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} | Ollama API tools/tool_calls support
The tool support would consist of three addons to the ollama core.
1. Adding "tools" to the chat request and "tool_calls" to the chat response
2. Extending the model template to support `.Tools` and `.Results` variables.
3. To support detection of the model responding with a to... | {
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https://github.com/suno-ai/bark
Bark is a transformer-based text-to-audio model created by [Suno](https://suno.ai/). Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. The m... | {
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} | [Moore Threads](https://en.mthreads.com/), a cutting-edge GPU startup, introduces MUSA (Moore Threads Unified System Architecture) as its foundational technology. This pull request marks the initial integration of MTGPU support into Ollama, leveraging MUSA's capabilities to enhance LLM inference performance.
I also ... | {
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**Description:**
I encountered an issue with the Ollama LLava:13B model where the output was consistently `###############` after a period of inactivity. Restarting the `ollama.service` resolved the issue temporarily, but the root cause remains unclear.
---
**Environment:**
- **Mod... | {
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} | summary of changes:
1. add `[img-x]` to prompt content when there are images. `x` corresponds to the image's id. for generate, this is just the image's index in the Images list. for chat, this is the image's index of among all images in the messages list
2. account for image embedding when trimming the context. ima... | {
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} | null | null | null | When creating a vector database, we use embedding models such as bge-m3. The problem is that if the size of the text sent for vectorization does not fit into the context window of the model, the data is simply lost! and the Ollama project does not have a SINGLE MODEL!!! that would simply calculate tokens in the text be... | {
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ollama-1 | time=2024-08-20T02:46:33.204Z level=INFO source=memory.go:309 msg="offload to cpu" layers.requested=-1 layers.model=25 layers.offload=0 layers.split="" memory.available="[22.2 GiB]" memory.required.full="820.5 MiB" memory.required.partial="0 B" memory.required.kv="48.0 MiB" memory.re... | {
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ollama list -l
display usual information, but also related license name for each model | null | {
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--
"We just released new versions of Code Llama, our LLM for code generation. Code Llama 70B consists of two new 70B parameter base models and one additional instruction fine-tuned model — CodeLlama-70B-Instruct, which achieves the strongest HumanEval performance of any Llama model we’ve ... | {
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Hi,
I just downloaded ollama and tried to run the command ` ollama pull llama3:70b-instruct-q2_K`, the download starts with good speed and exactly after 4-5 seconds speeds drop drastically to 165kbps and lower. Most of the times it stays at 0B, I tried this with both my home network and office ... | {
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} | Just added a couple commands in case folks aren't familiar with python.
```bash
$ python loganalysis.py logtest.logfile
>>>bash
2023-11-10 07:17:44 192.168.65.1 - - [10/Nov/2023:13:17:43 +0000] "GET / HTTP/1.1" 200 615 "-" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Ch... | {
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I have tried running it with num_gpu 1 but that generated the warnings below.
`
2023/11/06 16:06:33 llama.go:384: starting llama runner
2023/11/06 16:06:33 llama.go:386: error starting the external llama run... | {
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https://api.github.com/repos/ollama/ollama/issues/1532 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1532/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1532/comments | https://api.github.com/repos/ollama/ollama/issues/1532/events | https://github.com/ollama/ollama/issues/1532 | 2,042,657,541 | I_kwDOJ0Z1Ps55wHsF | 1,532 | [Feature Request] Add Discussion Tab to Ollama Repo | {
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@jmorganca I think it would be worth adding the Discussions Tab to the Github
![CleanShot 2023-... | {
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https://api.github.com/repos/ollama/ollama/issues/3681 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3681/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3681/comments | https://api.github.com/repos/ollama/ollama/issues/3681/events | https://github.com/ollama/ollama/pull/3681 | 2,246,809,095 | PR_kwDOJ0Z1Ps5s2DNL | 3,681 | Support unicode characters in model path | {
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} | When running the c++ subprocess, unicode characters in file names were not being parsed correctly, resulting in an error. This changes `server.cpp` to use `wmain` to receive the wide characters and converts them first.
Closes #3273
Fixes #2888
Fixes #3120 | {
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Error: Post "http://127.0.0.1:11434/api/generate": EOF
GPU INFO:
![Uploading image.png…]()
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https://api.github.com/repos/ollama/ollama/issues/4651 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4651/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4651/comments | https://api.github.com/repos/ollama/ollama/issues/4651/events | https://github.com/ollama/ollama/issues/4651 | 2,317,860,277 | I_kwDOJ0Z1Ps6KJ721 | 4,651 | Error When Running Granite Code 20b | {
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} | null | null | null | ### What is the issue?
