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no ollama recompil but fast evolution without you have more work... | null | {
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https://api.github.com/repos/ollama/ollama/issues/986 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/986/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/986/comments | https://api.github.com/repos/ollama/ollama/issues/986/events | https://github.com/ollama/ollama/issues/986 | 1,976,025,776 | I_kwDOJ0Z1Ps51x8Kw | 986 | Uninstall ollama from linux | {
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1. Delete the Ollama binary:
Use the `rm` command to remove the Ollama binary. For example:
```
sudo rm /usr/local/bin/ollama
```
2. If the script created a systemd service, disable and remove it:
If the script created a systemd service for Ol... | {
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} | null | null | null | ### What is the issue?
<img width="1217" alt="截屏2024-05-11 10 52 49" src="https://github.com/ollama/ollama/assets/146583103/422e0577-4721-4fa8-b063-ad248fe933a2">
please improve search engine . show the relevant result.
### OS
macOS
### GPU
Apple
### CPU
Apple
### Ollama version
1.35 | {
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This is quite a big issue, but affects probably less than 0.01% of users, so I am tagging this as minor.
I am using Ollama locally on Asus ROG Flow Z13 with XG Mobile eGPU - this is Asus's proprietary eGPU technology, it's quite different than connecting with Thunderbolt, so I can't really te... | {
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https://api.github.com/repos/ollama/ollama/issues/1880 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1880/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1880/comments | https://api.github.com/repos/ollama/ollama/issues/1880/events | https://github.com/ollama/ollama/pull/1880 | 2,073,336,091 | PR_kwDOJ0Z1Ps5joTw2 | 1,880 | improve cuda detection (rel. issue 1704) | {
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A very high performing finetune of phi-2 | {
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```
messages=[
{
"role": "user",
"content": [
{
"type": "file_url",
"name": "2222.docx",
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} | null | null | null | I am using docker-compose to create both the server and webgui of ollama. These compile fine. Going to either port shows that both are running. There are no errors in the logs. However, if I use exec in the container, or go to a console in portainer, there are problems loading any model (I tried openchat and llama2). I... | {
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} | As discussed in #5458, there does not appear to be a way to enable row-split rather than layer splitting, which on older multi-gpu setups seems to result in a 40-70% performance improvement.
I tested this on 3xP40 24GB GPUs running Ubuntu Server 22.04, and observed about a 70% improvement in throughput, but it does ... | null | {
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https://github.com/mbzuai-oryx/MobiLlama | null | {
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```
...
llm_load_tensors: VRAM used: 3968.42 MB
..GGML_ASSERT: /build/ollama/src/ollama-cuda/llm/llama.cpp/gguf/ggml-cuda.cu:6115: false
2023/10/26 16:09:13 llama.go:378: signal: aborted (core dumped)
2023/10/26 16:09:13 llama.go:386: error starting llama runner: llama runner ... | {
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https://api.github.com/repos/ollama/ollama/issues/94 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/94/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/94/comments | https://api.github.com/repos/ollama/ollama/issues/94/events | https://github.com/ollama/ollama/pull/94 | 1,808,815,249 | PR_kwDOJ0Z1Ps5Vufup | 94 | stop condition | {
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Installed as website claims:
```
ollama run llama3.2
```
Can't even help with basic installation steps or where local files are located:
```
$ ollama run llama3.2
pulling manifest
pulling dde5aa3fc5ff... 100% ▕██▏ 2.0 GB
pulling 966de95ca8a6... 100% ▕██▏ 1.4 KB
pulling fcc5a6bec9... | {
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https://api.github.com/repos/ollama/ollama/issues/6844 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6844/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6844/comments | https://api.github.com/repos/ollama/ollama/issues/6844/events | https://github.com/ollama/ollama/pull/6844 | 2,532,167,023 | PR_kwDOJ0Z1Ps570TMf | 6,844 | runner.go: Don't panic when processing sequences | {
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} | If there is an error processing a sequence, we should simply return
an HTTP error and abort that sequence rather than panic the whole
runner. This will make us more resilient to transient failures.
Panics can still occur during startup as there is no way to serve
requests if that fails.
