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"total": 0,
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} | null | null | null | ### What is the issue?
When I set launchctl setenv OLLAMA_HOST "0.0.0.0" and restart the Ollama ap everything works as expected and I can access the API from other devices on my network.
However when I reboot my Mac the OLLAMA_HOST reverts back to 127.0.0.1 and I have to run launchctl setenv OLLAMA_HOST "0.0.0.0" ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7792 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7792/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7792/comments | https://api.github.com/repos/ollama/ollama/issues/7792/events | https://github.com/ollama/ollama/issues/7792 | 2,682,300,269 | I_kwDOJ0Z1Ps6f4Kdt | 7,792 | Mistral Large instruct template | {
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Hello ,
Ollama seems no apply a good template for Mistral Large:
https://huggingface.co/mistralai/Mistral-Large-Instruct-2411#basic-instruct-template-v7
mistral gives a SYSTEM_PROMPT token not apply:
<s>[SYSTEM_PROMPT] <system prompt>[/SYSTEM_PROMPT][INST] <user message>[/INST] ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/1309 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1309/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1309/comments | https://api.github.com/repos/ollama/ollama/issues/1309/events | https://github.com/ollama/ollama/issues/1309 | 2,015,536,052 | I_kwDOJ0Z1Ps54IqO0 | 1,309 | [WSL2] Cuda error 222 : the provided PTX was compiled with an unsupported toolchain. | {
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```
ollama-ollama-1 | 2023/11/29 00:36:04 llama.go:292: 3676 MB VRAM available, loading up to 21 GPU layers
ollama-ollama-1 | 2023/11/29 00:36:04 llama.go:421: starting... | {
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https://api.github.com/repos/ollama/ollama/issues/2825 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2825/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2825/comments | https://api.github.com/repos/ollama/ollama/issues/2825/events | https://github.com/ollama/ollama/issues/2825 | 2,160,283,652 | I_kwDOJ0Z1Ps6Aw1AE | 2,825 | CPU does not have AVX or AVX2, disabling GPU support. | {
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"followers_url": "https://api.github.com/... | [] | closed | false | null | [] | null | 4 | 2024-02-29T03:32:54 | 2024-03-01T17:45:47 | 2024-03-01T17:45:46 | NONE | {
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} | null | null | null | I can enable GPU using pytorch.
But using ollama, the above log is displayed.
I would like to ask if it can support GPU. In CPU “does not have AVX or AVX2”
```
time=2024-02-29T11:21:58.722+08:00 level=INFO source=images.go:710 msg="total blobs: 5"
time=2024-02-29T11:21:58.752+08:00 level=INFO source=images.go:71... | {
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https://api.github.com/repos/ollama/ollama/issues/7195 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7195/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7195/comments | https://api.github.com/repos/ollama/ollama/issues/7195/events | https://github.com/ollama/ollama/issues/7195 | 2,584,627,655 | I_kwDOJ0Z1Ps6aDknH | 7,195 | 怎样在本地建一个ollama.com/library的服务 | {
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"total": 0,
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} | null | null | null | ### What is the issue?
能在本地建一个ollama.com/library的服务吗？
我用Modelfile时，内容是
FROM http://19.18.5.127/temp/myqwen7b.gguf
会出现错误
Error: pull model manifest: Get "http://19.18.5.127/v2/temp/myqwen7b.gguf/manifests/latest": EOF
要怎样提供一个本地的拉取服务？
### OS
_No response_
### GPU
_No response_
### CPU
_No response_
###... | {
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https://api.github.com/repos/ollama/ollama/issues/6662 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6662/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6662/comments | https://api.github.com/repos/ollama/ollama/issues/6662/events | https://github.com/ollama/ollama/pull/6662 | 2,508,748,864 | PR_kwDOJ0Z1Ps56k9iG | 6,662 | Revert "Detect running in a container" | {
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} | Reverts ollama/ollama#6495
Turns out this doesn't actually work on many platforms, so it doesn't serve much purpose. | {
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https://api.github.com/repos/ollama/ollama/issues/10 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/10/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/10/comments | https://api.github.com/repos/ollama/ollama/issues/10/events | https://github.com/ollama/ollama/pull/10 | 1,779,294,455 | PR_kwDOJ0Z1Ps5UKP1q | 10 | add with symlink | {
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https://api.github.com/repos/ollama/ollama/issues/8045 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8045/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8045/comments | https://api.github.com/repos/ollama/ollama/issues/8045/events | https://github.com/ollama/ollama/issues/8045 | 2,732,812,651 | I_kwDOJ0Z1Ps6i42lr | 8,045 | Ollama run hf.co - Error 401: Invalid username or password | {
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I am using a private model on hf and try to run it like this:
```
huggingface-cli login --token hf_xxx
ollama run hf.co/BGR/Llama-3.2-1B-I-p:latest
```
However I get this error from ollama:
```
pulling manifest
Error: pull model manifest: 401: {"error":"Invalid username or password... | {
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} | null | null | null | ### What is the issue?
