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FlagAlpha/Llama3-Chinese-8B-Instruct
same as the other os llama2-chinese
model link: https://github.com/LlamaFamily/Llama-Chinese?tab=readme-ov-file#llama3%E4%B8%AD%E6%96%87%E5%BE%AE%E8%B0%83%E6%A8%A1%E5%9E%8B
https://huggingface.co/FlagAlpha/Llama3-Chinese-8B-Instruct | null | {
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**GPU:** Nvidia GeForce RTX 2070 (7.5 GB)
**RAM:** 16 GB
**Problem:**
I've pulled mixtral:8x22b (`ollama pull`) and would like to run it. After typing `ollama run mixtral:8x22b` the process terminates with Error: llama runner process has terminated: exit status 0xc0000409
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Supposedly a big improvement | {
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https://api.github.com/repos/ollama/ollama/issues/1190 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1190/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1190/comments | https://api.github.com/repos/ollama/ollama/issues/1190/events | https://github.com/ollama/ollama/pull/1190 | 2,000,411,849 | PR_kwDOJ0Z1Ps5f0ZTD | 1,190 | Adding `ogpt.nvim` into the list of plugins! | {
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https://api.github.com/repos/ollama/ollama/issues/2357 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2357/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2357/comments | https://api.github.com/repos/ollama/ollama/issues/2357/events | https://github.com/ollama/ollama/pull/2357 | 2,117,672,913 | PR_kwDOJ0Z1Ps5l-fbz | 2,357 | Get paths right for first run, and deps | {
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} | Tested inside a Win 10 home hyperV VM with nothing extra added. This gets all the deps right and loads the CPU runner.
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https://api.github.com/repos/ollama/ollama/issues/247 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/247/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/247/comments | https://api.github.com/repos/ollama/ollama/issues/247/events | https://github.com/ollama/ollama/pull/247 | 1,830,002,492 | PR_kwDOJ0Z1Ps5W19mq | 247 | log prediction failures | {
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```
# github.com/ollama/ollama/gpu
gpu_info_oneapi.c: In function ‘oneapi_check_vram’:
gpu_info_oneapi.c:163:51: warning: format not a string literal and no format arguments [-Wformat-security]
163 | snprintf(&resp->gpu_name[0], GPU_NAME_LEN, props.modelName);
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} | Previous behavior:
```
Error: Unable to load dynamic library: Unable to load dynamic server library: ������ ������ ã�� �� �����ϴ�.
```
When the user's home path contains unicode characters on Windows the packaged runtime libraries failed to open, add support for wide characters to fix this.
resolves #2615
re... | {
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https://api.github.com/repos/ollama/ollama/issues/6820 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6820/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6820/comments | https://api.github.com/repos/ollama/ollama/issues/6820/events | https://github.com/ollama/ollama/issues/6820 | 2,527,433,452 | I_kwDOJ0Z1Ps6WpZLs | 6,820 | Typo in Gemma 2 model card | {
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} | null | null | null | For some reason at https://ollama.com/library/gemma2 it says
```
Google Gemma 2 is a high-performing and efficient model by now available in three sizes: 2B, 9B, and 27B.
```
Which makes zero sense if you read the `efficient model by now available in three sizes: 2B, 9B, and 27B. ` part which I assume should be `e... | {
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https://api.github.com/repos/ollama/ollama/issues/6093 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6093/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6093/comments | https://api.github.com/repos/ollama/ollama/issues/6093/events | https://github.com/ollama/ollama/issues/6093 | 2,439,432,665 | I_kwDOJ0Z1Ps6RZsnZ | 6,093 | Only one of the dual CPUs is in use | {
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} | null | null | null | ### What is the issue?
My machine has two CPUs without GPUs, and when I run the model, I find that the CPUs are used at most 50%
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"merged_at": "2024-01-12T05:07:00"
} | After executing the `userdel ollama` command, I saw this message:
```sh
$ sudo userdel ollama
userdel: group ollama not removed because it has other members.
```
Which reminded me that I had to remove the dangling group too. For completeness, the uninstall instructions should do this too.
Thanks! | {
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https://api.github.com/repos/ollama/ollama/issues/3713 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3713/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3713/comments | https://api.github.com/repos/ollama/ollama/issues/3713/events | https://github.com/ollama/ollama/pull/3713 | 2,249,279,057 | PR_kwDOJ0Z1Ps5s-d7I | 3,713 | update copy handler to use model.Name | {
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https://api.github.com/repos/ollama/ollama/issues/140 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/140/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/140/comments | https://api.github.com/repos/ollama/ollama/issues/140/events | https://github.com/ollama/ollama/issues/140 | 1,814,420,891 | I_kwDOJ0Z1Ps5sJd2b | 140 | Start/stop tokens seem to bug out sometimes in long winded sessions | {
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```
>>> ... user prompt ...
...some response here...