Based on some code that... | {
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https://api.github.com/repos/ollama/ollama/issues/4930 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4930/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4930/comments | https://api.github.com/repos/ollama/ollama/issues/4930/events | https://github.com/ollama/ollama/issues/4930 | 2,341,631,707 | I_kwDOJ0Z1Ps6Lknbb | 4,930 | Application Failure on Latest MacBook M1, Runs Smoothly on Intel Mac | {
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```
ollama run qwen2
Error: llama runner process has terminated: signal: abort trap error:error loading model vocabulary: unknown pre-tokenizer type: 'qwen2'
```
### OS
macOS
### GPU
Apple
### CPU
Apple
### Ollama version
0.1.37 | {
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https://api.github.com/repos/ollama/ollama/issues/2028 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2028/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2028/comments | https://api.github.com/repos/ollama/ollama/issues/2028/events | https://github.com/ollama/ollama/issues/2028 | 2,085,766,643 | I_kwDOJ0Z1Ps58UkXz | 2,028 | how to remove ollama from macos? | {
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If you terminate processes from system monitoring, they start again immediately and the application itself cannot be deleted either. | {
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https://api.github.com/repos/ollama/ollama/issues/4318 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4318/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4318/comments | https://api.github.com/repos/ollama/ollama/issues/4318/events | https://github.com/ollama/ollama/issues/4318 | 2,290,200,694 | I_kwDOJ0Z1Ps6IgbB2 | 4,318 | Can this set the number of cores on the cpu? | {
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https://api.github.com/repos/ollama/ollama/issues/1201 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1201/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1201/comments | https://api.github.com/repos/ollama/ollama/issues/1201/events | https://github.com/ollama/ollama/issues/1201 | 2,001,162,928 | I_kwDOJ0Z1Ps53R1Kw | 1,201 | Issues with files written to /tmp | {
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This is causing a few issues. First, /tmp is frequently part of a separate logical volume than /home/ and other partitions. I... | {
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https://api.github.com/repos/ollama/ollama/issues/5362 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5362/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5362/comments | https://api.github.com/repos/ollama/ollama/issues/5362/events | https://github.com/ollama/ollama/issues/5362 | 2,380,928,840 | I_kwDOJ0Z1Ps6N6hdI | 5,362 | allow temperature to be set on command line ( w/out using a modelfile ) | {
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would be super helpful to set temperature for models via command line, rather than having to create a separate model file for every model and temperature combination. | null | {
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(venv) root@afa266a7b553:/workspace# litellm --model starling-lm --test
/workspace/venv/lib/python3.10/site-packages/pydantic/_internal/_fields.py:149: UserWarning: Field "model_list" has conflict with protected namespace "model_".
You may be able to resolve this warning by setting `model_config['protected_nam... | {
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And basically I would like to see it as an option to either change the value or simply put it to 1.
Currently it is overloading my router (which does content inspection) and then my whole network almost has no internet any more.
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} | null | null | null | ### What is the issue?
Previously, I was using 515 version of NVIDIA driver and cuda11.7, and I could load a model (qwen1.5_32b_q8) on two GPUs by setting OLLAMA_SCHED_SPREAD=1.
But now I am using 535 version of NVIDIA driver and cuda12.1, and I want to load a model (qwen1.5_32b_q8) on two GPUs. Even if I set OLLA... | {
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https://huggingface.co/collections/Qwen/qwen25-1m-679325716327ec07860530ba
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Please document what the different windows downloads available, are actually doing and their difference.
### OS
Windows
### GPU
Nvidia... | {
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I can't no longer serve the ollama using regular user. When I try to run "olllama server" command and use it from another terminal windows, I am getting Error about the runner.
time=2024-04-19T15:16:31.832-04:00 level=ERROR source=routes.go:120 msg="error loading llama server" error="llama ... | {
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https://api.github.com/repos/ollama/ollama/issues/2875 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2875/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2875/comments | https://api.github.com/repos/ollama/ollama/issues/2875/events | https://github.com/ollama/ollama/issues/2875 | 2,164,707,586 | I_kwDOJ0Z1Ps6BBtEC | 2,875 | Set attention type for Mistral 7B | {
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There seem to be options as per the Mistral git.
https://github.com/mistralai/mistral-src
https://huggingface.co/docs/transformers/main/model_doc/mistral HF talks abt using flash attention
Also any pointer on how to interpert the de... | {
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https://api.github.com/repos/ollama/ollama/issues/8378 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8378/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8378/comments | https://api.github.com/repos/ollama/ollama/issues/8378/events | https://github.com/ollama/ollama/pull/8378 | 2,781,249,727 | PR_kwDOJ0Z1Ps6HY-Hf | 8,378 | convert: fix tensor iteration by calling Items() method | {
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} | This fixes a range iteration error by properly calling the `Items()` method instead of trying to range over the method itself.