When executing `ollama run granite-code:20b` getting the following error on `linux`:
```bash
Error: llama runner process has terminated: signal: aborted (core dumped)
```
### OS
Linux
### GPU
Other
### CPU
Intel
### Ollama version
0.1.38 | {
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https://api.github.com/repos/ollama/ollama/issues/209 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/209/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/209/comments | https://api.github.com/repos/ollama/ollama/issues/209/events | https://github.com/ollama/ollama/pull/209 | 1,820,618,623 | PR_kwDOJ0Z1Ps5WWUKD | 209 | enable k quants | {
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https://api.github.com/repos/ollama/ollama/issues/3460 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3460/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3460/comments | https://api.github.com/repos/ollama/ollama/issues/3460/events | https://github.com/ollama/ollama/issues/3460 | 2,220,991,527 | I_kwDOJ0Z1Ps6EYaQn | 3,460 | dual GPU 8G/16G - CUDA error: out of memory with dolphin-mixtral | {
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} | null | null | null | ### What is the issue?
Ollama crashes out entirely with error (throws error, then terminates process)
[CUDA error: out of memory current device: 0, in function alloc at C:\a\ollama\ollama\llm\llama.cpp\ggml-cuda.cu:445 cudaMalloc((void **) &ptr, look_ahead_size) GGML_ASSERT: C:\a\ollama\ollama\llm\llama.cpp\ggml-cu... | {
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https://api.github.com/repos/ollama/ollama/issues/1340 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1340/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1340/comments | https://api.github.com/repos/ollama/ollama/issues/1340/events | https://github.com/ollama/ollama/pull/1340 | 2,020,066,876 | PR_kwDOJ0Z1Ps5g2uw2 | 1,340 | Update generate_linux.go | {
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The issue still here | {
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https://api.github.com/repos/ollama/ollama/issues/7151 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7151/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7151/comments | https://api.github.com/repos/ollama/ollama/issues/7151/events | https://github.com/ollama/ollama/issues/7151 | 2,576,137,686 | I_kwDOJ0Z1Ps6ZjL3W | 7,151 | Falcon Mamba Quality Issues | {
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Ollama has a quality issue when running Falcon Mamba that is not present when using Llama.cpp.
#### Ollama:
```
>>> What is 10*10/10 + 10/10*10?
Let's solve the given equation step by step:
- First, we need to simplify each term in parentheses according to BODMAS rule which stands for Br... | {
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Developed a chat app with a function of pulling the model by user directly into streamlit and select the model through dropdown.
i have pulled several model succesfully but when i try to do with large model Eg: Llava ii gives me a Asyncio.timeout.error.
i am using WSL2 (UBUNTU) and running... | {
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Error when running deepseek-coder-v2:
`
(base) root@fdtech-ai-node08:~# ollama run deepseek-coder-v2
pulling manifest
pulling 5ff0abeeac1d... 94% ▕██████████████████████████████████████████████████ ... | {
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At the same time, I have observed that during content output, one CPU core consistently has a high load(70% load), ... | null | {
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CUDA error: out of memory
current device: 0, in function ggml_cuda_pool_malloc_vmm at C:\Users\jmorg\git\ollama\llm\llama.cpp\ggml-cuda.cu:8583
cuMemCreate(&handle, reserve_size, &prop, 0)
GGML_ASSERT: C:\Users\jmorg\git\ollama\llm\llama.cpp\ggml-cuda.cu:256: !"CUDA error"
### What did y... | {
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It would be nice to be able to search / filter by license on this page https://ollama.com/library | null | {
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https://api.github.com/repos/ollama/ollama/issues/5560 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5560/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5560/comments | https://api.github.com/repos/ollama/ollama/issues/5560/events | https://github.com/ollama/ollama/pull/5560 | 2,397,097,148 | PR_kwDOJ0Z1Ps50xgYG | 5,560 | server: fix model reloads when setting `OLLAMA_NUM_PARALLEL` | {
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https://api.github.com/repos/ollama/ollama/issues/6631 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6631/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6631/comments | https://api.github.com/repos/ollama/ollama/issues/6631/events | https://github.com/ollama/ollama/issues/6631 | 2,504,716,249 | I_kwDOJ0Z1Ps6VSu_Z | 6,631 | Add model Phi3-Vision | {
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https://huggingface.co/microsoft/Phi-3-vision-128k-instruct
Hoping to see it in ollama models. | {
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https://api.github.com/repos/ollama/ollama/issues/1240 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1240/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1240/comments | https://api.github.com/repos/ollama/ollama/issues/1240/events | https://github.com/ollama/ollama/issues/1240 | 2,006,366,288 | I_kwDOJ0Z1Ps53lrhQ | 1,240 | The DeepSeek-Coder AI model is not loading entirely into RAM, causing the model responses to be very slow. | {
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I am using Ollama on a Mac Studio M1 Max with 64GB RAM. I have experimented with different models such as DeepSeek Coder AI 33b, WizardCoder Python 13b, and Mistral 7b text. Most of these models are stored entirely in RAM, except for the DeepSeek Coder model. The 33b model uses less than 4GB of RAM, while Wizard... | {
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https://api.github.com/repos/ollama/ollama/issues/4113 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4113/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4113/comments | https://api.github.com/repos/ollama/ollama/issues/4113/events | https://github.com/ollama/ollama/issues/4113 | 2,276,719,349 | I_kwDOJ0Z1Ps6Hs_r1 | 4,113 | The API has become extremely flaky. It used to be very stable. | {
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} | null | null | null | ### What is the issue?