I followed all possible guide online,
either using curl and your install.sh, the docker, or the snap package and I could manage to install ollama, not clear how to compile the code (there is no configure file). The main issue is that everyzthing has been prepared for arm64 and not for my archit... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7100 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7100/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7100/comments | https://api.github.com/repos/ollama/ollama/issues/7100/events | https://github.com/ollama/ollama/issues/7100 | 2,565,820,022 | I_kwDOJ0Z1Ps6Y7052 | 7,100 | mixtral:8x22b model does not work with system prompt only | {
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The `mixtral:8x22b-instruct` model does not work correctly when only the system prompt is provided. In such cases, an empty prompt is sent, leading to irrelevant output.
This behavior may be related to the internal handling of prompts or recent changes made in the system prompt handling, as... | {
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https://api.github.com/repos/ollama/ollama/issues/629 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/629/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/629/comments | https://api.github.com/repos/ollama/ollama/issues/629/events | https://github.com/ollama/ollama/pull/629 | 1,916,664,927 | PR_kwDOJ0Z1Ps5bZf4X | 629 | Update modelfile.md to reflect the usage of num_gpu. | {
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} | The current docs for the parameter num_gpu are inaccurate for linux.
Ref: https://github.com/jmorganca/ollama/issues/618 | {
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https://api.github.com/repos/ollama/ollama/issues/1722 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1722/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1722/comments | https://api.github.com/repos/ollama/ollama/issues/1722/events | https://github.com/ollama/ollama/issues/1722 | 2,056,612,248 | I_kwDOJ0Z1Ps56lWmY | 1,722 | How to update a model in a timely manner? | {
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} | null | null | null | So here is what I am trying to do -
1)Create a custom Ollama model by giving it data exported from Snowflake database tables. Data in Snowflake tables is already in a Golden Format. Have additional follow up questions on my requirement -
A)Instead of creating the model using -f (file with data exported from Sno... | {
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https://api.github.com/repos/ollama/ollama/issues/7205 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7205/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7205/comments | https://api.github.com/repos/ollama/ollama/issues/7205/events | https://github.com/ollama/ollama/pull/7205 | 2,587,277,772 | PR_kwDOJ0Z1Ps5-moX0 | 7,205 | Clear screen when `/clear` command is used in interactive mode | {
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} | Use ANSI escape codes to clear the terminal and reset the cursor's position with the `/clear` command. | {
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https://api.github.com/repos/ollama/ollama/issues/2614 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2614/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2614/comments | https://api.github.com/repos/ollama/ollama/issues/2614/events | https://github.com/ollama/ollama/issues/2614 | 2,144,424,882 | I_kwDOJ0Z1Ps5_0VOy | 2,614 | AutoModelForCausalLM and .ollama/models | {
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} | null | null | null | Can we create an instance of `AutoModelForCausalLM` from downloaded language models `~/.ollama/models`?
By this, the finetunning and using finetuned model via ollama would be easier.
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "mistralai/Mixtral-8x7B-v0.1"
tokenizer = AutoT... | {
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https://api.github.com/repos/ollama/ollama/issues/5395 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5395/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5395/comments | https://api.github.com/repos/ollama/ollama/issues/5395/events | https://github.com/ollama/ollama/issues/5395 | 2,382,431,501 | I_kwDOJ0Z1Ps6OAQUN | 5,395 | CUBLAS_STATUS_ALLOC_FAILED with deepseek-coder-v2:16b | {
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} | null | null | null | ### What is the issue?
when running deepseek-coder-v2:16b on NVIDIA GeForce RTX 3080 Laptop GPU, I have this crash report:
```
Error: llama runner process has terminated: signal: aborted (core dumped) CUDA error: CUBLAS_STATUS_ALLOC_FAILED
current device: 0, in function cublas_handle at /go/src/github.com/ollama/... | null | {
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https://api.github.com/repos/ollama/ollama/issues/1142 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1142/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1142/comments | https://api.github.com/repos/ollama/ollama/issues/1142/events | https://github.com/ollama/ollama/issues/1142 | 1,995,407,192 | I_kwDOJ0Z1Ps52739Y | 1,142 | Add support for llamacpp min_p sampler | {
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It supposed to give better results compared to top_k, top_p. I tried to add this min_p - parameter to llama options, but it was unrecognized. | {
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https://api.github.com/repos/ollama/ollama/issues/2555 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2555/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2555/comments | https://api.github.com/repos/ollama/ollama/issues/2555/events | https://github.com/ollama/ollama/issues/2555 | 2,139,747,300 | I_kwDOJ0Z1Ps5_ifPk | 2,555 | `EOF` error on `/api/chat` or `/api/generate` | {
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* It seems to have installed successfully too, but it just seems like there's some error in the starting of the server?
* I tried to add a --v for a more verbose understandin... | {
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https://api.github.com/repos/ollama/ollama/issues/8564 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8564/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8564/comments | https://api.github.com/repos/ollama/ollama/issues/8564/events | https://github.com/ollama/ollama/issues/8564 | 2,809,178,195 | I_kwDOJ0Z1Ps6ncKhT | 8,564 | Error: server metal not listed in available servers map | {
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} | null | null | null | ### What is the issue?
