 GB
Error: remove /Users/ahmetkca/.ollama/models/blobs/sha256-ef311de6af9db043d51ca4b1e766c28e... | null | {
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https://api.github.com/repos/ollama/ollama/issues/8130 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8130/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8130/comments | https://api.github.com/repos/ollama/ollama/issues/8130/events | https://github.com/ollama/ollama/pull/8130 | 2,743,930,230 | PR_kwDOJ0Z1Ps6FcJbC | 8,130 | llm: do not silently fail for supplied, but invalid formats | {
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} | Changes in #8002 introduced fixes for bugs with mangling JSON Schemas.
It also fixed a bug where the server would silently fail when clients
requested invalid formats. It also, unfortunately, introduced a bug
where the server would reject requests with an empty format, which
should be allowed.
The change in #812... | {
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https://api.github.com/repos/ollama/ollama/issues/5495 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5495/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5495/comments | https://api.github.com/repos/ollama/ollama/issues/5495/events | https://github.com/ollama/ollama/issues/5495 | 2,391,846,622 | I_kwDOJ0Z1Ps6OkK7e | 5,495 | The quality of the results returned by the embedding model become worse | {
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} | null | null | null | ### What is the issue?
The quality of the results returned by the embedding model now is much worse than the previous version.
### OS
Linux
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.1.48 | null | {
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https://api.github.com/repos/ollama/ollama/issues/2279 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2279/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2279/comments | https://api.github.com/repos/ollama/ollama/issues/2279/events | https://github.com/ollama/ollama/pull/2279 | 2,108,320,414 | PR_kwDOJ0Z1Ps5lefy5 | 2,279 | Add support for libcudart.so for CUDA devices (Adds Jetson support) | {
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} | Added libcudart.so support to gpu.go for CUDA devices that are missing libnvidia-ml.so. CUDA libraries split into nvml (libnvidia-ml.so) and cudart (libcudart.so), can work with either. Tested on Jetson device and on Windows 11 in WSL2.
Devices used to test:
Jetson Orin Nano 8Gb
Jetpack 5.1.2, L4T 35.4.1
CUDA 11-... | {
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I'm running Ollama on Windows Server. The setup seemed to work a few days ago, I was able to pull several models. Today I see an error that shows up immediately after a try to download a model by typing Ollama Run {model name} in powershell:
"Error: pull model manifest: 200: stream error: st... | {
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Regarding the feature request: It would be great to have a RSS feed for the blog to keep up with updates ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/2233 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2233/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2233/comments | https://api.github.com/repos/ollama/ollama/issues/2233/events | https://github.com/ollama/ollama/pull/2233 | 2,103,740,329 | PR_kwDOJ0Z1Ps5lPBCd | 2,233 | Support building from source with CUDA CC 3.5 and 3.7 support | {
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Fixes #1756 | {
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After installing ollama from ollama.com it is able to use my GPU but after rebooting it no longer is able to find the GPU giving the message:
```
CUDA driver version: 12-5
time=2024-06-11T11:46:56.544-07:00 level=DEBUG source=gpu.go:148 msg="detected GPUs" library="C:\\Program Files (x86)\\N... | {
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Could you connect api points for tokenize and detokenize on llama.cpp?
Thanks! | {
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```
curl http://server.local:11434/api/create -d '{
"name": "test_mistral",
"modelfile": "FROM mistral\nADAPTER /home/robot/adapter_model.bin"
}'
```
Apparently .bin files aren't in pytorch format so it doesn't work does anyone actu... | {
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https://api.github.com/repos/ollama/ollama/issues/7521 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7521/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7521/comments | https://api.github.com/repos/ollama/ollama/issues/7521/events | https://github.com/ollama/ollama/pull/7521 | 2,637,088,862 | PR_kwDOJ0Z1Ps6BAghe | 7,521 | Add GoLamify in Libraries section | {
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} | ### GoLamify Package
This PR adds the [GoLamify](https://github.com/prasad89/golamify), a Go package designed to simplify integration of Go projects with Ollama.
The GoLamify package provides an easy and efficient way to connect Go applications with Ollama services, allowing for seamless interaction and enhanced... | {
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} | null | null | null | ### What is the issue?
Ollama will report this error when running any model. The ollama-linux-amd64.tgz file is directly upgraded to version 0.3.14.