<<SYS>>
You are an expert at summarizing text documents step by step and preserving
information. Between each of our interactions, summarize my message in a bullet
point summary, including all previously summarized information.
<</SYS>>
>... | {
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https://api.github.com/repos/ollama/ollama/issues/2647 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2647/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2647/comments | https://api.github.com/repos/ollama/ollama/issues/2647/events | https://github.com/ollama/ollama/pull/2647 | 2,147,540,641 | PR_kwDOJ0Z1Ps5nkNSS | 2,647 | Adding '--tag' to install.sh to simplify pre-release or specific version install locally | {
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} | Adding a 'feature' to the install script for Linux users that allows specifying the `--tag` on installation.
### Why
There will be times where we'll want to allow early-adopters to quickly access and test new features; however, they're not stable enough for a release.
### Solution
Allow the user to specify a dy... | {
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https://api.github.com/repos/ollama/ollama/issues/787 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/787/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/787/comments | https://api.github.com/repos/ollama/ollama/issues/787/events | https://github.com/ollama/ollama/pull/787 | 1,942,766,962 | PR_kwDOJ0Z1Ps5cx7Fd | 787 | server: print version on start | {
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} | null | null | null | ### What is the issue?
When I run 'ollama run ollama run llama3:8b', the following message appears:
`pulling manifest
Error: pull model manifest: Get "https://registry.ollama.ai/v2/library/qwen2.5-coder/manifests/32b": EOF
`
Execute `curl fsSL' https://ollama.com/install.sh |It also appears when sh `, the foll... | {
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Linux, I use the following command to start Ollama server:
CUDA_VISIBLE_DEVICES=1,2,3,4,5 OLLAMA_MAX_LOADED_MODELS=5 ./ollama-linux-amd64 serve&
Then I want to run several py files used llama3.1:70b, but when I run the several py files, then they all use the same model.
That's to say, only on... | {
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# 🚨 Problem
* While pulling models, we get failur... | {
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} | Found small typo in const name | {
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I've been having endless problems with OOM errors when I try to run models with a context length of 16k like "deepseek-coder:33b-instruct" and original... | {
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I just installed ollama 0.1.27 and tried to run gemma:2b but it suggest CUDA out of memory error. Could you please investigate and figure out root cause?
I'm using CPU `i7-4700HQ` with RAM 16G.
attached log and nvidia-smi report
>+-----------------------------------------------------------------... | {
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} | null | null | null | ### What is the issue?
llama.cpp is able to support ascend via https://github.com/ggerganov/llama.cpp/pull/6035/files. I hope to update the llama.cpp submodule to the latest version. According to it, I can adapt ollama in the ascend
### OS
Linux
### GPU
Other
### CPU
_No response_
### Ollama version
v0.2.0 | {
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https://github.com/meta-llama/llama3?tab=readme-ov-file#quick-start
checklist.chk consolidated.00.pth params.json tokenizer.model
Here these file size is in GB.
Now, I want to switch to ollama and use these files how ca... | {
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"total": 0,
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Hello, I am using the latest lama of today and am on a 10-year-old laptop. The logs say that Ollama is not detecting my GPU. I have a 4th Gen Intel i7 with 4 cores, 32 Gb of DDR3 Ram, a 4Gb 780M and am running Llama 3.3 Quantized 28 Gb. I'm pretty sure the framework is meant to buffer the AI o... | {
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https://api.github.com/repos/ollama/ollama/issues/6812 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6812/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6812/comments | https://api.github.com/repos/ollama/ollama/issues/6812/events | https://github.com/ollama/ollama/issues/6812 | 2,526,796,890 | I_kwDOJ0Z1Ps6Wm9xa | 6,812 | Pixtral-12b from Mistral | {
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https://api.github.com/repos/ollama/ollama/issues/4569 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4569/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4569/comments | https://api.github.com/repos/ollama/ollama/issues/4569/events | https://github.com/ollama/ollama/issues/4569 | 2,309,479,988 | I_kwDOJ0Z1Ps6Jp940 | 4,569 | OLLAMA_NUM_PARALLEL problem | {
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} | null | null | null | ### What is the issue?
When I set the OLLAMA_NUM_PARALLEL=3 environment parameter, I found an exception on multi-threaded requests in a single model, as shown in the figure.