I downloaded Ollama today on my Macbook (Apple M3 Pro, with MacOS Sonoma 14.3 23D56), and tried to run deepseek-r1:8b, but ollama failed with this error:
> $ ollama run deepseek-r1:8b
> Error: [0] server metal not listed in available servers map[]
p.s. I can run this model with llama-cli on th... | null | {
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According to docs, this should download even pre-release versions:
```bash
curl -fsSL https://ollama.com/install.sh | OLLAMA_VERSION=X.Y.Z sh
```
However, it fails with `404` for `0.4.0` which is a pre-release version (latest stable works)
### OS
Linux
### GPU
AMD
### CPU
AMD
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} | Trying to live off the land for cuda libraries was not the right strategy. We need to use the version we compiled against to ensure things work properly.
This is most likely going to break Jetson v11 systems, but it turns out the change to favor host cuda libraries is breaking
quite a few users.
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https://api.github.com/repos/ollama/ollama/issues/2866 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2866/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2866/comments | https://api.github.com/repos/ollama/ollama/issues/2866/events | https://github.com/ollama/ollama/pull/2866 | 2,163,669,751 | PR_kwDOJ0Z1Ps5obHs7 | 2,866 | chore: update readme, add open-webui | {
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} | null | null | null | ### What is the issue?
I've ran `ollama run llama3:70b` on Mac and CLI pulled 40GB of data that is not stored in ~/.ollama.
`ollama list` shows no models.
Where the heck is the data? How to clean it up?
### OS
macOS
### GPU
_No response_
### CPU
_No response_
### Ollama version
0.1.48 | {
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} | This Chrome extension will help users interact with the UI. Users can download and delete models from the UI, along with many other features. | {
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https://hf.rst.im/dunzhang/stella_en_400M_v5
since we have also https://ollama.com/Losspost/stella_en_1.5b_v5 | null | {
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https://api.github.com/repos/ollama/ollama/issues/8298 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8298/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8298/comments | https://api.github.com/repos/ollama/ollama/issues/8298/events | https://github.com/ollama/ollama/pull/8298 | 2,768,088,834 | PR_kwDOJ0Z1Ps6GsIFr | 8,298 | api: remove unused create fields | {
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https://api.github.com/repos/ollama/ollama/issues/8547 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8547/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8547/comments | https://api.github.com/repos/ollama/ollama/issues/8547/events | https://github.com/ollama/ollama/issues/8547 | 2,806,414,251 | I_kwDOJ0Z1Ps6nRnur | 8,547 | deepseek-r1 `qwen` variants use a new pre-tokenizer, which is not implemented in the llama.cpp version used | {
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The newly supported `deepseek-r1` model variants that have `distill-qwen` in the name use a new pre-tokenizer. Support for this has been added to the latest llama.cpp (not sure if the release version or just the latest commit on the main branch).
The backend llama.cpp that Ollama uses should b... | null | {
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```
curl http://localhost:11434/api/embed \
-H "Content-Type: application/json" \
-d '{
"input": "",
"model": "all-minilm"
}'
{"model":"all-minilm"}
```
After:
```
curl http://localhost:11434/api/embed \
-H "Con... | {
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} | null | null | null | ### What model would you like?
Can we add MiniCPM model?
https://github.com/OpenBMB/MiniCPM
https://huggingface.co/collections/openbmb/minicpm-2b-65d48bf958302b9fd25b698f | {
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} | null | null | null | *'FROM' is not recognized as an internal or external command,*
C:\Users\LaksmanP>FROM llama3.1 PARAMETER temperature 1
'FROM' is not recognized as an internal or external command,
operable program or batch file.
this message showing when I set parameter after pulling the model.
### OS
Windows
### GPU
... | {
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## What is the problem?
I was importing the llama 3.1 8B model from huggingface (`meta-llama/Meta-Llama-3.1-8B-Instruct`) using `ollama create -f Modelfile` but i got this error:
`Error: json: cannot unmarshal array into Go struct field Params.eos_token_id of type int`
I found the shallow cau... | {
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After a while of using Ollama, the LLM becomes completely unresponsive and there's no CPU or GPU usage during that time. This happens with LLAMA3.2 and LLAMA3.2:1B. Here are the logs.
`
Dec 21 00:37:03 olivi ollama[627]: [GIN] 2024/12/21 - 00:37:03 | 200 | 816.217µs | 172.17.0.2 | GE... | {
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I run "ollama serve", while it reports that "no GPU detected" and ""[cudart] error looking up CUDART GPU memory: cudart device memory info lookup failure 2"". But no such problems four days ago.
![屏幕截图 2024-04-09 144347](https://github.com/ollama/ollama/assets/71173795/b9c853a7-e4be-42ec-b4b1... | {
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I'm on Windows 11 with an Nvidia GeForce RTX 3060 video card. I've already used ollama with a smaller LLM that I pulled. I started a pull of a large LLM, mistral-large. It seems it would take 3 hours on my PC and it's really slowing down my network. So I stopped the download/pull.
1. If I ... | {
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} | First pass at solving #335. Converted the bash script provided by [supersonictw](https://github.com/supersonictw) to golang.
Export a model by running `ollama export <model> <output>`. For example `ollama export llama3:latest llama-backup`. | null | {
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ollama-server does not run the large model for a period of time. When running the large model again, an error message is displayed: server cpu not listed in available servers map[]
Every time I restart Ollama, everything returns to normal.