Previously the code was attempting to iterate over the function definition of `Items`, which isn't the valid way to do a range over a function in Go. By adding parentheses to call the metho... | {
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https://api.github.com/repos/ollama/ollama/issues/7530 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7530/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7530/comments | https://api.github.com/repos/ollama/ollama/issues/7530/events | https://github.com/ollama/ollama/issues/7530 | 2,638,873,204 | I_kwDOJ0Z1Ps6dSgJ0 | 7,530 | submitting corrections to models. | {
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Hello. I am using LLama3.2 and I asked it an RXJS question. The answer was clear and pleasantly complete but there was a big mistake in the answer. Citation to corrections can be found on RXJS documentation. How do I submit corrections to the model's answers?
### OS
Linux
### GPU
Intel
### ... | {
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https://api.github.com/repos/ollama/ollama/issues/6482 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6482/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6482/comments | https://api.github.com/repos/ollama/ollama/issues/6482/events | https://github.com/ollama/ollama/pull/6482 | 2,483,833,920 | PR_kwDOJ0Z1Ps55SLaQ | 6,482 | passthrough OLLAMA_HOST path to client | {
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https://api.github.com/repos/ollama/ollama/issues/8413 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8413/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8413/comments | https://api.github.com/repos/ollama/ollama/issues/8413/events | https://github.com/ollama/ollama/pull/8413 | 2,786,108,016 | PR_kwDOJ0Z1Ps6HplkM | 8,413 | remove .prettierrc.json | {
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https://api.github.com/repos/ollama/ollama/issues/8295 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8295/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8295/comments | https://api.github.com/repos/ollama/ollama/issues/8295/events | https://github.com/ollama/ollama/issues/8295 | 2,767,878,471 | I_kwDOJ0Z1Ps6k-nlH | 8,295 | Considerably slower response via API than terminal | {
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I've been trying to run a small model (`gemma2:2b`) on my Raspberry Pi 5. I heard the performance was quite impressive and it's true! When running Ollama in terminal responses are very fast considering the hardware.
https://github.com/user-attachments/assets/eb7b3add-a35a-4123-8e5b-01ca109ae3... | {
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https://api.github.com/repos/ollama/ollama/issues/4712 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4712/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4712/comments | https://api.github.com/repos/ollama/ollama/issues/4712/events | https://github.com/ollama/ollama/pull/4712 | 2,324,340,007 | PR_kwDOJ0Z1Ps5w8LNr | 4,712 | server: skip blob verification for already verified blobs | {
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This should also include a way to force verification via a flag or env or other means. I'll let the bike shedding begin on the _best_ way to handle that. :) | {
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https://api.github.com/repos/ollama/ollama/issues/627 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/627/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/627/comments | https://api.github.com/repos/ollama/ollama/issues/627/events | https://github.com/ollama/ollama/issues/627 | 1,916,520,682 | I_kwDOJ0Z1Ps5yO8jq | 627 | Docs request: `codellama` model on Hugging Face, and broken whitepaper link | {
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- The Whitepaper link is broken
- Can we link the source models on Hugging Face? | {
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I am a front-end development programmer. I found that if the api service started by ollama allows cross-domain requests, then the online web application can also directly request the localhost api, which will greatly reduce the usage threshold of ollama-related applications.