![企业微信截图_17163461339124](https:... | {
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https://api.github.com/repos/ollama/ollama/issues/4574 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4574/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4574/comments | https://api.github.com/repos/ollama/ollama/issues/4574/events | https://github.com/ollama/ollama/issues/4574 | 2,310,402,458 | I_kwDOJ0Z1Ps6JtfGa | 4,574 | Error Loading Phi Medium | {
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"total": 0,
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} | null | null | null | ### What is the issue?
ollama run phi3:medium
downloads the model but then shows this error:
Error: exception error loading model architecture: unknown model architecture: 'phi3'
### OS
macOS
### GPU
Apple
### CPU
Apple
### Ollama version
0.1.29 | null | {
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https://api.github.com/repos/ollama/ollama/issues/1564 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1564/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1564/comments | https://api.github.com/repos/ollama/ollama/issues/1564/events | https://github.com/ollama/ollama/pull/1564 | 2,044,708,571 | PR_kwDOJ0Z1Ps5iKZ1N | 1,564 | Add Langchain Dart library | {
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https://api.github.com/repos/ollama/ollama/issues/7198 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7198/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7198/comments | https://api.github.com/repos/ollama/ollama/issues/7198/events | https://github.com/ollama/ollama/issues/7198 | 2,586,591,112 | I_kwDOJ0Z1Ps6aLD-I | 7,198 | num_ctx forces entire model to CPU | {
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"total": 0,
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} | null | null | null | ### What is the issue?
Apologies if this is covered somewhere, but I couldn't find any documentation for it and it doesn't seem intended.
For context, my GPU has 8GB VRAM, and the model I "discovered" this with was `llama3.2:3b-instruct-q8_0`, but it seems to occur for any other.
`ollama ps` shows the model as `... | {
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https://api.github.com/repos/ollama/ollama/issues/5657 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5657/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5657/comments | https://api.github.com/repos/ollama/ollama/issues/5657/events | https://github.com/ollama/ollama/pull/5657 | 2,406,488,653 | PR_kwDOJ0Z1Ps51RRsU | 5,657 | Parallelize Tokenization in `api/embed` | {
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} | Example: batch embedding of 250 2500 token inputs with nomic-embed-text
Numbers: tokenizing + detokenizing one input takes 1.3ms. Comparatively, the batch embedding of 250 inputs takes 21.76s out of 22.64s total. Clear bottle neck on the embedding rather than tokenizing
TLDR parallelizing tokenization has no benefi... | {
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https://api.github.com/repos/ollama/ollama/issues/6422 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6422/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6422/comments | https://api.github.com/repos/ollama/ollama/issues/6422/events | https://github.com/ollama/ollama/issues/6422 | 2,473,720,717 | I_kwDOJ0Z1Ps6TcfuN | 6,422 | ollama golang client hides API errors | {
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"total": 0,
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} | null | null | null | ### What is the issue?
While testing ollama in combination with k8sgpt I ran into an issue with ollama queries responding with:
```
invalid character 'p' after top-level value
```
After some hunting I found that the documentation for k8sgpt incorrectly adds a suffix to the ollama baseurl (`http://localhost:114... | null | {
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https://api.github.com/repos/ollama/ollama/issues/6448 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6448/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6448/comments | https://api.github.com/repos/ollama/ollama/issues/6448/events | https://github.com/ollama/ollama/issues/6448 | 2,476,375,030 | I_kwDOJ0Z1Ps6Tmnv2 | 6,448 | snowflake-arctic-embed:22m model cause an error on loading | {
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llama runner process has terminated: signal: segmentation fault (core dumped)
this is the error I am getting every time I try to load that particular model.
all other models work fine including other embedding models.
### OS
Linux
### GPU
_No response_
### CPU
Intel
### Ollama versi... | {
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https://api.github.com/repos/ollama/ollama/issues/3766 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3766/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3766/comments | https://api.github.com/repos/ollama/ollama/issues/3766/events | https://github.com/ollama/ollama/pull/3766 | 2,254,013,017 | PR_kwDOJ0Z1Ps5tOi0Y | 3,766 | introduce build.go for controlling distribution builds | {
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} | This commit aims to provide the Ollama maintainers with maximum control of the distribution build process by creating a cross-platform shim.
Currently, we have no flexibility, or control of the process (pre and post) or even the quality of the build.
By introducing a shim, and propagating it out to Homebrew, et a... | {
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} | Added "Ctrl + W" in shortcuts. "Ctrl + W" deletes the word before the cursor
Resolves https://github.com/ollama/ollama/issues/4534 | {
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Can it be that you use some older commit of `llama.cpp`?
Building with Vulkan (and testing options `LLAMA_VULKAN_CHECK_RESULTS=ON` and `LLAMA_VULKAN_RUN_TESTS=ON`), I get the error `ggml-vulkan.cpp:6880:80: error: cannot convert ‘ggml_tensor*’ to ‘float’`. [↗ `llama.cpp` upstre... | {
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https://api.github.com/repos/ollama/ollama/issues/5622 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5622/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5622/comments | https://api.github.com/repos/ollama/ollama/issues/5622/events | https://github.com/ollama/ollama/issues/5622 | 2,402,001,382 | I_kwDOJ0Z1Ps6PK6Hm | 5,622 | ollama run glm4 error - `CUBLAS_STATUS_NOT_INITIALIZED` | {
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[root@hanadev system]# ollama run glm4
Error: llama runner process has terminated: signal: aborted (core dumped) CUDA error: CUBLAS_STATUS_NOT_INITIALIZED
current device: 0, in function cublas_handle at /go/src/github.com/ollama/ollama/llm/llama.cpp/ggml/src/ggml-cuda/common.cuh:826
cubla... | {
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https://api.github.com/repos/ollama/ollama/issues/3341 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3341/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3341/comments | https://api.github.com/repos/ollama/ollama/issues/3341/events | https://github.com/ollama/ollama/issues/3341 | 2,205,473,154 | I_kwDOJ0Z1Ps6DdNmC | 3,341 | When is ollama serve ready - for use in scripts? | {
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I want to start ollama serve in the background for automation purposes, and then be able to run something like `ollama ready` which would block until the serve has loaded.