I have seen many users encounter similar situations on... | {
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https://api.github.com/repos/ollama/ollama/issues/2257 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2257/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2257/comments | https://api.github.com/repos/ollama/ollama/issues/2257/events | https://github.com/ollama/ollama/issues/2257 | 2,106,141,111 | I_kwDOJ0Z1Ps59iSm3 | 2,257 | [ask] Where can I see the version of llama.cpp used for each version of ollama? | {
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https://api.github.com/repos/ollama/ollama/issues/8606 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8606/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8606/comments | https://api.github.com/repos/ollama/ollama/issues/8606/events | https://github.com/ollama/ollama/issues/8606 | 2,812,491,291 | I_kwDOJ0Z1Ps6nozYb | 8,606 | Why doesn't my ollama use GPU | {
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![Image](https://github.com/user-attachments/asse... | {
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https://api.github.com/repos/ollama/ollama/issues/4356 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4356/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4356/comments | https://api.github.com/repos/ollama/ollama/issues/4356/events | https://github.com/ollama/ollama/pull/4356 | 2,290,855,984 | PR_kwDOJ0Z1Ps5vKGoy | 4,356 | Refactor parsing model configuration | {
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https://api.github.com/repos/ollama/ollama/issues/2818 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2818/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2818/comments | https://api.github.com/repos/ollama/ollama/issues/2818/events | https://github.com/ollama/ollama/issues/2818 | 2,159,956,174 | I_kwDOJ0Z1Ps6AvlDO | 2,818 | DNS `i/o timeout` when running `ollama pull` | {
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```
pulling manifest
Error: pull model manifest: Get "https://registry.ollama.ai/v2/library/mixtral/manifests/latest": dial tcp: lookup registry.ollama.ai on 172.25.9... | null | {
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https://api.github.com/repos/ollama/ollama/issues/3559 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3559/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3559/comments | https://api.github.com/repos/ollama/ollama/issues/3559/events | https://github.com/ollama/ollama/pull/3559 | 2,233,882,790 | PR_kwDOJ0Z1Ps5sJ6U- | 3,559 | ci: use go-version-file | {
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https://api.github.com/repos/ollama/ollama/issues/772 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/772/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/772/comments | https://api.github.com/repos/ollama/ollama/issues/772/events | https://github.com/ollama/ollama/pull/772 | 1,940,812,525 | PR_kwDOJ0Z1Ps5cra6Y | 772 | linux: add user to the `ollama` group on install | {
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resolves #613 | {
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https://api.github.com/repos/ollama/ollama/issues/3468 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3468/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3468/comments | https://api.github.com/repos/ollama/ollama/issues/3468/events | https://github.com/ollama/ollama/pull/3468 | 2,221,684,533 | PR_kwDOJ0Z1Ps5rgCYZ | 3,468 | feat: add NeuralSpeed backend to boost up the inference speed on CPU | {
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} | This PR is used to integrate NeuralSpeed as a new backend in Ollama to provide better performance on x86_64 platforms.
[NeuralSpeed](https://github.com/intel/neural-speed) is an LLM acceleration library by providing high efficient GEMM kernel and fusions on AVX/AVX2/AVX512. We can achieve better performance like [h... | {
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Please tell me when will the Baichuan series models be supported? | {
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https://api.github.com/repos/ollama/ollama/issues/3359 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3359/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3359/comments | https://api.github.com/repos/ollama/ollama/issues/3359/events | https://github.com/ollama/ollama/issues/3359 | 2,207,847,294 | I_kwDOJ0Z1Ps6DmRN- | 3,359 | Ollama Logo | {
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![_cc4036ed-af48-4625-a85c-28b9e0b72249](https://github.co... | {
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https://api.github.com/repos/ollama/ollama/issues/2410 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2410/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2410/comments | https://api.github.com/repos/ollama/ollama/issues/2410/events | https://github.com/ollama/ollama/pull/2410 | 2,125,053,307 | PR_kwDOJ0Z1Ps5mXqrK | 2,410 | Added Encoding endpoint | {
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Some thoughts:
- Im not sure whether replicating the logic that modifies the prompt (the same as the generate function is correct here or whether we sho... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7381 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7381/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7381/comments | https://api.github.com/repos/ollama/ollama/issues/7381/events | https://github.com/ollama/ollama/issues/7381 | 2,616,234,948 | I_kwDOJ0Z1Ps6b8JPE | 7,381 | Unrooted Termux install process | {
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} | null | null | null | ### What is the issue?
I am endeavouring to set up an `ollama` server on my unrooted Termux host environment, please refer:
https://github.com/ollama/ollama/issues/7349#issuecomment-2439776813
and
https://github.com/ollama/ollama/issues/7292#issuecomment-2439781839
@vpnry @dhiltgen So, the process is:
#... | null | {
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https://api.github.com/repos/ollama/ollama/issues/2021 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2021/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2021/comments | https://api.github.com/repos/ollama/ollama/issues/2021/events | https://github.com/ollama/ollama/pull/2021 | 2,084,753,027 | PR_kwDOJ0Z1Ps5kPKJD | 2,021 | Update README.md - Library - Haystack | {
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} | Updated readme with the web link for haystack ollama integration | {
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https://api.github.com/repos/ollama/ollama/issues/4649 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4649/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4649/comments | https://api.github.com/repos/ollama/ollama/issues/4649/events | https://github.com/ollama/ollama/issues/4649 | 2,317,761,490 | I_kwDOJ0Z1Ps6KJjvS | 4,649 | Settings File In Addition to Environment Flags | {
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} | null | null | null | Now there are quite a few features relying on environment variable.