### How sho... | {
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**Please add an option during the setup wizard to enable the gui and add one.** | {
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bge-reranker-large
https://huggingface.co/BAAI/bge-reranker-large
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} | This change:
* adds the KVs for moes
* catches when an improper type was used in the KVs (we can add more if/when this changes)
* accounts for n-tensors in 8x22b moe models (where n > 2) | {
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} | It looks like within the major version 5 family of ROCm releases, there were two significant library major version bumps that seem to be causing problems for some users on some distros. In 5.6, they bumped hipblas and rocblas libraries from .so.0 to newer versions, and do not bundle the old versions in new packages. ... | {
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Error: llama runner process has terminated: signal: abort trap error:error loading model architecture: unknown model architecture: 'gemma2'
### OS
macOS
### GPU
Apple
### CPU
Apple
### Ollama version
ollama version is 0.1.42 | {
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https://api.github.com/repos/ollama/ollama/issues/1937 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1937/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1937/comments | https://api.github.com/repos/ollama/ollama/issues/1937/events | https://github.com/ollama/ollama/pull/1937 | 2,077,790,585 | PR_kwDOJ0Z1Ps5j3no7 | 1,937 | remove client.py | {
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https://api.github.com/repos/ollama/ollama/issues/2554 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2554/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2554/comments | https://api.github.com/repos/ollama/ollama/issues/2554/events | https://github.com/ollama/ollama/pull/2554 | 2,139,744,384 | PR_kwDOJ0Z1Ps5nJhnH | 2,554 | Added FAQ section in readme to reduce issue count | {
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} | * There's a lot of issues that are being used as an Ollama stack overflow. Adding a section like this will help a lot of people
* Fixes #2497
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https://api.github.com/repos/ollama/ollama/issues/1144 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1144/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1144/comments | https://api.github.com/repos/ollama/ollama/issues/1144/events | https://github.com/ollama/ollama/issues/1144 | 1,995,638,118 | I_kwDOJ0Z1Ps528wVm | 1,144 | not found, try pulling it first | {
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} | null | null | null | I am on ubuntu22.04 with ollama 0.1.9. If I run the app with
ollama run mistral,
all works great.
However when i run the following
OLLAMA_HOST=0.0.0.0:1234 ollama serve
the curl -X POST http://ipaddress:1234/api/generate -d '{"model": "mistral", "prompt": "Why is the sky blue?" }'
returns;
... | {
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https://api.github.com/repos/ollama/ollama/issues/6787 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6787/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6787/comments | https://api.github.com/repos/ollama/ollama/issues/6787/events | https://github.com/ollama/ollama/issues/6787 | 2,523,940,488 | I_kwDOJ0Z1Ps6WcEaI | 6,787 | Support googles new "DataGemma" model | {
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https://blog.google/technology/ai/google-datagemma-ai-llm/
https://huggingface.co/collections/google/datagemma-release-66df7636084d2b150a4e6643 | null | {
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https://api.github.com/repos/ollama/ollama/issues/3476 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3476/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3476/comments | https://api.github.com/repos/ollama/ollama/issues/3476/events | https://github.com/ollama/ollama/issues/3476 | 2,223,288,431 | I_kwDOJ0Z1Ps6EhLBv | 3,476 | Vision models (bak/llava) crash and exit Ollama docker container | {
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} | null | null | null | ### What is the issue?
When running vision models such as bakllava or llava (all sizes), the docker container is crashing, returning the following error: `RemoteProtocolError: Server disconnected without sending a response.`
Note: llama2 or other llms run well, i.e
```
completion = ollama.chat(
model='llama... | {
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} | [ImgBot] Optimize images
*Total -- 463.96kb -> 380.99kb (17.88%)
/examples/modelfile-mario/logo.png -- 445.60kb -> 362.69kb (18.61%)
/macapp/assets/iconTemplate@2x.png -- 0.87kb -> 0.84kb (3.82%)
/macapp/assets/iconUpdateTemplate@2x.png -- 0.82kb -> 0.81kb (1.42%)
/macapp/src/ollama.svg -- 16.66kb -> 16.65kb (0.... | {
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https://api.github.com/repos/ollama/ollama/issues/5568 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5568/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5568/comments | https://api.github.com/repos/ollama/ollama/issues/5568/events | https://github.com/ollama/ollama/pull/5568 | 2,397,609,616 | PR_kwDOJ0Z1Ps50zRdo | 5,568 | Fix cannot range over constant error | {
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} | ``` for try := range maxRetries { ``` -> ```for try := 0; try < maxRetries; try++ {``` | {
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https://api.github.com/repos/ollama/ollama/issues/1263 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1263/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1263/comments | https://api.github.com/repos/ollama/ollama/issues/1263/events | https://github.com/ollama/ollama/issues/1263 | 2,009,331,611 | I_kwDOJ0Z1Ps53w_eb | 1,263 | Running Ollama for Orca2:13b on Limited VRAM: Model Configuration and Quantization Inquiry | {
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} | null | null | null | I successfully ran Ollama for Orca2:13b on my local machine, which has only 16GB of VRAM. However, I encountered difficulties running the Orca-2-13b model downloaded from Hugging Face due to insufficient VRAM. What model configuration does Ollama use to run Orca2:13b? Also, is it quantized?" | {
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https://api.github.com/repos/ollama/ollama/issues/6077 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6077/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6077/comments | https://api.github.com/repos/ollama/ollama/issues/6077/events | https://github.com/ollama/ollama/issues/6077 | 2,438,172,162 | I_kwDOJ0Z1Ps6RU44C | 6,077 | Ollama Services run on tcp6 | {
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"total": 0,
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} | null | null | null | ### What is the issue?