I see this take up to 5 seconds with an Nvidia 3060.
### How should we solve this?
`ollama ready` would be idea... | {
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https://api.github.com/repos/ollama/ollama/issues/4955 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4955/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4955/comments | https://api.github.com/repos/ollama/ollama/issues/4955/events | https://github.com/ollama/ollama/issues/4955 | 2,342,394,208 | I_kwDOJ0Z1Ps6Lnhlg | 4,955 | Ollama should error with insufficient system memory and VRAM | {
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} | null | null | null | ### What is the issue?
Currently, Ollama will allow loading massive models even on small amounts of VRAM and system memory, leading to paging to disk and eventually errors. It should limit the size of models to avoid errors.
### OS
_No response_
### GPU
_No response_
### CPU
_No response_
### Ollama version
_N... | {
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https://api.github.com/repos/ollama/ollama/issues/6447 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6447/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6447/comments | https://api.github.com/repos/ollama/ollama/issues/6447/events | https://github.com/ollama/ollama/issues/6447 | 2,476,363,851 | I_kwDOJ0Z1Ps6TmlBL | 6,447 | Ollama instance restart when using Mistral Nemo, tried different mistral nemo models | {
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Ollama instance restart when using Mistral Nemo, tried different mistral nemo models
`INFO [local_instance.py | start] Starting Alpaca's Ollama instance...
2024/08/20 21:13:35 routes.go:1108: INFO server config env="map[CUDA_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERR... | {
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https://api.github.com/repos/ollama/ollama/issues/1829 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1829/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1829/comments | https://api.github.com/repos/ollama/ollama/issues/1829/events | https://github.com/ollama/ollama/issues/1829 | 2,068,791,230 | I_kwDOJ0Z1Ps57Tz-- | 1,829 | access api from docker container | {
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so i installed docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
it works using docker exec -it ollama ollama run llama2
but i want using as API, it is possible , base url ??
Thanks | {
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https://api.github.com/repos/ollama/ollama/issues/4904 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4904/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4904/comments | https://api.github.com/repos/ollama/ollama/issues/4904/events | https://github.com/ollama/ollama/issues/4904 | 2,340,307,340 | I_kwDOJ0Z1Ps6LfkGM | 4,904 | Need Support: Local Model Parameters Override Like Llama.cpp | {
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How can this be achieved in ollama?
Should I modify a certain file?
Or `PARAMETER` to the Modlefile?
Or is there some other similar command?
[Here](https://huggingface.co/leafspark/DeepSeek-V2-Chat-GGUF) is a situat... | null | {
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https://api.github.com/repos/ollama/ollama/issues/6187 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6187/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6187/comments | https://api.github.com/repos/ollama/ollama/issues/6187/events | https://github.com/ollama/ollama/issues/6187 | 2,449,418,585 | I_kwDOJ0Z1Ps6R_ylZ | 6,187 | Embeddings produce different results when sent as a list as opposed to individually | {
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I am using the ollama.embed function from the Python library and getting interesting results whenever I send a list of inputs to the function. The embedding response that is sent back varies very much when a list of inputs is sent rather than just a single string of input (either by itself or ... | {
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https://api.github.com/repos/ollama/ollama/issues/4173 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4173/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4173/comments | https://api.github.com/repos/ollama/ollama/issues/4173/events | https://github.com/ollama/ollama/issues/4173 | 2,279,588,659 | I_kwDOJ0Z1Ps6H38Mz | 4,173 | AMD GPUs mistaken as Nvidia GPUs | {
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My device runs Ubuntu with dual AMD GPUs, both are RX 7900 XTX.
I set up the GPUs with ROCM. I keep a copy of my setup at https://github.com/eliranwong/MultiAMDGPU_AIDev_Ubuntu
I just tried installing ollama. Surprisingly, the last line reads "NVIDIA GPU installed."
>>> Adding olla... | {
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https://api.github.com/repos/ollama/ollama/issues/3935 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3935/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3935/comments | https://api.github.com/repos/ollama/ollama/issues/3935/events | https://github.com/ollama/ollama/issues/3935 | 2,265,048,488 | I_kwDOJ0Z1Ps6HAeWo | 3,935 | ERROR:The handle is invalid | {
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when i run ollama ,get error information as below:
"failed to get console mode for stdout: The handle is invalid.
failed to get console mode for stderr: The handle is invalid."