There was a problem with request to openai API:
('Connection aborted.', RemoteDisconnected('Remote end closed connection without response'))
I guess it is the same as this:
panic: runtime error: invalid memory address or nil pointer dereference
[signal SIGSEGV: segmentation violation c... | {
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https://api.github.com/repos/ollama/ollama/issues/6121 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6121/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6121/comments | https://api.github.com/repos/ollama/ollama/issues/6121/events | https://github.com/ollama/ollama/pull/6121 | 2,442,653,638 | PR_kwDOJ0Z1Ps53IbKT | 6,121 | Speech mod feature | {
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https://api.github.com/repos/ollama/ollama/issues/4358 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4358/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4358/comments | https://api.github.com/repos/ollama/ollama/issues/4358/events | https://github.com/ollama/ollama/issues/4358 | 2,290,870,503 | I_kwDOJ0Z1Ps6Ii-jn | 4,358 | No Devices Found on Ryzen 7 8840u | {
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"total": 0,
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} | null | null | null | ### What is the issue?
When I try to load a model I receive this error message:
`Error: llama runner process has terminated: signal: aborted (core dumped) error:Could not initialize Tensile host: No devices found`
Here is the docker compose file that I am using to run this:
```
version: '3'
services:
ollama:... | {
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https://api.github.com/repos/ollama/ollama/issues/829 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/829/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/829/comments | https://api.github.com/repos/ollama/ollama/issues/829/events | https://github.com/ollama/ollama/pull/829 | 1,948,469,981 | PR_kwDOJ0Z1Ps5dEs5j | 829 | added python rag news summary | {
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https://api.github.com/repos/ollama/ollama/issues/3965 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3965/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3965/comments | https://api.github.com/repos/ollama/ollama/issues/3965/events | https://github.com/ollama/ollama/issues/3965 | 2,266,561,185 | I_kwDOJ0Z1Ps6HGPqh | 3,965 | Serving Ollama behind a corporate proxy - Not working in Mac M3 | {
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"total": 0,
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} | null | null | null | ### What is the issue?
Encountered an error while running ollama behind corporate proxy.
Error:
pulling manifest
Error: pull model manifest: Get "https://registry.ollama.ai/v2/library/gemma/manifests/2b": dial tcp: lookup registry.ollama.ai: no such host
Tried https://github.com/ollama/ollama/issues/729, But... | {
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https://api.github.com/repos/ollama/ollama/issues/1601 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1601/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1601/comments | https://api.github.com/repos/ollama/ollama/issues/1601/events | https://github.com/ollama/ollama/issues/1601 | 2,048,114,596 | I_kwDOJ0Z1Ps56E7-k | 1,601 | Error: 403 on pulling manifest | {
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} | null | null | null | Hi,
Thanks very much for building this great project!
I would like to set up ollama in the internal Linux server of my office but it fails pulling pre-trained models as follows.
```
# installation
$ curl https://ollama.ai/install.sh | sh
# run
$ ollama run llama2
pulling manifest
Error: 403:
```
I'v... | {
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I have copied the pub keys to my profile, maybe it is a firewall issue?
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```
>>> Installing ollama to /usr/local/bin...