Hi
I am trying to run ollama services with Meta 3-70b model, but when I start my services on my VM even with config file ollama_host with port number still runs on tcp6
if anyone facing similar issue on RHEL 8 Vm
### OS
Linux
### GPU
Nvidia
### CPU
AMD
### Ollama ve... | {
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"total": 0,
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} | null | null | null | ### What is the issue?
I am trying to run wizardlm2:8x22b-q4_0 on M3 max machine. However, it is not generating meaningful token to the given prompt.
<img width="520" alt="Screenshot 2024-04-16 at 11 35 33 AM" src="https://github.com/ollama/ollama/assets/63858582/2ceeaff6-dfe2-4c8b-b63a-a33ac9ecb1d2">
ollama ve... | {
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https://api.github.com/repos/ollama/ollama/issues/3957 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3957/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3957/comments | https://api.github.com/repos/ollama/ollama/issues/3957/events | https://github.com/ollama/ollama/pull/3957 | 2,266,494,122 | PR_kwDOJ0Z1Ps5t4Y_R | 3,957 | types/model: export ParseNameBare and Merge | {
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https://api.github.com/repos/ollama/ollama/issues/7105 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7105/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7105/comments | https://api.github.com/repos/ollama/ollama/issues/7105/events | https://github.com/ollama/ollama/issues/7105 | 2,567,677,203 | I_kwDOJ0Z1Ps6ZC6UT | 7,105 | Embed list of string error. Is the /embed endpoint deprecated? | {
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"total": 0,
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} | null | null | null | ### What is the issue?
This works
```
curl http://localhost:11434/api/embeddings -d '{
"model": "mxbai-embed-large",
"prompt": "Llamas are members of the camelid family"
}'
```
But this does not work, returns empty list of embeds
```
curl http://localhost:11434/api/embed -d '{
"model": "mxbai-embed-l... | {
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https://api.github.com/repos/ollama/ollama/issues/5666 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5666/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5666/comments | https://api.github.com/repos/ollama/ollama/issues/5666/events | https://github.com/ollama/ollama/issues/5666 | 2,406,744,397 | I_kwDOJ0Z1Ps6PdAFN | 5,666 | Curious, What's the correct TEMPLATE parameter for google gemma model, in the context of modelfile? I am converting GGUF to ollama by myself by using the command "ollama crea xxx -f xxx" | {
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"total": 0,
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} | null | null | null | Curious, What's the correct TEMPLATE parameter for google gemma model, in the context of modelfile? I am converting GGUF to ollama by myself by using the command "ollama crea xxx -f xxx"
the original hugingface repo chat_template is as follows
```
{% if messages[0]['role'] == 'system' %}
{{ raise_ex... | {
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https://api.github.com/repos/ollama/ollama/issues/8620 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8620/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8620/comments | https://api.github.com/repos/ollama/ollama/issues/8620/events | https://github.com/ollama/ollama/issues/8620 | 2,814,178,540 | I_kwDOJ0Z1Ps6nvPTs | 8,620 | Add support fo Qwen 2.5 VL models (3B, 7B and 32B) instruct versions | {
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} | null | null | null | Hello, now hours after being released, I would like to suggest that you add support for the Qwen2.5-VL models.
**[Qwen2.5-VL - Hugginface collection](https://huggingface.co/collections/Qwen/qwen25-vl-6795ffac22b334a837c0f9a5)** | null | {
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} | null | null | null | Just saw this table: https://github.com/ggerganov/llama.cpp/pull/1684#issuecomment-1579252501
Perplexity loss is considerably higher for `q4_0` compared to `q4_km`. `km` provides the best tradeoff between size and performance, as noted also [here](https://huggingface.co/TheBloke/Mixtral-8x7B-v0.1-GGUF).