### OS
Windows
### GPU
Intel
### CPU
Intel
### Ollama version
_No response_ | {
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https://api.github.com/repos/ollama/ollama/issues/6570 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6570/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6570/comments | https://api.github.com/repos/ollama/ollama/issues/6570/events | https://github.com/ollama/ollama/pull/6570 | 2,497,946,264 | PR_kwDOJ0Z1Ps56AuhW | 6,570 | llama: opt-in at build time | {
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} | This PR layers on #6547 for the new Go server.
Unfortunately the sizes are too large to try to make the opt-in strategy work at runtime (the linux tgz would significantly exceed the 2G github artifact size limit) so this makes the opt-in strategy work at build time.
Notable refinements:
- the ggml library is ... | {
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https://api.github.com/repos/ollama/ollama/issues/3393 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3393/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3393/comments | https://api.github.com/repos/ollama/ollama/issues/3393/events | https://github.com/ollama/ollama/issues/3393 | 2,214,044,314 | I_kwDOJ0Z1Ps6D96Ka | 3,393 | DocOwl1.5-Chat | {
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} | null | null | null | ### What model would you like?
Recent release of DocOwl highly relevant to RAG work.
https://huggingface.co/mPLUG/DocOwl1.5-Chat
DocOwl 1.5 is initialized from mPLUG-Owl2 [58], which utilizes the ViT/L-14 [12] as the Visual Encoder and a 7B Large Langauge Model with the Modality Adaptive Module as the language dec... | null | {
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https://api.github.com/repos/ollama/ollama/issues/5165 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5165/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5165/comments | https://api.github.com/repos/ollama/ollama/issues/5165/events | https://github.com/ollama/ollama/issues/5165 | 2,363,910,064 | I_kwDOJ0Z1Ps6M5mew | 5,165 | difference between `systemctl start/restart ollama` and `ollama serve`? | {
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ollama.service is now like this:
```bash
[Unit]
Description=Ollama Service
After=network-online.target
[Service]
ExecStart=/usr/local/bin/ollama serve
User=ollama
Group=ollam... | {
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https://api.github.com/repos/ollama/ollama/issues/1288 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1288/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1288/comments | https://api.github.com/repos/ollama/ollama/issues/1288/events | https://github.com/ollama/ollama/issues/1288 | 2,012,881,067 | I_kwDOJ0Z1Ps53-iCr | 1,288 | Ollama with multiple GPUs | {
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... | {
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https://api.github.com/repos/ollama/ollama/issues/7283 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7283/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7283/comments | https://api.github.com/repos/ollama/ollama/issues/7283/events | https://github.com/ollama/ollama/issues/7283 | 2,601,114,637 | I_kwDOJ0Z1Ps6bCdwN | 7,283 | Ollama Fails to Start On Ubuntu Server OS (Headless) when using a GPU | {
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Ollama fails to load using docker-compose on a headless Ubuntu server. I have installed, purged, reinstalled, purged, and re-reinstalled drivers, docker, docker-compose, etc. and nothing allows Ollama to boot. Here is my compose.yml:
services:
```
ollama:
container_name: ollama
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https://api.github.com/repos/ollama/ollama/issues/464 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/464/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/464/comments | https://api.github.com/repos/ollama/ollama/issues/464/events | https://github.com/ollama/ollama/pull/464 | 1,879,245,288 | PR_kwDOJ0Z1Ps5Zbhw5 | 464 | fix num_keep | {
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} | num_keep calculation is erroneously adding a token which causes the llm to output `\u001c` after truncating | {
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https://api.github.com/repos/ollama/ollama/issues/6467 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6467/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6467/comments | https://api.github.com/repos/ollama/ollama/issues/6467/events | https://github.com/ollama/ollama/pull/6467 | 2,481,575,276 | PR_kwDOJ0Z1Ps55KrGm | 6,467 | Fix embeddings memory corruption | {
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} | The patch was leading to a buffer overrun corruption. Once removed though, parallism in server.cpp lead to hitting an assert due to slot/seq IDs being >= token count. To work around this, only use slot 0 for embeddings.
Fixes #6435
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https://api.github.com/repos/ollama/ollama/issues/7366 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7366/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7366/comments | https://api.github.com/repos/ollama/ollama/issues/7366/events | https://github.com/ollama/ollama/issues/7366 | 2,615,183,856 | I_kwDOJ0Z1Ps6b4Inw | 7,366 | Add AirLLM or similar to allow running big models with low RAM | {
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Could you please take a look on it and try to add this or similar feature to Ollama?
Thanks a lot 😊
https://github.com/lyogavin/airllm | {
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} | null | null | null | I just wrote a [article](https://www.linkedin.com/posts/casper-bollen-88a51719a_genpres-opensource-genpres-activity-7173776131110637572-Z6Za?utm_source=share&utm_medium=member_desktop) about this great project.