### OS
Linux
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.4.0 | null | {
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Whether using ollama run or curl to use the model, it is impossible to load the model into GPU memory
`docker logs ollama` for starting and loading the ollama model are as follows
```bash
2024/09/27 05:29:20 routes.go:1153: INFO server config env="map[CUDA_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL:... | {
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https://api.github.com/repos/ollama/ollama/issues/2724 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2724/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2724/comments | https://api.github.com/repos/ollama/ollama/issues/2724/events | https://github.com/ollama/ollama/issues/2724 | 2,152,213,008 | I_kwDOJ0Z1Ps6ASCoQ | 2,724 | Error running GEMMA:7b on Ollama via Docker | {
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Body:
**Description:**
I encountered an error while running GEMMA:7b on Ollama using Docker. Whenever I attempt to run the GEMMA:7b image, an error occurs.
**Steps to Reproduce:**
1. Deploy Ollama on Docker.
2. Run the GEMMA:7b image using the appropriate command.
3. See the error message that is displayed... | {
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https://api.github.com/repos/ollama/ollama/issues/7725 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7725/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7725/comments | https://api.github.com/repos/ollama/ollama/issues/7725/events | https://github.com/ollama/ollama/issues/7725 | 2,668,264,963 | I_kwDOJ0Z1Ps6fCn4D | 7,725 | How to check the actual location where the model file is saved, and the directory queried by 'ollama list' | {
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"node_id": "LA_kwDOJ0Z1Ps8AAAABjgU-sQ... | closed | false | null | [] | null | 2 | 2024-11-18T11:36:36 | 2024-11-18T12:35:16 | 2024-11-18T12:33:16 | NONE | {
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encountered an error while using the new model minicpm-v #6751，still this issue...
Since installing minicpm-v, my ollama version has always stayed at 0.3.6. My problem #6751 has never been solved. I have completely deleted ollama, restarted windows, and reinstalled ollama. As long as minicpm-... | {
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https://api.github.com/repos/ollama/ollama/issues/2179 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2179/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2179/comments | https://api.github.com/repos/ollama/ollama/issues/2179/events | https://github.com/ollama/ollama/pull/2179 | 2,099,212,292 | PR_kwDOJ0Z1Ps5lAMwY | 2,179 | add `--upgrade-all` flag to refresh any stale models | {
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} | This change allows you to run `ollama pull --upgrade-all` which will check each of your local models and upgrade any that are out of date. It uses Etags to check if there is a newer manifest, and then pulls that model if it has been updated.
| null | {
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https://api.github.com/repos/ollama/ollama/issues/4171 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4171/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4171/comments | https://api.github.com/repos/ollama/ollama/issues/4171/events | https://github.com/ollama/ollama/issues/4171 | 2,279,561,818 | I_kwDOJ0Z1Ps6H31pa | 4,171 | Inconsistent or unresponsive response in llama v0.1.33 using llava model | {
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**Environment:**
Operating System: Ubuntu 22.04
Hardware: NVIDIA RTX 4090 GPU and Intel Xeon Gold 6326 CPU
ollama Version: v0.1.33
Model Used: llava:34b-v1.6-q4_0
**Description:**
I am experiencing issues with the llava model in ollama v0.1.33, where it fails to respond appropriately t... | {
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https://api.github.com/repos/ollama/ollama/issues/5022 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5022/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5022/comments | https://api.github.com/repos/ollama/ollama/issues/5022/events | https://github.com/ollama/ollama/issues/5022 | 2,351,247,042 | I_kwDOJ0Z1Ps6MJS7C | 5,022 | GPU VRAM estimate not accounting for flash attetion | {
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"total": 0,
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} | null | null | null | ### What is the issue?
Hi,
I'm using a q6_K quant of of codestral-22 with a 18k context and flash attention enabled. I'm trying to get a higher context configured, but I always have VRAM left. It appears that the estimate does not account for the use of flash attention as I still have 2882 GB left.
```
NAME ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/1373 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1373/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1373/comments | https://api.github.com/repos/ollama/ollama/issues/1373/events | https://github.com/ollama/ollama/issues/1373 | 2,024,194,473 | I_kwDOJ0Z1Ps54psGp | 1,373 | Configuring/building from git cloned repo does not produce an ollama executable. | {
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go generate ./...
go build .
does not seem to end with an ollama executable code in the folder.
I am missing something? How does one build it and then install it?
From "go build ." I get the stuff below. Nothing has been changed in the code.