Can we have a way to control those features using settings file like ~/.ollama/settings.yaml for in MacOS?
```yaml
OLLAMA_HOST: "0.0.0.0"
OLLAMA_NOHISTORY: true
OLLAMA_FLASH_ATTENTION: true
OLLAMA_NUM_PARALLEL: 4
OLLAMA_MAX_LOADED: 2
```
T... | {
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https://api.github.com/repos/ollama/ollama/issues/4752 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4752/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4752/comments | https://api.github.com/repos/ollama/ollama/issues/4752/events | https://github.com/ollama/ollama/issues/4752 | 2,328,183,732 | I_kwDOJ0Z1Ps6KxUO0 | 4,752 | Multi-GPU and batch management | {
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I'm confident that a feature enabling multi-GPU optimization and batch management would be beneficial.
I may have made a mistake, as I couldn't effectively use the `ollama_num_parallel` and `ollama_max_loaded_models` settings to optimize my Linux VM, which has four A100 80GB GPUs, using Llama3:70b-instruc... | null | {
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https://api.github.com/repos/ollama/ollama/issues/6415 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6415/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6415/comments | https://api.github.com/repos/ollama/ollama/issues/6415/events | https://github.com/ollama/ollama/issues/6415 | 2,472,764,600 | I_kwDOJ0Z1Ps6TY2S4 | 6,415 | Feature Request: Adding FalconMamba 7B Instruct in `ollama` | {
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} | null | null | null | FalconMamba is being added here in llama.cpp: https://github.com/ggerganov/llama.cpp/pull/9074 it would be nice to have the first SSM-based LLM on ollama !
Instruct weights: https://huggingface.co/tiiuae/falcon-mamba-7b-instruct
GGUF weights: https://huggingface.co/collections/tiiuae/falconmamba-7b-66b9a580324dd159... | null | {
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https://api.github.com/repos/ollama/ollama/issues/666 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/666/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/666/comments | https://api.github.com/repos/ollama/ollama/issues/666/events | https://github.com/ollama/ollama/issues/666 | 1,920,870,201 | I_kwDOJ0Z1Ps5yfic5 | 666 | Linux Installation `curl` command fails | {
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This leads to:
```
>>> Downloading ollama...
Warning: Failed to open the file /tmp/tmp.hE5cI4TvS7/ollama: No such file or 0%##O#-#
Warning: directory
curl: (23) Failure writing output to destination
```
Ubuntu 22.04.3 LTS | {
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1. Have an init container that talks to the ollama container and installs the models, not very good because I can't cache that, so everytim... | {
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I am trying to run llama3 models but getting this error on both pip installation and linux installation on a server with Tesla T4 GPU, but the same is working fine on my local machine.
### OS
Linux
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.3.3 | {
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[I typed up the full problem here (with examples)](https://www.reddit.com/r/ollama/comments/1egddvv/getting_ollama_to_work_with_very_long_system/)
TL;DR, if I try to run Ollama with a very long system prompt, it seems to completely ignore it. Happy to provide as much detail as you need to fix... | {
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`ollama which somemodel` to determine which models I can run
`ollama max somemodel` to choose the largest model from a list that ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/2663 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2663/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2663/comments | https://api.github.com/repos/ollama/ollama/issues/2663/events | https://github.com/ollama/ollama/issues/2663 | 2,148,213,419 | I_kwDOJ0Z1Ps6ACyKr | 2,663 | gemma crashes ollama | {
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https://api.github.com/repos/ollama/ollama/issues/6658 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6658/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6658/comments | https://api.github.com/repos/ollama/ollama/issues/6658/events | https://github.com/ollama/ollama/pull/6658 | 2,508,535,448 | PR_kwDOJ0Z1Ps56kOem | 6,658 | openai: support for structured outputs | {
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} | This PR is enabling the [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs/supported-schemas) feature available on OpenAI.
Using the math reasoning example they have on their website, here's the response of both OpenAI and Ollama using the exact same request:
OpenAI (gpt-4o-2024-08-06... | {
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https://www.reddit.com/r/LocalLLaMA/comments/1b0c6u8/llama_2_inference_with_pytorch_on_intel_arc/
The Intel Arc A770 is a powerful graphics card that is well-suited for a variety of tasks, including machine learning. It has 16GB of GDDR6 memory, a 256-bit memory interfac... | {
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This was tested specifically with `/api/generate` and `react-native-sse`.
https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events
Stream responses sent in ollama doesn't seem to conform to SSE specifications, and breaks when using it with EventSource-li... | {
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https://api.github.com/repos/ollama/ollama/issues/8425 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8425/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8425/comments | https://api.github.com/repos/ollama/ollama/issues/8425/events | https://github.com/ollama/ollama/issues/8425 | 2,788,066,594 | I_kwDOJ0Z1Ps6mLoUi | 8,425 | The models only work on CPU, but cannot work on GPU | {
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Jan 15 01:51:05 root ollama[600447]: time=2025-01-15T01:51:05.970+08:00 level=INFO source=server.go:104 msg="system memory" total="503.7 GiB" free="436.7 GiB" free_swap="228.0 KiB"
Jan 15 01:51:05 root ollama[600447]: time=2025-01-15T01:51:05.970+08:00 level=WARN source=config.go:215 msg="invali... | {
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https://api.github.com/repos/ollama/ollama/issues/3331 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3331/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3331/comments | https://api.github.com/repos/ollama/ollama/issues/3331/events | https://github.com/ollama/ollama/pull/3331 | 2,204,621,276 | PR_kwDOJ0Z1Ps5qmPbn | 3,331 | Integration tests conditionally pull | {
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} | If images aren't present, pull them.