>>> Adding current user to ollama group...
>>> Creating ollama systemd service...
>>> Enabling and starting ollama service...
>>> Installing NVIDIA repository...
Adding repo... | {
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```
❯ ./ollama run library/nous-hermes:latest ... | {
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At times, Ollama does not complete chat requests. The client waits and timeouts. Ollama reports the cancellation in the log and cancels the runner. If streaming, Ollama will continue to stream repeating data and not end the stream. If not streaming, Ollama will never respond to the chat request.... | {
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These have been introduced to support DeepSeek R1 models, their training templates elide old `<think>` blocks as the conversation progresses.
Supporting this us... | {
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I can run `ollama show <model> --modelfile` but that only works for models I have downloaded. | null | {
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we ❤️ Ollama. Thank you for this great framework. I wa
There are many parameters for text generation Many of such parameters overlap with [llama.ccp](https://github.com/ggerganov/llama.cpp/blob/master/examples/main/README.md#common-options), while few of them do not, e.g.
1. num_thread
2. repeat_la... | null | {
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Hello,
I am trying to run llama3-8B:instruct on 2 * GTX 970 (4GB, CUDA 5.2), no SLI. #1288 led me to believe it should be possible in terms of VRAM requirements (8GB total) and I also have enough RAM (16GB). However, each time I try to run the model the ollama service crashes due to out of ... | {
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https://api.github.com/repos/ollama/ollama/issues/1053 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1053/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1053/comments | https://api.github.com/repos/ollama/ollama/issues/1053/events | https://github.com/ollama/ollama/issues/1053 | 1,985,028,931 | I_kwDOJ0Z1Ps52USND | 1,053 | Requesting support for basic auth or API key authentication | {
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I am experiencing x/llama3.2-vision(11b) using ollama-0.4.0-rc5, but the performance is poor compared to the [official version](https://deepinfra.com/meta-llama/Llama-3.2-11B-Vision-Instruct). What causes this result?
**x/llama3.2-vision:**
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# Bug Report
## Description
If I use any LLava models ([LLava-Phi-3](https://ollama.com/library/llava-phi3)), the custom System prompt ist working fine.
But if I upload an Picture at the start of the Conversation, the System Prompt is not Loading and if I continue the Conversation it s... | null | {
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Many machines (most probably consumer grade intel laptops) still have intel gpus (UHD cards) so will ollama add a support for them?
Or intel gpus are just too hard to be used?
Cause to run those big m... | {
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Before:
<img width="492" alt="Screenshot 2024-06-20 at 9 07 56 AM" src="https://github.com/ollama/ollama/assets/65097070/0c6e8f89-854b-4069-a387-dc191766ee70">
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https://api.github.com/repos/ollama/ollama/issues/4923 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4923/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4923/comments | https://api.github.com/repos/ollama/ollama/issues/4923/events | https://github.com/ollama/ollama/issues/4923 | 2,341,370,158 | I_kwDOJ0Z1Ps6Ljnku | 4,923 | ollama download时下载的server地址是开源的吗？在国内感觉不好拉，想弄个类似的 | {
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https://api.github.com/repos/ollama/ollama/issues/7001 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7001/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7001/comments | https://api.github.com/repos/ollama/ollama/issues/7001/events | https://github.com/ollama/ollama/pull/7001 | 2,552,548,693 | PR_kwDOJ0Z1Ps585s7_ | 7,001 | cli: pull models without starting server, fixes #3369 | {
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} | In this change, I've added a new `-local` flag to the `ollama pull` command.
This enables models to be downloaded to the server directories without first starting the server, as per requests at #3369
This change makes it easier to package models for distribution and deployment.