../go/pkg/mod/git... | {
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https://api.github.com/repos/ollama/ollama/issues/999 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/999/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/999/comments | https://api.github.com/repos/ollama/ollama/issues/999/events | https://github.com/ollama/ollama/pull/999 | 1,977,324,402 | PR_kwDOJ0Z1Ps5emHHy | 999 | add hass-ollama-conversation to community integrations | {
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} | Add custom home assistant integration [hass-ollama-conversation](https://github.com/ej52/hass-ollama-conversation) | {
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https://api.github.com/repos/ollama/ollama/issues/7423 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7423/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7423/comments | https://api.github.com/repos/ollama/ollama/issues/7423/events | https://github.com/ollama/ollama/issues/7423 | 2,624,652,456 | I_kwDOJ0Z1Ps6ccQSo | 7,423 | "model requires more system memory" When Running in Docker Container and Making Continue Plugin Request from Inside Intellij | {
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} | null | null | null | ### What is the issue?
I hope that this a PEBCAK issue and that there is quick environment setting, but with my searching I couldn't find one.
## TL;DR
When using the [Continue Plugin](https://plugins.jetbrains.com/plugin/22707-continue) in my Intellij and then configuring it to talk to my local Docker container... | {
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} | Detect potential error scenarios so we can fallback to CPU mode without hitting asserts.
This won't fix the underlying errors we're seeing in #1940 and #1877 but it should hopefully allow us to detect the non-working scenario and fallback to CPU. We still need to understand why `cudaGetDevice` is failing on these s... | {
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https://api.github.com/repos/ollama/ollama/issues/1415 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1415/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1415/comments | https://api.github.com/repos/ollama/ollama/issues/1415/events | https://github.com/ollama/ollama/issues/1415 | 2,030,673,808 | I_kwDOJ0Z1Ps55CZ-Q | 1,415 | Override SYSTEM parameter by commandline | {
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`ollama create choose-a-model-name -f <location of the file e.g. ./Modelfile>'`
B... | null | {
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https://api.github.com/repos/ollama/ollama/issues/2045 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2045/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2045/comments | https://api.github.com/repos/ollama/ollama/issues/2045/events | https://github.com/ollama/ollama/pull/2045 | 2,087,605,927 | PR_kwDOJ0Z1Ps5kY3RI | 2,045 | docker-compose: added initial compose yaml | {
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https://api.github.com/repos/ollama/ollama/issues/6072 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6072/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6072/comments | https://api.github.com/repos/ollama/ollama/issues/6072/events | https://github.com/ollama/ollama/issues/6072 | 2,437,660,658 | I_kwDOJ0Z1Ps6RS7_y | 6,072 | Unable to get Ollama and OpenwebUI working at all | {
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Hello All,
Does anyone have instructions on getting Ollama and WebUI working on a tower computer with the following specs: Intel Core i7-13700F 2.1GHz, GeForce RTX 4060 Ti 64GB, 64GB DDR5. **I tried all the following on Ubuntu Server 24.04 OS but can install any OS necessary**
I have it ru... | {
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The service seems like hang after some requests to /api/embeddings, and need to restart to recover
Here are some logs
```
[GIN] 2024/07/18 - 00:52:55 | 200 | 2.824880868s | 10.255.56.113 | POST "/api/embeddings"
time=2024-07-18T00:52:55.388Z level=INFO source=routes.go:298 msg="embed... | {
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https://api.github.com/repos/ollama/ollama/issues/4675 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4675/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4675/comments | https://api.github.com/repos/ollama/ollama/issues/4675/events | https://github.com/ollama/ollama/issues/4675 | 2,320,328,981 | I_kwDOJ0Z1Ps6KTWkV | 4,675 | phi3: Error: llama runner process has terminated: exit status 0xc0000409 | {
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ollama run phi3:medium-128k
ollama run phi3:3.8-mini-128k-instruct-q4_0
above two models will cause issue
Error: llama runner process has terminated: exit status 0xc0000409
### OS
Windows
### GPU
Other
### CPU
Intel
### Ollama version
0.1.38 | {
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} | null | null | null | ### What is the issue?
I'm deploying Ollama for some of the users in my organization who do not have local administrator rights. I wrote a script to symlink the ollama executable to /usr/local/bin/ollama for the user during install.