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When trying run a model created from a GGUF model, the captioned error happens. The model can be downloade from: https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct/summary
### OS
Windows
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.132 | {
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} | null | null | null | I have installed Ollama and the Ollama python client on Ubuntu. I am unable to interact with it using the Ollama Python client.
```
$ ollama list
NAME ID SIZE MODIFIED
llama2:70b e7f6c06ffef4 38 GB 2 hours ago
llama2:latest 78e26419b446 3.8 GB 4 days ago
```
```
$ ... | {
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It would be good if we could change the installation path while installing using the Windows Installer. If it's already available in some way, please let me know.
Thanks! | {
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https://api.github.com/repos/ollama/ollama/issues/1599 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1599/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1599/comments | https://api.github.com/repos/ollama/ollama/issues/1599/events | https://github.com/ollama/ollama/issues/1599 | 2,048,018,372 | I_kwDOJ0Z1Ps56EkfE | 1,599 | Delete partially downloaded models. | {
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I could see that it would add files to `~/.ollama/models/blobs`, however they are not picked up by the rm command.
The only way to do it is to download it completely, just to then instantly delete it (`$ ollama rm …`).
That's quite wasteful for you guys bandw... | {
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I would like to be able to update the image so that I can set the session time with env when creating the Docker container. | {
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The result is:
```
Error: llama runner: failed to load model '/home/horia/.ollama/models/blobs/sha256:6d9189f9d9e9c7763daeb08052a07e3a7ed42db66296f1972098fd7f945529b8': this model may be incompatible with your version of Ollama. If you previously pulled this model, ... | {
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https://api.github.com/repos/ollama/ollama/issues/1345 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1345/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1345/comments | https://api.github.com/repos/ollama/ollama/issues/1345/events | https://github.com/ollama/ollama/issues/1345 | 2,020,816,599 | I_kwDOJ0Z1Ps54czbX | 1,345 | [WISH] API for token count? faster than embeddings vector length? | {
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However, I'm using it by making raw requests, I mean I'm handling the context myself.
When under this use case, the system needs to count tokens for many strings to decide what goes into the context and what is too much.
For now, I've been using th... | {
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https://api.github.com/repos/ollama/ollama/issues/7357 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7357/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7357/comments | https://api.github.com/repos/ollama/ollama/issues/7357/events | https://github.com/ollama/ollama/pull/7357 | 2,614,145,689 | PR_kwDOJ0Z1Ps5_5_h6 | 7,357 | Add papeg.ai to list of UI's that support Ollama | {
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https://api.github.com/repos/ollama/ollama/issues/17 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/17/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/17/comments | https://api.github.com/repos/ollama/ollama/issues/17/events | https://github.com/ollama/ollama/pull/17 | 1,779,933,018 | PR_kwDOJ0Z1Ps5UMecL | 17 | use ctransformers as backup to llama.cpp | {
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Since I have installed ollama under Windows,I just go ahead and install an ollama inside wsl2, and then link the path to the model files under Windows to the ollama directory under wsl.
```Bash
sudo ln -s /mnt/c/Users/USERNAME/.ollama/ /usr/share/ollama/.ollam... | {
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https://api.github.com/repos/ollama/ollama/issues/1369 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1369/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1369/comments | https://api.github.com/repos/ollama/ollama/issues/1369/events | https://github.com/ollama/ollama/issues/1369 | 2,023,049,056 | I_kwDOJ0Z1Ps54lUdg | 1,369 | Dolphin update | {
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Would you consider updating dolphin2.2-mistral (which is deprecated) to dolphin2.2.1-mistral? | {
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I recently upgrade a computer with a new additional GPU.
When running a model that fit on a single GPU, all works fine: the command answer and I see the GPU RAM and usage while it respond.
Before installing the second GPU, I could run models requiring more memory than the actual VRAM, and ... | {
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https://api.github.com/repos/ollama/ollama/issues/1125 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1125/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1125/comments | https://api.github.com/repos/ollama/ollama/issues/1125/events | https://github.com/ollama/ollama/pull/1125 | 1,993,057,446 | PR_kwDOJ0Z1Ps5fbXRa | 1,125 | Use `stdout` file descriptor to determine terminal size | {
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https://api.github.com/repos/ollama/ollama/issues/413 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/413/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/413/comments | https://api.github.com/repos/ollama/ollama/issues/413/events | https://github.com/ollama/ollama/issues/413 | 1,867,638,025 | I_kwDOJ0Z1Ps5vUeUJ | 413 | panic with empty TEMPLATE in Modelfile | {
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Repro:
Make a Modelfile (intent is to have an empty template):
```
FROM codellama:7b
TEMPLATE """"""
```
Run `ollama create foo-notmpl -f Modelfile` then `ollama run ... | {
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https://api.github.com/repos/ollama/ollama/issues/3503 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3503/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3503/comments | https://api.github.com/repos/ollama/ollama/issues/3503/events | https://github.com/ollama/ollama/pull/3503 | 2,228,062,554 | PR_kwDOJ0Z1Ps5r2LL_ | 3,503 | Add Chatbot UI v2 to Community Integrations | {
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https://api.github.com/repos/ollama/ollama/issues/4736 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4736/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4736/comments | https://api.github.com/repos/ollama/ollama/issues/4736/events | https://github.com/ollama/ollama/pull/4736 | 2,326,723,137 | PR_kwDOJ0Z1Ps5xEWBb | 4,736 | vocab only for tokenize | {
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https://api.github.com/repos/ollama/ollama/issues/2288 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2288/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2288/comments | https://api.github.com/repos/ollama/ollama/issues/2288/events | https://github.com/ollama/ollama/issues/2288 | 2,110,570,825 | I_kwDOJ0Z1Ps59zMFJ | 2,288 | Request official flatpak or SNAP | {
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} | null | null | null | I'd like to request a flatpak. It's easier to install, easy to sandbox, safer than piping a script into bash and cross platform! You can then submit the flatpak to flathub, get the verified icon and things would be awesome! ;)
thanks!