`ollama` ... | {
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When I use Modelfile to create a new model using Ollama create xxx -f xxx.modefile, error (error: /tmp/ollama-tfxxxxxxx no space left) occurs. I noticed that /tmp and /usr/share/ollama share the same root directory that has no space, so I change OLLAMA_TMPDIR and OLLAMA_MODELS to a customized ... | {
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so I got this idea, how about adding an option to show us how many models we have had with a simple right click on the llama icon?
here
yeah yeah I know _ollama list_ can show 'em all, but its not convinie... | null | {
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https://api.github.com/repos/ollama/ollama/issues/6547 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6547/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6547/comments | https://api.github.com/repos/ollama/ollama/issues/6547/events | https://github.com/ollama/ollama/pull/6547 | 2,493,002,215 | PR_kwDOJ0Z1Ps55we4u | 6,547 | Optimize container images for startup | {
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} | Replaces #6485
Move the payload handling logic to a discrete go module so we can start to lay the foundation to toggle between C++ and Go runner implementation at build time.
This change adjusts how to handle runner payloads to support container builds where we keep them extracted in the filesystem. This makes i... | {
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https://api.github.com/repos/ollama/ollama/issues/2762 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2762/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2762/comments | https://api.github.com/repos/ollama/ollama/issues/2762/events | https://github.com/ollama/ollama/issues/2762 | 2,153,642,588 | I_kwDOJ0Z1Ps6AXfpc | 2,762 | Quip# support for better quantization and quality. | {
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} | null | null | null | Quip# quantization methods are proving a drastic improvement in quantizing the models while retaining the quality of the model, especially with **Quip# 3bit quantization getting better results than Theoretical Lossless (FP16) 4 Bit**.
I think supporting these new quantization methods would benefit a lot the Ollama c... | null | {
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I have a server with 4 RTX 4090 GPUs. When I run a model, all GPUs are utilized between 10-25%, while the CPU ... | {
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} | This PR attempts to add support for setting the K/V cache quantization type directly from a model’s Modelfile, building on the recently merged K/V cache quantization feature introduced in PR #6279. The original contributor, @sammcj, spent months navigating architectural challenges and extensive review cycles to bring K... | null | {
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https://api.github.com/repos/ollama/ollama/issues/2439 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2439/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2439/comments | https://api.github.com/repos/ollama/ollama/issues/2439/events | https://github.com/ollama/ollama/issues/2439 | 2,128,030,833 | I_kwDOJ0Z1Ps5-1yxx | 2,439 | Feature | {
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} | null | null | null | I wrote this code to chunk streaming into sentences. If you want to use it to enhance your streaming api call, please do.
import nltk
from langchain_community.llms import Ollama
# ANSI escape codes for colors
NEON_GREEN = '\033[92m'
RESET_COLOR = '\033[0m'
# Download NLTK's PunktSentenceTokenizer
nl... | {
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patched llama.cpp to involve a callback containing streaming progress
`quantizing model tensors 69/195 ⠹ ` | {
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} | - abort prediction (generate/chat) requests when a token repeat limit is hit
- this prevent json format infinite loops
- this prevents a stuck request from starving the other queued requests
- move completion cancellation to its own function
Tested with this code from #1910
```python
import requests
import j... | {
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Error message on attempt to pull some model:
>Error: pull model manifest: Get "https://registry.ollama.ai/v2/library/llama3.1/manifests/latest": tls: failed to verify certificate: x509: certificate is valid for ollama.com, www.ollama.com, registry.ollama.com, not registry.ollama.ai
check... | {
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https://api.github.com/repos/ollama/ollama/issues/1825 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1825/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1825/comments | https://api.github.com/repos/ollama/ollama/issues/1825/events | https://github.com/ollama/ollama/pull/1825 | 2,068,679,870 | PR_kwDOJ0Z1Ps5jYiYI | 1,825 | feat: add support for min_p (resolve #1142) | {
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https://api.github.com/repos/ollama/ollama/issues/7736 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7736/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7736/comments | https://api.github.com/repos/ollama/ollama/issues/7736/events | https://github.com/ollama/ollama/issues/7736 | 2,671,149,673 | I_kwDOJ0Z1Ps6fNoJp | 7,736 | SSL support (For Brave Leo AI & others) | {
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Using Brave Leo AI with Ollama locally, on the same computer, is working like a charm using HTTP://localhost:11434/v1/chat/completions
But when I try to use Ollama via LAN from a different PC, Brave Leo demands a secure HTTP connection - HTTPS is mandatory and Brave setting doesn't allow you to put a simple ... | {
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https://api.github.com/repos/ollama/ollama/issues/274 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/274/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/274/comments | https://api.github.com/repos/ollama/ollama/issues/274/events | https://github.com/ollama/ollama/issues/274 | 1,835,902,839 | I_kwDOJ0Z1Ps5tbad3 | 274 | Ability to download Vicuna v1.5 Models | {
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- https://github.com/lm-sys/FastChat/tree/main#model-weights | {
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https://api.github.com/repos/ollama/ollama/issues/4718 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4718/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4718/comments | https://api.github.com/repos/ollama/ollama/issues/4718/events | https://github.com/ollama/ollama/issues/4718 | 2,325,130,484 | I_kwDOJ0Z1Ps6Klqz0 | 4,718 | Ensuring Flash Attention Support in Official Docker Images by Setting Environment Variables | {
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} | null | null | null | ### What is the issue?