However, when they start the app, it still asks them to install the command line to... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7022 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7022/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7022/comments | https://api.github.com/repos/ollama/ollama/issues/7022/events | https://github.com/ollama/ollama/issues/7022 | 2,554,344,085 | I_kwDOJ0Z1Ps6YQDKV | 7,022 | Can we have a native integrated gpu support ? | {
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} | null | null | null | Its would be great to have ollama native support for igpus , for laptop use , it well free the cpu threads for other tasks , the igpu is that little device that we dont make use of it , despite performance , one wouls have his cpu for other tasks , llm-cpp & oneapi is not the solution in my opinion , specially for igpu... | {
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https://api.github.com/repos/ollama/ollama/issues/8438 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8438/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8438/comments | https://api.github.com/repos/ollama/ollama/issues/8438/events | https://github.com/ollama/ollama/pull/8438 | 2,789,135,889 | PR_kwDOJ0Z1Ps6Hz_Xm | 8,438 | docs: fixed path to examples | {
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} | null | null | null | I would like to deploy the semikong-8b model locally. Semikong is a large model fine-tuned from Llama focused on the semiconductor domain. You can find the model on Hugging Face at this link: “[https://huggingface.co/pentagoniac/SEMIKONG-8b-GPTQ](https://huggingface.co/pentagoniac/SEMIKONG-8b-GPTQ) and the GitHub repos... | {
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I have downloaded ollama3.1:8b using ollama. I am getting the following error while running llama3.1. llama3 runs fine on the same syste,.:
Error: llama runner process has terminated: signal: aborted
### OS
Windows 11 wsl2 Ubuntu
### GPU
GeForce RTX 4070
### CPU
_No respo... | {
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https://api.github.com/repos/ollama/ollama/issues/1627 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1627/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1627/comments | https://api.github.com/repos/ollama/ollama/issues/1627/events | https://github.com/ollama/ollama/issues/1627 | 2,050,301,561 | I_kwDOJ0Z1Ps56NR55 | 1,627 | Can't run dolphin-mixtral, llama runner process has terminated | {
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I have trouble running dolphin mixtral using ollama
When I type `ollama run dolphin-mixtral` the message "llama runner process has terminated" appears
This is the log:
```
llama_new_context_with_model: n_ctx = 4096
llama_new_context_with_model: freq_base = 1000000.0
llama_new_context_with_model: fr... | {
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https://api.github.com/repos/ollama/ollama/issues/1629 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1629/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1629/comments | https://api.github.com/repos/ollama/ollama/issues/1629/events | https://github.com/ollama/ollama/issues/1629 | 2,050,479,541 | I_kwDOJ0Z1Ps56N9W1 | 1,629 | [Bug] Allocation problems when trying to use phi model | {
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- R5 2600
- ram 32 gb
- 128 gb ssd sata
- nvidia gtx 960 4GB (this is a special version from MSI)
- Ollama:latest docker version
I used before ollama with llama2:7b that was slow (ofc the vram was at the li... | {
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https://api.github.com/repos/ollama/ollama/issues/4328 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4328/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4328/comments | https://api.github.com/repos/ollama/ollama/issues/4328/events | https://github.com/ollama/ollama/pull/4328 | 2,290,455,248 | PR_kwDOJ0Z1Ps5vIy6D | 4,328 | count memory up to NumGPU if set by user | {
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https://api.github.com/repos/ollama/ollama/issues/6112 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6112/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6112/comments | https://api.github.com/repos/ollama/ollama/issues/6112/events | https://github.com/ollama/ollama/pull/6112 | 2,441,451,506 | PR_kwDOJ0Z1Ps53EQnT | 6,112 | Add Braina AI as an Ollama Desktop GUI | {
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} | ### Overview
[Braina](https://www.brainasoft.com/braina/) supports Ollama natively on Windows. It automatically synchronizes with Ollama model lists, and allows users to use advanced features such as Voice (Both Speech to Text and Text to Speech), Web Search, File and Webpage attachments, Custom Prompts etc.
### Sc... | {
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https://api.github.com/repos/ollama/ollama/issues/144 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/144/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/144/comments | https://api.github.com/repos/ollama/ollama/issues/144/events | https://github.com/ollama/ollama/pull/144 | 1,814,557,715 | PR_kwDOJ0Z1Ps5WCFQ7 | 144 | remove unused code | {
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https://api.github.com/repos/ollama/ollama/issues/8071 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8071/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8071/comments | https://api.github.com/repos/ollama/ollama/issues/8071/events | https://github.com/ollama/ollama/pull/8071 | 2,736,185,344 | PR_kwDOJ0Z1Ps6FCKJr | 8,071 | llama: parse JSON schema using nlohmann::ordered_json | {
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} | PR #8002 has handled the JSON within Go to ensure we could keep the schema as-is, without affecting the order of the properties. However, when parsed within the cpp wrapper, `nlohmann::json` was used instead of relying on `nlohmann::ordered_json`. This PR simply changes the parser for the ordered one in order to mainta... | {
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Jun 04 00:46:12 localhost.localdomain ollama[114642]: llama_model_loader: - type f32: 108 tensors
Jun 04 00:46:12 localhost.localdomain ollama[114642]: llama_model_loader: - type q4_0: 268 tensors
Jun 04 00:46:12 localhost.localdomain ollama[114642]: llama_model_loader: - type q6_K: 1 te... | {
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When i use langchain in python , the ollama crashed . What model i use is "gemma:7b". when i use "llama2:7b" ollama is normal work. Is my memory is not support? My computer GPU memory is 8GB.