Edit: It's been pointed out (and I forgot) that flatpaks really aren't designed... | null | {
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https://api.github.com/repos/ollama/ollama/issues/2057 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2057/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2057/comments | https://api.github.com/repos/ollama/ollama/issues/2057/events | https://github.com/ollama/ollama/pull/2057 | 2,089,067,587 | PR_kwDOJ0Z1Ps5kd23X | 2,057 | Improve scratch buffer estimates | {
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https://huggingface.co/BAAI/bge-large-en-v1.5
https://huggingface.co/BAAI/bge-large-zh-v1.5
https://huggingface.co/moka-ai/m3e-large | null | {
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Hi there, ive downloaded this model both flavors (q8 and fp16) and response is bad, i would say its hallucinating .
```
ME: Write a python script to output numbers 1 to 100
MODEL:
in which multiples of 5 are replaced with "Coffee", and those that are multiples of 10 are replaced wit... | {
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https://api.github.com/repos/ollama/ollama/issues/6307 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6307/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6307/comments | https://api.github.com/repos/ollama/ollama/issues/6307/events | https://github.com/ollama/ollama/issues/6307 | 2,459,401,516 | I_kwDOJ0Z1Ps6Sl30s | 6,307 | add MiniCPM-V-2_5 | {
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} | null | null | null | I see that there is a PR on llama. cpp that has already been merged https://github.com/ggerganov/llama.cpp/pull/7599 . Hope to add support for this model
@dhiltgen @jmorganca | {
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https://api.github.com/repos/ollama/ollama/issues/723 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/723/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/723/comments | https://api.github.com/repos/ollama/ollama/issues/723/events | https://github.com/ollama/ollama/pull/723 | 1,930,895,045 | PR_kwDOJ0Z1Ps5cJbkr | 723 | Documenting how to view `Modelfile`s | {
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} | Upstreaming info from https://github.com/jmorganca/ollama/issues/685:
- Documented tags page in https://ollama.ai/library
- Documented `ollama show --modelfile` | {
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https://api.github.com/repos/ollama/ollama/issues/4547 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4547/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4547/comments | https://api.github.com/repos/ollama/ollama/issues/4547/events | https://github.com/ollama/ollama/pull/4547 | 2,306,986,400 | PR_kwDOJ0Z1Ps5wA2SH | 4,547 | Wire up load progress | {
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} | This doesn't expose a UX yet, but wires the initial server portion of progress reporting during load
TODO
- [X] Adjust waitUntilRunning to be smarter and look for stalled loads instead of a dumb 10m timer
- [ ] ~~expose progress in `ollama run`~~ UX can come in a follow up PR
- [ ] ~~expose percent loaded in `ol... | {
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https://api.github.com/repos/ollama/ollama/issues/5879 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5879/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5879/comments | https://api.github.com/repos/ollama/ollama/issues/5879/events | https://github.com/ollama/ollama/issues/5879 | 2,425,458,362 | I_kwDOJ0Z1Ps6QkY66 | 5,879 | Definiting a host in /etc/hosts doesn't work | {
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} | null | null | null | ### What is the issue?
I am trying to set a hostname in /etc/hosts and it works fine for ping but ollama gives the following output:
somedomain.com below most definitely does not exist.
```
___ __ __ _ _ _ ___
/ _ \ _ __ ___ _ __ \ \ / /__| |__ | | | |_ _|
| | |... | {
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https://api.github.com/repos/ollama/ollama/issues/4705 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4705/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4705/comments | https://api.github.com/repos/ollama/ollama/issues/4705/events | https://github.com/ollama/ollama/issues/4705 | 2,323,514,613 | I_kwDOJ0Z1Ps6KfgT1 | 4,705 | arm64 llama runner takes a long time to start compared to amd64 arch | {
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I'm comparing two different machine/gpu cards/architectures so I realize this is not an apples to apples comparision.