To make the change, I made `reg... | null | {
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"followers_url": "https://api.gi... | null | 4 | 2024-01-10T13:42:29 | 2024-02-19T19:47:23 | 2024-02-19T19:47:23 | MEMBER | {
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ollama serve
2024/01/10 12:36:43 images.go:808: total blobs: 9
2024/01/10 12:36:43 images.go:815: total unused blobs removed: 0
2024/01/10 12:36:43 routes.go:930: Listening on 127.0.0.1:11434 (version 0.1.19)
2024/01/10 12:36:43 shim_ext_server.go:142: Dynamic LLM variants [cuda rocm]
2024/01/10 12:36:43 gpu.... | {
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https://api.github.com/repos/ollama/ollama/issues/4001 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4001/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4001/comments | https://api.github.com/repos/ollama/ollama/issues/4001/events | https://github.com/ollama/ollama/issues/4001 | 2,267,491,450 | I_kwDOJ0Z1Ps6HJyx6 | 4,001 | CORS configuration error blocking authorization in Ollama's OpenAI compatible endpoint | {
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Related: #3571
Ollama's implementation of an OpenAI-compatible endpoint faces a CORS (Cross-Origin Resource Sharing) configuration issue. The preflight OPTIONS response currently includes the headers
```http
HTTP/1.1 204 No Content
Access-Control-Allow-Headers: Origin,Content-Length,... | {
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https://api.github.com/repos/ollama/ollama/issues/1689 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1689/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1689/comments | https://api.github.com/repos/ollama/ollama/issues/1689/events | https://github.com/ollama/ollama/issues/1689 | 2,054,799,798 | I_kwDOJ0Z1Ps56ecG2 | 1,689 | Documentation suggestion: add small paragraph about quantization in README.md | {
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I suggest to add a small paragraph explaining the effect and why someone should or should not download a quantized version of a model.
I feel like it's a fairly technical subject but it can impact the perceived performance of any kind of user.
I would add it possibly under the Mo... | null | {
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} | null | null | null | This software is automatically install on the default path in my C disk. And all model is download to specific path in C. However, there is limited space in my disk C, can we change the software install location and the model download path? And it is possible to have a gui of this softeware? Hope this can be better one... | {
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But how do i can understand, that model is not sure about particular answer by my promts? While model inferences with Ollama.
I need to understand this to perform post-processing of 'low qu... | {
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JSON Schema is now available as an option (`schema`) in `/api/generate` API. If provided, it will be converted into GBNF grammar and added into the predict request for llama.cpp. Also, make sure to set the `format` t... | {
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I'm trying to secure the connection between ollama client and server.
HTTPS works fine:
Basic auth does not work with ollama client:
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First of all it would be great to be able to load multiple instances of the _same_ model, if I'm not mistaken the model concurrency only works for different models.
Of course loading multiple instances would require a new way of managing ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/8140 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8140/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8140/comments | https://api.github.com/repos/ollama/ollama/issues/8140/events | https://github.com/ollama/ollama/issues/8140 | 2,745,751,318 | I_kwDOJ0Z1Ps6jqNcW | 8,140 | GGML_ASSERT(i01 >= 0 && i01 < ne01) failed and SIGSEGV had occoured | {
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``` text
Dec 18 02:31:29 ksy ollama[2877902]: time=2024-12-18T02:31:29.468+08:00 level=INFO source=.:0 msg="Server listening on 127.0.0.1:45295"
Dec 18 02:31:29 ksy ollama[2877902]: llama_model_loader: loaded meta data with 23 key-value pairs and 197 tensors from /data/ollama/blobs/sha256-3757... | {
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https://api.github.com/repos/ollama/ollama/issues/7887 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7887/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7887/comments | https://api.github.com/repos/ollama/ollama/issues/7887/events | https://github.com/ollama/ollama/issues/7887 | 2,706,513,655 | I_kwDOJ0Z1Ps6hUh73 | 7,887 | Add tests for openai response logic - potentially refactor middleware | {
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https://api.github.com/repos/ollama/ollama/issues/1116 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1116/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1116/comments | https://api.github.com/repos/ollama/ollama/issues/1116/events | https://github.com/ollama/ollama/issues/1116 | 1,991,509,510 | I_kwDOJ0Z1Ps52tAYG | 1,116 | vicuna33b not executing on GPU | {
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Is this a bug or am I misunderstanding something in the documentation or configuration? | {
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https://api.github.com/repos/ollama/ollama/issues/631 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/631/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/631/comments | https://api.github.com/repos/ollama/ollama/issues/631/events | https://github.com/ollama/ollama/pull/631 | 1,917,201,385 | PR_kwDOJ0Z1Ps5bbUoB | 631 | Adding mistral 7B to README.md | {