```pyhon
from langchain.llms.ollama import Ollama
from langchain_core.prompts import ChatPromptTem... | {
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https://api.github.com/repos/ollama/ollama/issues/3047 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3047/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3047/comments | https://api.github.com/repos/ollama/ollama/issues/3047/events | https://github.com/ollama/ollama/issues/3047 | 2,177,892,096 | I_kwDOJ0Z1Ps6Bz_8A | 3,047 | Ollama logging for ConnectionResetError | {
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"node_id": "LA_kwDOJ0Z1Ps8AAAABjgCL2Q... | closed | false | null | [] | null | 3 | 2024-03-10T20:30:30 | 2024-03-12T07:21:34 | 2024-03-12T07:21:34 | NONE | {
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It communicates well but after some exchanges I always get the following. It seems that I need to reset ollama via python or maybe context length is surpassed, how do I figure it out?
```
Traceback (most recent call last):
File "c:\Lib\site-packages\urllib3\connection... | {
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https://api.github.com/repos/ollama/ollama/issues/5337 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5337/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5337/comments | https://api.github.com/repos/ollama/ollama/issues/5337/events | https://github.com/ollama/ollama/issues/5337 | 2,378,812,185 | I_kwDOJ0Z1Ps6NycsZ | 5,337 | How can I set the parameter "num_return_sequences" to get multiple answers within one prompt? | {
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| null | {
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https://api.github.com/repos/ollama/ollama/issues/7862 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7862/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7862/comments | https://api.github.com/repos/ollama/ollama/issues/7862/events | https://github.com/ollama/ollama/issues/7862 | 2,698,619,827 | I_kwDOJ0Z1Ps6g2auz | 7,862 | no ssh key found | {
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"total": 0,
"completed": 0,
"percent_completed": 0
} | null | null | null | ### What is the issue?
I am trying to pull and run the tulu 8b model,but it says:pulling manifest
Error: pull model manifest: ssh: no key found,I don't know what's wrong.
![屏幕截图 2024-11-27 214649](https://github.c... | {
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https://api.github.com/repos/ollama/ollama/issues/5793 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5793/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5793/comments | https://api.github.com/repos/ollama/ollama/issues/5793/events | https://github.com/ollama/ollama/issues/5793 | 2,418,538,861 | I_kwDOJ0Z1Ps6QJ_lt | 5,793 | ollama 0.2.7 function call error "llama3 does not support tools" | {
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"total": 0,
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} | null | null | null | ### What is the issue?
ollama 0.2.7 function call error "llama3 does not support tools"
1. install ollama 0.2.7 in docker
2. ollama pull llama3
3. curl
```
curl --location --request POST 'http://localhost:11434/v1/chat/completions' \
--header 'Content-Type: application/json' \
--data-raw '{
"messages":... | {
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https://api.github.com/repos/ollama/ollama/issues/7861 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7861/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7861/comments | https://api.github.com/repos/ollama/ollama/issues/7861/events | https://github.com/ollama/ollama/issues/7861 | 2,698,335,036 | I_kwDOJ0Z1Ps6g1VM8 | 7,861 | Support AMD 780m | {
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https://api.github.com/repos/ollama/ollama/issues/7149 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7149/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7149/comments | https://api.github.com/repos/ollama/ollama/issues/7149/events | https://github.com/ollama/ollama/pull/7149 | 2,576,011,282 | PR_kwDOJ0Z1Ps5-Felo | 7,149 | Create ezaii.go | {
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https://api.github.com/repos/ollama/ollama/issues/2961 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2961/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2961/comments | https://api.github.com/repos/ollama/ollama/issues/2961/events | https://github.com/ollama/ollama/pull/2961 | 2,172,443,038 | PR_kwDOJ0Z1Ps5o49sr | 2,961 | cmd: document environment variables for serve command | {
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} | Updates #2944 | {
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`export OLLAMA_MODELS=/path/to/models/` | {
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"html_url": "https://github.com/josiahbryan",