Also fixes the expected responses | {
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https://api.github.com/repos/ollama/ollama/issues/713 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/713/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/713/comments | https://api.github.com/repos/ollama/ollama/issues/713/events | https://github.com/ollama/ollama/issues/713 | 1,929,063,501 | I_kwDOJ0Z1Ps5y-yxN | 713 | Using ollama with llm-ls | {
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As suggested in the ollama docs, this is what the locally running API may expect as a FIM request.
```sh
curl -X POST http://localhost:11434/api/generate -d '{
"model": "codellama:7b-code",
"prompt": "<PRE> def co... | {
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https://api.github.com/repos/ollama/ollama/issues/6327 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6327/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6327/comments | https://api.github.com/repos/ollama/ollama/issues/6327/events | https://github.com/ollama/ollama/pull/6327 | 2,461,920,588 | PR_kwDOJ0Z1Ps54KDhn | 6,327 | convert safetensor adapters into GGUF | {
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} | This change converts a Safetensors based LoRA into GGUF and ties it w/ a base model. Only llama2/llama3/mistral/gemma2 will work initially. You can create the Modelfile to look like:
```
FROM llama3
ADAPTER /path/to/my/safetensor/adapter/directory
```
I'll add in some tests, but wanted to get this out so peopl... | {
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https://api.github.com/repos/ollama/ollama/issues/2547 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2547/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2547/comments | https://api.github.com/repos/ollama/ollama/issues/2547/events | https://github.com/ollama/ollama/issues/2547 | 2,139,186,178 | I_kwDOJ0Z1Ps5_gWQC | 2,547 | Dynamically determine context window at runtime | {
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https://api.github.com/repos/ollama/ollama/issues/542 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/542/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/542/comments | https://api.github.com/repos/ollama/ollama/issues/542/events | https://github.com/ollama/ollama/issues/542 | 1,899,551,212 | I_kwDOJ0Z1Ps5xONns | 542 | Creating new models | {
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```
### Customize a model
Pull a base model:
```
ollama pull llama2
```
Create a `Modelfile`:
```
FROM llama2
# set the temperature to 1 [higher is more creative, lower is more coherent]
PARAMETER temperature 1
# set the system prompt
SYSTEM """
You are Mario from Super ... | {
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https://api.github.com/repos/ollama/ollama/issues/5282 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5282/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5282/comments | https://api.github.com/repos/ollama/ollama/issues/5282/events | https://github.com/ollama/ollama/pull/5282 | 2,373,645,578 | PR_kwDOJ0Z1Ps5zjGy9 | 5,282 | Docs for `api/embed` | {
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} | Waiting on #5127 | {
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https://api.github.com/repos/ollama/ollama/issues/3336 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3336/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3336/comments | https://api.github.com/repos/ollama/ollama/issues/3336/events | https://github.com/ollama/ollama/issues/3336 | 2,205,087,465 | I_kwDOJ0Z1Ps6Dbvbp | 3,336 | ollama.ai certificate has expired, not possible to download models | {
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"total": 0,
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} | null | null | null | ### What is the issue?
The ollama.ai certificate has expired today, ollama now can't download models:
```
ollama run mistral
pulling manifest
Error: pull model manifest: Get "https://registry.ollama.ai/v2/library/mistral/manifests/latest": tls: failed to verify certificate: x509: certificate has expired or is n... | {
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https://api.github.com/repos/ollama/ollama/issues/6550 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6550/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6550/comments | https://api.github.com/repos/ollama/ollama/issues/6550/events | https://github.com/ollama/ollama/issues/6550 | 2,493,590,123 | I_kwDOJ0Z1Ps6UoSpr | 6,550 | Cannot download models behind a proxy in docker ollama. | {
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} | null | null | null | ### What is the issue?
Able to run the ollama in docker container in my high end machine which has ubuntu os. But i am not able to pull any model. I am getting
### OS
Docker
### GPU
AMD
### CPU
Intel
### Ollama versi... | {
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https://api.github.com/repos/ollama/ollama/issues/3278 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3278/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3278/comments | https://api.github.com/repos/ollama/ollama/issues/3278/events | https://github.com/ollama/ollama/pull/3278 | 2,199,171,144 | PR_kwDOJ0Z1Ps5qTzwj | 3,278 | Enabling ollama to run on Intel GPUs with SYCL backend | {
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} | Hi, I am submitting this pr to enable ollama to run on Intel GPUs with SYCL as the backend. This pr was [originally](https://github.com/ollama/ollama/pull/2458) started by @felipeagc who is currently unable to actively participate due to relocation.