On a grace hopper NVIDIA GH200 arm64 system, llama runner startup (cold start but with model pre-downloaded) takes about 200 seconds:
`time=2024-05-29T10:26:54.860-04:00 l... | {
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} | null | null | null | First version of LLaVA-o1 model weights were released a few days back - [LLaVA-o1](https://huggingface.co/Xkev/Llama-3.2V-11B-cot). Would be good to have this.
Thanks! | null | {
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https://api.github.com/repos/ollama/ollama/issues/470 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/470/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/470/comments | https://api.github.com/repos/ollama/ollama/issues/470/events | https://github.com/ollama/ollama/pull/470 | 1,882,756,737 | PR_kwDOJ0Z1Ps5ZnbB8 | 470 | backport as separate patches | {
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https://api.github.com/repos/ollama/ollama/issues/568 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/568/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/568/comments | https://api.github.com/repos/ollama/ollama/issues/568/events | https://github.com/ollama/ollama/issues/568 | 1,907,803,835 | I_kwDOJ0Z1Ps5xtsa7 | 568 | Enter multiline text via stdin in non-interactive mode | {
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"id": 827131,
"node_id": "MDQ6VXNlcjgyNzEzMQ==",
"avatar_url": "https://avatars.githubusercontent.com/u/827131?v=4",
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"html_url": "https://github.com/tiborvass",
"followers_url": "https://api.github.com/users/tibo... | [] | closed | false | null | [] | null | 4 | 2023-09-21T21:37:04 | 2023-12-04T23:06:57 | 2023-12-04T23:06:56 | NONE | {
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```
cat multiline_file | ollama run llama2
``` | {
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"total": 0,
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} | null | null | null | Situation: I am having ollama get stuck in an infinite loop on ubuntu 22.04 with certain requests. It appears to die, with broken pipes not breaking out and I have to restart the service. When I say "die" I mean no further requests are handled. As the log at INFO level only logs when the request has been sent back, not... | {
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"total": 0,
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} | null | null | null | ### What is the issue?
Hello Team,
Below is the attached server log; I am trying to run llama3.1 70B on
5700x, 23GB RAM and p100 16GB,
the model loads successfully, but as soon as the prompt is sent, within seconds, I receive the error:
"_Error: error reading llm response: read tcp 127.0.0.1:49245->127.0.... | null | {
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https://api.github.com/repos/ollama/ollama/issues/5073 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5073/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5073/comments | https://api.github.com/repos/ollama/ollama/issues/5073/events | https://github.com/ollama/ollama/issues/5073 | 2,355,307,462 | I_kwDOJ0Z1Ps6MYyPG | 5,073 | crash in oneapi_init on windows | {
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} | null | null | null | When running 0.1.45 on windows ollama ps results in the error
"Error: could not connect to ollama app, is it running?"
A second tray icon appears, the ollama app.exe seems to be running twice but the others crash instantly
Downgraded back to 0.1.44 for now
Log:
```
2024/06/15 23:02:43 routes.go:1011: INFO server... | {
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https://api.github.com/repos/ollama/ollama/issues/3424 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3424/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3424/comments | https://api.github.com/repos/ollama/ollama/issues/3424/events | https://github.com/ollama/ollama/issues/3424 | 2,216,951,849 | I_kwDOJ0Z1Ps6EJAAp | 3,424 | Support for OpenSUSE Tumbleweed and Leap in installer script | {
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"total": 0,
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} | null | null | null | ### What are you trying to do?
To install ollama on OpenSUSE Tumbleweed and Leap.
My laptop has AMD and Nvidia Video Cards.
Adapting the installation script to make the installation work correctly on OpenSUSE as well.
curl -fsSL https://ollama.com/install.sh | sh
### How should we solve this?
To install gra... | null | {
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https://api.github.com/repos/ollama/ollama/issues/6826 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6826/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6826/comments | https://api.github.com/repos/ollama/ollama/issues/6826/events | https://github.com/ollama/ollama/issues/6826 | 2,528,419,723 | I_kwDOJ0Z1Ps6WtJ-L | 6,826 | Massive performance regression on 0.1.32 -> GGML_CUDA_FORCE_MMQ: (SET TO NO, after 0.1.31) | {
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"url": "https://api.github.com/users/dhiltgen",
"html_url": "https://github.com/dhiltgen",
"followers_url": "https://api.gi... | null | 4 | 2024-09-16T13:04:35 | 2024-10-23T00:09:21 | null | NONE | {
"total": 0,
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} | null | null | null | ### What is the issue?
For reference:
https://github.com/ollama/ollama/issues/3938
The issue might be actually result of disabling the following mode:
Older versions: 0.1.31
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: YES
New versions (After 0.1.31)
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
I tried to forc... | null | {
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} | null | null | null | The `ollama ps` command is great but it would be nice to have flags to get some additional information such as which GPU(s) the model is running on and how much it is using on that GPU. | null | {
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