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```
% ollama push josiahbryan/dragon-mistral-7b-v0-q4
retrieving manifest
Error: on pull registry responded with code 401: {"message":"Couldn't authorize"}
```
Suggestions? | {
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```
OLLAMA_HOST=https://redacted.fly.dev/ ollama run llama2:13b
Error: parse "https://redacted.fly.dev%2F:11434": invalid URL escape "%2F"
``` | {
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https://api.github.com/repos/ollama/ollama/issues/4327 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4327/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4327/comments | https://api.github.com/repos/ollama/ollama/issues/4327/events | https://github.com/ollama/ollama/pull/4327 | 2,290,454,200 | PR_kwDOJ0Z1Ps5vIyrx | 4,327 | Ollama `ps` command for showing currently loaded models | {
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} | This change adds a rudimentary `ps` command which makes use of the new scheduler changes in the server. The UX also
The UX for this depends on whether you're using the CPU, GPU, or a hybrid of both and looks like:
```
NAME ID SIZE PROCESSOR UNTIL
mistral:latest 61e88e884507 ... | {
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https://api.github.com/repos/ollama/ollama/issues/6026 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6026/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6026/comments | https://api.github.com/repos/ollama/ollama/issues/6026/events | https://github.com/ollama/ollama/issues/6026 | 2,433,920,762 | I_kwDOJ0Z1Ps6REq76 | 6,026 | The 1k context limit in Open-WebUI request is causing low-quality responses. | {
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When using open-webui, I've noticed that long contextual messages sent to ollama consistently result in poor responses. After investigating the issue, it appears that the `/api/chat` and `/v1/chat/completions` endpoints are defaulting to a 1k context limit. This means that when the content excee... | {
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https://api.github.com/repos/ollama/ollama/issues/3882 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3882/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3882/comments | https://api.github.com/repos/ollama/ollama/issues/3882/events | https://github.com/ollama/ollama/pull/3882 | 2,261,738,601 | PR_kwDOJ0Z1Ps5toGtE | 3,882 | AMD gfx patch rev is hex | {
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} | Correctly handle gfx90a discovery
Fixes #3809 | {
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OS: Linux 6.5.0-44-generic #44~22.04.1-Ubuntu
GPU:
AMD Radeon RX 7900 XTX (24 GiB VRAM)
AMD Radeon RX 7900 XTX (24 GiB VRAM)
AMD Radeon RX 7900 XTX (24 GiB VRAM)
Ollama version: 0.2.8
ROCm module version: 6.7.0
amdgpu-install_6.1.60103-1_all.deb
Model: Meta-Llam... | null | {
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} | null | null | null | ### What is the issue?
I once accidentally installed Ollama: 7b successfully.Afterwards, I executed the command olama pull llama2. But there was an error, and the error message is as follows
`
pulling manifest
Error: pull model manifest: Get "https://ollama.com/token?nonce=qKzQl7GvJl7HVA-mW_-3Ow&scope=repository%!A... | {
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https://api.github.com/repos/ollama/ollama/issues/3298 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3298/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3298/comments | https://api.github.com/repos/ollama/ollama/issues/3298/events | https://github.com/ollama/ollama/issues/3298 | 2,203,068,766 | I_kwDOJ0Z1Ps6DUCle | 3,298 | Vision with llava-1.6-7B is unusable via CLI | {
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The image recognition is very poor. It can't describe the picture properly and it also can't extract text. It seems to process a very downscaled image because it complains about the text being too small and it makes assumptions about image elements that seem to be likely but aren't true. It ha... | {
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https://api.github.com/repos/ollama/ollama/issues/8254 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8254/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8254/comments | https://api.github.com/repos/ollama/ollama/issues/8254/events | https://github.com/ollama/ollama/issues/8254 | 2,760,469,386 | I_kwDOJ0Z1Ps6kiWuK | 8,254 | ollama not use GPU: when using NVIDIA GPU, it detected amdgpu driver and then use CPU to compute | {
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I'm running ollama on a device with NVIDIA A100 80G GPU and Intel(R) Xeon(R) Gold 5320 CPU. I built Ollama using the command `make CUSTOM_CPU_FLAGS=""`, started it with `ollama serve`, and ran `ollama run llama2` to load the Llama2 model.