The original pr had fallen behind the main branch, making it inconven... | {
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https://api.github.com/repos/ollama/ollama/issues/356 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/356/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/356/comments | https://api.github.com/repos/ollama/ollama/issues/356/events | https://github.com/ollama/ollama/issues/356 | 1,852,260,461 | I_kwDOJ0Z1Ps5uZ0Bt | 356 | Undefined symbols during go build | {
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```console
ubuntu@machine:~/ollama$ go version
go version go1.21.0 linux/amd64
ubuntu@machine:~/ollama$ go build .
go: downloading github.com/chzyer/readline v1.5.1
go: downloading github.com/dustin/go-humanize v1.0.1
go: downloading github.com/olekukonko/tablew... | {
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https://api.github.com/repos/ollama/ollama/issues/8384 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8384/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8384/comments | https://api.github.com/repos/ollama/ollama/issues/8384/events | https://github.com/ollama/ollama/issues/8384 | 2,781,737,542 | I_kwDOJ0Z1Ps6lzfJG | 8,384 | Unable to acess ollama model hosted on a raspberry pi 5 from an other device | {
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} | null | null | null | ### What is the issue?
When i access the ai model from the raspberry pi it works but when i try it with the correct ip and port i cant conect.
(page assist error)
Unable to connect to Ollama 🦙
I tryed changeing the firewall setings still didnt work
raspberry pi model
cat: /sys/firmware/devicetree/model: No such ... | {
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https://api.github.com/repos/ollama/ollama/issues/153 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/153/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/153/comments | https://api.github.com/repos/ollama/ollama/issues/153/events | https://github.com/ollama/ollama/issues/153 | 1,814,970,242 | I_kwDOJ0Z1Ps5sLj-C | 153 | Control model cache location (set ollama directory to something other than ~/.ollama) | {
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https://api.github.com/repos/ollama/ollama/issues/7256 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7256/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7256/comments | https://api.github.com/repos/ollama/ollama/issues/7256/events | https://github.com/ollama/ollama/issues/7256 | 2,598,039,347 | I_kwDOJ0Z1Ps6a2u8z | 7,256 | Last character being truncated by stop sequence | {
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When running inference in raw mode with '\n\n' as a stop sequence, it seems like punctuation is being removed with the stop sequence. I assume this is because of a bug with how partial stop sequences are handled.
### OS
Linux
### GPU
Other
### CPU
AMD
### Ollama version
0.3.11 | null | {
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https://api.github.com/repos/ollama/ollama/issues/2473 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2473/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2473/comments | https://api.github.com/repos/ollama/ollama/issues/2473/events | https://github.com/ollama/ollama/issues/2473 | 2,132,184,506 | I_kwDOJ0Z1Ps5_Fo26 | 2,473 | Packaging Ollama with ROCm support for Arch Linux | {
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} | null | null | null | Hi, Arch Linux maintainer of the `ollama` and `ollama-cuda` packages here.
I want to package `ollama-rocm`, with support for AMD/ROCm, but I get error messages when building the package, and wonder if I am enabling support in the right way when building, or not.
So far, I am building with `-tags rocm` and have ... | {
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https://api.github.com/repos/ollama/ollama/issues/8324 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8324/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8324/comments | https://api.github.com/repos/ollama/ollama/issues/8324/events | https://github.com/ollama/ollama/issues/8324 | 2,771,469,091 | I_kwDOJ0Z1Ps6lMUMj | 8,324 | Add a CUDA+AVX2(VNNI) runner to the Docker image. | {
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} | null | null | null | **Description**:
I would like to ask to add a CUDA+AVX2 (maybe VNNI) model runner to the default Docker image for Ollama. I think this can help with performance in partial offload scenarios.
This should be supported at build time (#2281), but for some reason I cant find the runner in the docker image
I think tha... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7935 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7935/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7935/comments | https://api.github.com/repos/ollama/ollama/issues/7935/events | https://github.com/ollama/ollama/pull/7935 | 2,719,025,694 | PR_kwDOJ0Z1Ps6EG_Yf | 7,935 | Update the /api/create endpoint to use JSON | {
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https://api.github.com/repos/ollama/ollama/issues/8622 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8622/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8622/comments | https://api.github.com/repos/ollama/ollama/issues/8622/events | https://github.com/ollama/ollama/issues/8622 | 2,814,520,394 | I_kwDOJ0Z1Ps6nwixK | 8,622 | Support for Zero-shot Text Classification Models | {
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} | null | null | null | It would be helpful to developers if ollama supported zero-shot text classification models, such as [`deberta-v3-large-tasksource-nli`](https://huggingface.co/sileod/deberta-v3-large-tasksource-nli) or other offshoots of BERT, which are fairly small models, that allow you do things like pass in a list of categories and... | null | {
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https://api.github.com/repos/ollama/ollama/issues/1394 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1394/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1394/comments | https://api.github.com/repos/ollama/ollama/issues/1394/events | https://github.com/ollama/ollama/issues/1394 | 2,027,152,209 | I_kwDOJ0Z1Ps540-NR | 1,394 | magicoder doesn't work | {
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ollama run magicoder:6.7b-s-ds-q3_K_L
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https://api.github.com/repos/ollama/ollama/issues/3937 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3937/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3937/comments | https://api.github.com/repos/ollama/ollama/issues/3937/events | https://github.com/ollama/ollama/issues/3937 | 2,265,378,662 | I_kwDOJ0Z1Ps6HBu9m | 3,937 | ``/load`` with no parameters to clear chat context | {
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"name": "feature request",
"color": "a2eeef",
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] | closed | false | null | [] | null | 2 | 2024-04-26T09:38:42 | 2024-05-01T21:44:37 | 2024-05-01T21:44:37 | NONE | {
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} | null | null | null | It would be fantastic to have a command that clears a chat's context.