Does the official Docker image have a runtime environment for Flash Attention? Is it sufficient to directly set the environment variable OLLAMA_FLASH_ATTENTION to configure it?
### OS
_No response_
### GPU
_No response_
### CPU
_No response_
### Ollama version
v0.1.39 | {
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https://api.github.com/repos/ollama/ollama/issues/2840 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2840/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2840/comments | https://api.github.com/repos/ollama/ollama/issues/2840/events | https://github.com/ollama/ollama/issues/2840 | 2,161,765,792 | I_kwDOJ0Z1Ps6A2e2g | 2,840 | Plans for Ollama Go library? | {
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Are there plans to develop a similar native Go library?
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https://api.github.com/repos/ollama/ollama/issues/5462 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5462/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5462/comments | https://api.github.com/repos/ollama/ollama/issues/5462/events | https://github.com/ollama/ollama/issues/5462 | 2,388,867,949 | I_kwDOJ0Z1Ps6OYztt | 5,462 | Inaccurate reasoning of multimodal (llava) using HTTP | {
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"total": 0,
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} | null | null | null | ### What is the issue?
I passed the image path directly to the command line through cmd and asked llava to describe the image, which was very accurate. But when I called llava through http (http://127.0.0.1:11434/v1), its description was incorrect. How can I make it maintain the same inference effect as cmd? Is it bec... | {
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https://api.github.com/repos/ollama/ollama/issues/7559 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7559/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7559/comments | https://api.github.com/repos/ollama/ollama/issues/7559/events | https://github.com/ollama/ollama/issues/7559 | 2,641,615,197 | I_kwDOJ0Z1Ps6dc9ld | 7,559 | llama3.2-vision projector_info vision encoder absence | {
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} | null | null | null | ### What is the issue?
How can I definitively identify a model as vision-compatible
without relying on keywords like "vision," "llava," or "-v" in its name?
I used to rely on the projector_info.has_vision_encoder parameter,
from API request POST http://localhost:11434/api/show (with correct body),
but it's ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/2731 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2731/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2731/comments | https://api.github.com/repos/ollama/ollama/issues/2731/events | https://github.com/ollama/ollama/issues/2731 | 2,152,311,654 | I_kwDOJ0Z1Ps6ASatm | 2,731 | [Issue] using gemma model as a chatbot | {
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## Examp... | {
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Ollama can not work properly after upgrading to 0.5.1 on Mac. In the previous version, all downloaded models could perform inference normally. However, the new version seems unable to utilize macOS unified memory and has a memory leak issue, with memory usage continuously increasing.
Hardwar... | {
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} | This adds a new API and CLI UX to expose some basic information about the system.
Example CLI output:
```
% ollama info
Client:
Version: 0.0.0
Configuration: /Users/daniel/.ollama
Connection: http://localhost:11434
Server:
Version: 0.3.13-13-g436602d
Models:
Store: /Users/daniel... | null | {
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When running the ollama container, it is not using the GPU although it is visible in the same container, as it outputs `nvidia-smi` normally.
# Steps to reproduce
1. Run the command `podman run --device nvidia.com/gpu=all --security-opt label=disable --detach --volume .ollama:/root/.ollama -p 11434:1... | {
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https://api.github.com/repos/ollama/ollama/issues/2983 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2983/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2983/comments | https://api.github.com/repos/ollama/ollama/issues/2983/events | https://github.com/ollama/ollama/pull/2983 | 2,174,194,890 | PR_kwDOJ0Z1Ps5o--OM | 2,983 | Get term size from stderr and /dev/tty to avoid redirection caused getting size error. | {
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} | As issue #2970 said, `ollama run phi | tee llms/out.txt` leads to error. When using a pipe operator following the `ollama` command the`os.Stdout` points to a pipe instead of the terminal, so `term.Getsize` failed.