Problem:
Ollama is running on the CPU instead of the ... | {
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https://api.github.com/repos/ollama/ollama/issues/4403 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4403/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4403/comments | https://api.github.com/repos/ollama/ollama/issues/4403/events | https://github.com/ollama/ollama/issues/4403 | 2,292,851,077 | I_kwDOJ0Z1Ps6IqiGF | 4,403 | 为什么同样的脚本（Qwen1.5/examples/web_demo.py）去执行Qwen1.5-32B-Chat-GPTQ-Int4的推理时，4090 24G 比 V100 32G 回答速度快了5倍，这是什么原因，是显卡性能的问题，还是代码还有哪个配置没有打开，导致V100的计算能力没有发挥出来？ | {
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![Uploading 屏幕截图 2024-05-13 212724.png…]()
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https://api.github.com/repos/ollama/ollama/issues/3724 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3724/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3724/comments | https://api.github.com/repos/ollama/ollama/issues/3724/events | https://github.com/ollama/ollama/pull/3724 | 2,249,756,328 | PR_kwDOJ0Z1Ps5tADl6 | 3,724 | types/model: accept former `:` as a separator in digest | {
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https://api.github.com/repos/ollama/ollama/issues/4504 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4504/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4504/comments | https://api.github.com/repos/ollama/ollama/issues/4504/events | https://github.com/ollama/ollama/issues/4504 | 2,303,534,980 | I_kwDOJ0Z1Ps6JTSeE | 4,504 | on https://www.ollama.com/library add sort filter by model strengths | {
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on https://www.ollama.com/library it would be great to have some additional categories where you can sort models by their strengths based on various benchmarks. That way novices like me can figure out which models are good at what right from the ollama webpage.
Thanks,
Arjun | null | {
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https://api.github.com/repos/ollama/ollama/issues/5192 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5192/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5192/comments | https://api.github.com/repos/ollama/ollama/issues/5192/events | https://github.com/ollama/ollama/pull/5192 | 2,364,863,406 | PR_kwDOJ0Z1Ps5zGKOF | 5,192 | handle asymmetric embedding KVs | {
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} | KV size assumed a symmetric K and V embedding sizes which isn't always the case, e.g. deepseek v2
smoke tested memory usage against llama2, llama3, gemma, phi3, qwen2, and deepseek v2 | {
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https://api.github.com/repos/ollama/ollama/issues/5838 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5838/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5838/comments | https://api.github.com/repos/ollama/ollama/issues/5838/events | https://github.com/ollama/ollama/issues/5838 | 2,421,764,768 | I_kwDOJ0Z1Ps6QWTKg | 5,838 | ollama CORS check is case-sensitive | {
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} | null | null | null | ### What is the issue?
ollama uses `github.com/gin-contrib/cors` to check `Host` header for allowed origins (`OLLAMA_ORIGINS`). If the value of the `Host` is not all lowercase, the check fails.
```
$ curl -D - -s -H Host:localhost localhost:11434/api/version
HTTP/1.1 200 OK
Content-Type: application/json; char... | {
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https://api.github.com/repos/ollama/ollama/issues/6695 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6695/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6695/comments | https://api.github.com/repos/ollama/ollama/issues/6695/events | https://github.com/ollama/ollama/issues/6695 | 2,512,185,141 | I_kwDOJ0Z1Ps6VvOc1 | 6,695 | Q6_K is slower than Q8_0 | {
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} | null | null | null | ### What is the issue?
gemma2:9b-instruct-**q6_K** : gemma2:9b-instruct-**q8_0** = **21**t/s : **25**t/s
mistral-nemo:12b-instruct-2407-**q6_K** : mistral-nemo:12b-instruct-2407-**q8_0** = **17**t/s : **21**t/s
It used to be different.
### OS
macOS
### GPU
Apple
### CPU
Apple
### Ollama version
0.3.9 | {
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https://api.github.com/repos/ollama/ollama/issues/594 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/594/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/594/comments | https://api.github.com/repos/ollama/ollama/issues/594/events | https://github.com/ollama/ollama/pull/594 | 1,912,373,419 | PR_kwDOJ0Z1Ps5bK89D | 594 | exit on unknown distro | {
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https://api.github.com/repos/ollama/ollama/issues/8616 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8616/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8616/comments | https://api.github.com/repos/ollama/ollama/issues/8616/events | https://github.com/ollama/ollama/issues/8616 | 2,813,973,892 | I_kwDOJ0Z1Ps6nudWE | 8,616 | Ollama: torch.OutOfMemoryError: CUDA out of memory | {
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"total": 0,
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} | null | null | null | ### What is the issue?