At the moment, getting a fresh context can be done with
- ``/bye``, then starting the client again. Few keystrokes, but long wait time for the model to be reloaded.
- ``/load <model>``, where ``<model>`` is the name of the most recently loaded... | {
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https://api.github.com/repos/ollama/ollama/issues/8320 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8320/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8320/comments | https://api.github.com/repos/ollama/ollama/issues/8320/events | https://github.com/ollama/ollama/issues/8320 | 2,770,967,611 | I_kwDOJ0Z1Ps6lKZw7 | 8,320 | yi-coder: Suffix not supported | {
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"avatar_url": "https://avatars.githubusercontent.com/u/1311616?v=4",
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"html_url": "https://github.com/pyscripter",
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"default": true,
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] | closed | false | null | [] | null | 2 | 2025-01-06T16:05:52 | 2025-01-07T04:55:56 | 2025-01-06T18:56:54 | NONE | {
"total": 0,
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} | null | null | null | ### What is the issue?
The yi-coder [documentation](https://ollama.com/library/yi-coder) provides the following code completion example:
```shell
curl http://localhost:11434/api/generate -d '{
"model": "yi-coder",
"prompt": "def compute_gcd(a, b):",
"suffix": " return result",
"options": {
"tem... | {
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"url": "https://api.github.com/users/jmorganca",
"html_url": "https://github.com/jmorganca",
"followers_url": "https://api.github.com/users/jmor... | {
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https://api.github.com/repos/ollama/ollama/issues/7896 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7896/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7896/comments | https://api.github.com/repos/ollama/ollama/issues/7896/events | https://github.com/ollama/ollama/issues/7896 | 2,707,731,203 | I_kwDOJ0Z1Ps6hZLMD | 7,896 | Installing bolt.new and qwen2.5-coder:7b locally (error cudaMalloc failed: out of memory) | {
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"html_url": "https://github.com/LieLust",
"followers_url": "https://api.github.com/users/LieLus... | [
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"color": "d73a4a",
"default": true,
"description": "Something isn't working"
}
] | closed | false | null | [] | null | 5 | 2024-11-30T17:41:35 | 2025-01-13T01:31:04 | 2025-01-13T01:31:04 | NONE | {
"total": 0,
"completed": 0,
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} | null | null | null | ### What is the issue?
### Title: Issue with installing **bolt.new** and **qwen2.5-coder:7b** locally (error `cudaMalloc failed: out of memory`)
#### Description:
I am trying to install **bolt.new** and **qwen2.5-coder:7b** locally, but I get the following error:
`{"error":"llama runner process has terminated: ... | {
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https://api.github.com/repos/ollama/ollama/issues/8666 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8666/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8666/comments | https://api.github.com/repos/ollama/ollama/issues/8666/events | https://github.com/ollama/ollama/issues/8666 | 2,818,549,002 | I_kwDOJ0Z1Ps6n_6UK | 8,666 | TERMUX ERROR | {
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"node_id": "U_kgDOCdr6ow",
"avatar_url": "https://avatars.githubusercontent.com/u/165345955?v=4",
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"html_url": "https://github.com/NeKosmico",
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"name": "bug",
"color": "d73a4a",
"default": true,
"description": "Something isn't working"
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] | open | false | null | [] | null | 1 | 2025-01-29T15:30:45 | 2025-01-29T16:10:43 | null | NONE | {
"total": 0,
"completed": 0,
"percent_completed": 0
} | null | null | null | ### What is the issue?
I wanted to run Ollama in the termux (Android) application, everything was going well... Until the following happened in this part:
```bash
~/ollama $ go build .
# github.com/ollama/ollama/discover
gpu_info_cudart.c:61:13: warning: comparison of different enumeration types ('cudartReturn_t' (ak... | null | {
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https://api.github.com/repos/ollama/ollama/issues/8651 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8651/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8651/comments | https://api.github.com/repos/ollama/ollama/issues/8651/events | https://github.com/ollama/ollama/issues/8651 | 2,817,464,249 | I_kwDOJ0Z1Ps6n7xe5 | 8,651 | Intel ARC 770 memory does not support | {
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"followers_url": "https://api.github.com/users/yiteei/fo... | [
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"name": "bug",
"color": "d73a4a",
"default": true,
"description": "Something isn't working"
}
] | closed | false | null | [] | null | 2 | 2025-01-29T07:42:05 | 2025-01-29T23:28:53 | 2025-01-29T23:28:52 | NONE | {
"total": 0,
"completed": 0,
"percent_completed": 0
} | null | null | null | ### What is the issue?
Windows 11 24H2
Intel ARC 770
Intel I5-12600K
### OS
Windows
### GPU
Intel
### CPU
Intel
### Ollama version
0.5.7 | {
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