Now the code gets terminal size from stderr first, which enables `ollama run phi | tee llms/out.txt` t... | {
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https://api.github.com/repos/ollama/ollama/issues/176 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/176/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/176/comments | https://api.github.com/repos/ollama/ollama/issues/176/events | https://github.com/ollama/ollama/issues/176 | 1,816,779,137 | I_kwDOJ0Z1Ps5sSdmB | 176 | Javascript package | {
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When will the openai embedding format be compatible?
### How should we solve this?
When will the openai embedding format be compatible?
### What is the impact of not solving this?
When will the openai embedding format be compatible?
### Anything else?
When will the openai embedding... | {
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When I create model , error happen like "Error: invalid model reference: qwen2-7b-instruct-q8_0.gguf".
$ ollama create qwen2.7b -f ./Modelfile
transferring model data
Error: invalid model reference: qwen2-7b-instruct-q8_0.gguf
$ more Modelfile
FROM qwen2-7b-instruct-q8_0.gguf
TEM... | {
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For example, I may have the following models on my system for testing:
mistral-nemo:12b-instruct-2407-q3_K_S
mistral-nemo:12b-instruct-2407-q4_K_S
mistral-nemo:12b-instruct-2407-q5_K_M
I think it would be helpful to see a numbered list of model names when usin... | {
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https://api.github.com/repos/ollama/ollama/issues/2434 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2434/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2434/comments | https://api.github.com/repos/ollama/ollama/issues/2434/events | https://github.com/ollama/ollama/issues/2434 | 2,127,951,783 | I_kwDOJ0Z1Ps5-1fen | 2,434 | Linux Install Instructions | {
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`curl https://ollama.ai/install.sh | sh`
I had to change the command to this, for it to work.
`curl https://ollama.com/install.sh | sh` | {
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https://api.github.com/repos/ollama/ollama/issues/267 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/267/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/267/comments | https://api.github.com/repos/ollama/ollama/issues/267/events | https://github.com/ollama/ollama/issues/267 | 1,835,232,142 | I_kwDOJ0Z1Ps5tY2uO | 267 | Allow overriding the prompt template at generate time | {
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https://api.github.com/repos/ollama/ollama/issues/1322 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1322/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1322/comments | https://api.github.com/repos/ollama/ollama/issues/1322/events | https://github.com/ollama/ollama/issues/1322 | 2,017,333,231 | I_kwDOJ0Z1Ps54Pg_v | 1,322 | :grey_question: Run a given LLM/model within docker/podman/cloud run :baby: | {
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I intend to deploy a given LLM (out of the box or customized) thanks to `ollama` (let's say `https://ollama.ai/library/mistral`), then call its APIs from various clients.
Here would be an example of my scenario:
1. **Build/customize the image** that runs mistral (for example) within oll... | {
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https://api.github.com/repos/ollama/ollama/issues/991 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/991/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/991/comments | https://api.github.com/repos/ollama/ollama/issues/991/events | https://github.com/ollama/ollama/pull/991 | 1,976,983,241 | PR_kwDOJ0Z1Ps5elAyW | 991 | Add `/chat` API | {
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} | - add a new `/api/chat` API endpoint that takes an array of `message` objects. This endpoint is an alternative to `/api/generate`.
- deprecate generation context and template, but continue to support them
- rebuild chat content from messages
This changes adds a `/api/chat` endpoint to the API which takes an array ... | {
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https://api.github.com/repos/ollama/ollama/issues/4809 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4809/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4809/comments | https://api.github.com/repos/ollama/ollama/issues/4809/events | https://github.com/ollama/ollama/issues/4809 | 2,333,107,602 | I_kwDOJ0Z1Ps6LEGWS | 4,809 | Add information on RAM and VRAM requirements of model quantization in library | {
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} | null | null | null | this would help to decide which model can run
a) at all
b) at highest-quality although slowly
c) at highest-quality at GPU-speed
before downloading huge files
I think one of the great plus of Ollama is the curated model library. adding memory information would make it even more convenient.
_thank you for this... | null | {
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