Running some tests using pytest with the following 6 models. What I find is that if I run all tests with each model before go on to the next model, the tests mostly worked fine. 123/126 passed. But if I run each test against all 6 models sequentially and then go to the next test then I see han... | null | {
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https://api.github.com/repos/ollama/ollama/issues/4217 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4217/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4217/comments | https://api.github.com/repos/ollama/ollama/issues/4217/events | https://github.com/ollama/ollama/issues/4217 | 2,282,031,116 | I_kwDOJ0Z1Ps6IBQgM | 4,217 | how to load adapter | {
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"total": 0,
"completed": 0,
"percent_completed": 0
} | null | null | null | ### What is the issue?
how to load adapter
modelfile is the following:
FROM ./sha256-b6f248eff2d0c4f85d2f6369a27d99fc75686d67314a0b5d35a93c5aee5dcb14
TEMPLATE """{{ if .System }}<|start_header_id|>system<|end_header_id|>
{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>... | {
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https://api.github.com/repos/ollama/ollama/issues/4659 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4659/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4659/comments | https://api.github.com/repos/ollama/ollama/issues/4659/events | https://github.com/ollama/ollama/issues/4659 | 2,318,675,815 | I_kwDOJ0Z1Ps6KNC9n | 4,659 | no gpu detected with RTX 3060Ti | {
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"total": 0,
"completed": 0,
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} | null | null | null | ### What is the issue?
i have an RTX 3060 Ti and when I ran "curl -fsSL https://ollama.com/install.sh | sh" in ubuntu on WSL (using WSL for webUI) it installs fine, but at the end of install it says this:
" >>> Install complete. Run "ollama" from the command line.
WARNING: No NVIDIA/AMD GPU detected. Ollama will ... | {
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https://api.github.com/repos/ollama/ollama/issues/5893 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5893/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5893/comments | https://api.github.com/repos/ollama/ollama/issues/5893/events | https://github.com/ollama/ollama/pull/5893 | 2,426,203,697 | PR_kwDOJ0Z1Ps52RPTz | 5,893 | Fix Embed Test Flakes | {
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} | different results on different taters
e.g.
=== RUN TestAllMiniLMEmbeddings
2024/07/23 17:05:36 INFO server connection host=tater21 port=55426
2024/07/23 17:05:36 INFO checking status of model model=all-minilm
2024/07/23 17:05:36 INFO model already present model=all-minilm
embed_test.go:42: expected 0.0664... | {
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https://api.github.com/repos/ollama/ollama/issues/8029 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8029/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8029/comments | https://api.github.com/repos/ollama/ollama/issues/8029/events | https://github.com/ollama/ollama/pull/8029 | 2,730,798,743 | PR_kwDOJ0Z1Ps6Evhpy | 8,029 | Prevent model thrashing from unset num_ctx | {
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"followers_url": "https://api.github.com/... | [] | open | false | null | [] | null | 0 | 2024-12-10T17:54:00 | 2025-01-03T05:26:28 | null | COLLABORATOR | {
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} | TLDR: a model shouldn't be evicted due to num_ctx change if the client doesn't care about context size.
Client A loads a model with a context window different to the default or the value configured in the Modelfile:
```console
$ curl localhost:11434/api/generate -d '{"model":"llama3.2","options":{"num_ctx":65536}}... | null | {
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https://api.github.com/repos/ollama/ollama/issues/3553 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3553/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3553/comments | https://api.github.com/repos/ollama/ollama/issues/3553/events | https://github.com/ollama/ollama/issues/3553 | 2,233,054,415 | I_kwDOJ0Z1Ps6FGbTP | 3,553 | Embedding endpoint not available on windows. | {
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"total": 0,
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} | null | null | null | ### What is the issue?
I installed latest version of windows of ollama v0.1.31 and I can't seem to be able to use the new embedding functionalities.
For example , this url http://localhost:11434/api/embeddings gives me 404 not found.
The above exception was the direct cause of the following exception:
```
Tr... | {
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https://api.github.com/repos/ollama/ollama/issues/7979 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7979/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7979/comments | https://api.github.com/repos/ollama/ollama/issues/7979/events | https://github.com/ollama/ollama/pull/7979 | 2,724,003,265 | PR_kwDOJ0Z1Ps6EYMhx | 7,979 | bugfix: "null" value for format | {
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} | Fixes https://github.com/ollama/ollama/issues/7977 | {
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https://api.github.com/repos/ollama/ollama/issues/3235 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3235/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3235/comments | https://api.github.com/repos/ollama/ollama/issues/3235/events | https://github.com/ollama/ollama/issues/3235 | 2,194,117,935 | I_kwDOJ0Z1Ps6Cx5Uv | 3,235 | Cannot install on Fedora 39 Silverblue: error: Packages not found: ./ollama-linux-amd64 | {
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} | null | null | null | ### What is the issue?
Package from the releases page will not install with `rpm-ostree install ./ollama-linux-amd64`
Also when using the install script: `curl -fsSL https://ollama.com/install.sh | sh` it does not create `ollama` folder under `/usr/share`
When installing in a toolbox it cannot find the GPU.
... | {
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