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https://api.github.com/repos/ollama/ollama/issues/7272 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7272/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7272/comments | https://api.github.com/repos/ollama/ollama/issues/7272/events | https://github.com/ollama/ollama/issues/7272 | 2,599,522,473 | I_kwDOJ0Z1Ps6a8ZCp | 7,272 | multi-part model+safetensors | {
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https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-GGUF/blob/main/qwen2.5-7b-instruct-fp16-00004-of-00004.gguf
qwen2.5-7b-instruct-fp16-00001-of-00004.gguf
qwen2.5-7b-instruct-fp16-00002-of-00004.gguf
qwen2.5-7b-instruct-fp16-00003-of-00004.gguf
qwen2.5-7b-instruct-... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7132 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7132/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7132/comments | https://api.github.com/repos/ollama/ollama/issues/7132/events | https://github.com/ollama/ollama/issues/7132 | 2,572,917,916 | I_kwDOJ0Z1Ps6ZW5yc | 7,132 | Getting Error with OpenAI compatibility | {
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```js
import { NextApiRequest } from 'next';
import { OpenAIStream, StreamingTextResponse } from 'ai';
import OpenAI from 'openai';
const openai = new OpenAI({
baseURL: 'http://localhost:11434/v1',
apiKey: 'ollama', // required but unused
});
export async function POST(re... | null | {
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https://api.github.com/repos/ollama/ollama/issues/5126 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5126/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5126/comments | https://api.github.com/repos/ollama/ollama/issues/5126/events | https://github.com/ollama/ollama/pull/5126 | 2,360,967,020 | PR_kwDOJ0Z1Ps5y4zPl | 5,126 | update message processing | {
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} | this change changes the way messages are processed before handing off to the llm. there are a few areas worth mentioning:
1. messages are now a first class component of the template. template rendering will only falling back to the previous iterative template if messages is unsupported by the template. however, new ... | {
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https://api.github.com/repos/ollama/ollama/issues/8418 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8418/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8418/comments | https://api.github.com/repos/ollama/ollama/issues/8418/events | https://github.com/ollama/ollama/issues/8418 | 2,786,508,663 | I_kwDOJ0Z1Ps6mFr93 | 8,418 | Running OLLAMA_FLASH_ATTENTION=true with LoRA Models Returns: flash_attn is not compatible with LoRA | {
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} | null | null | null | ### What is the issue?
Hello, I use fine tuned LLMs that use LoRA, when activating OLLAMA_FLASH_ATTENTION=true ollama serve the fine tuned models do not work, the error received is:
```
llama_lora_adapter_set: flash_attn is not compatible with LoRA
panic: error applying lora from file
```
This error stops the... | null | {
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https://api.github.com/repos/ollama/ollama/issues/4785 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4785/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4785/comments | https://api.github.com/repos/ollama/ollama/issues/4785/events | https://github.com/ollama/ollama/issues/4785 | 2,329,714,620 | I_kwDOJ0Z1Ps6K3J-8 | 4,785 | ollama save feature | {
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EDIT: It seems like this behavior is independent of the seed choice and the seeds are not working at all?
When freshly start `ollama serve` and send the exact sa... | {
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https://api.github.com/repos/ollama/ollama/issues/7900 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7900/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7900/comments | https://api.github.com/repos/ollama/ollama/issues/7900/events | https://github.com/ollama/ollama/pull/7900 | 2,708,318,412 | PR_kwDOJ0Z1Ps6DpWD2 | 7,900 | Structured Outputs - Chat Endpoint | {
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} | ## Structured outputs
A longtime ask from the community - we now support the passing in of a json schema, translate to grammar and use it for sampling.
## Why not full grammar support
We gave this a ton of thought and there's 3 main points around here:
1. Inherent complexity of grammars - Generating a grammar for... | {
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https://api.github.com/repos/ollama/ollama/issues/4668 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4668/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4668/comments | https://api.github.com/repos/ollama/ollama/issues/4668/events | https://github.com/ollama/ollama/issues/4668 | 2,319,464,602 | I_kwDOJ0Z1Ps6KQDia | 4,668 | Low GPU / High CPU Utilization ==> Slow Performance | {
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} | null | null | null | ### What is the issue?
The Ollama on Ubuntu 22.04 can detect my Cuda GPU, and loads the model to its memory, but the processing seems to be mostly on CPU. Is this a normal behavior? The overall performance is not satisfying, like 1-token-per-second or so ... much slower than a human reading speed.
![Screenshot from ... | {
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https://api.github.com/repos/ollama/ollama/issues/3423 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3423/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3423/comments | https://api.github.com/repos/ollama/ollama/issues/3423/events | https://github.com/ollama/ollama/pull/3423 | 2,216,874,483 | PR_kwDOJ0Z1Ps5rPnyx | 3,423 | Community Integration: CRAG Ollama Chat | {
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Supports:
- Ollama
- OpenAI APIs | {
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https://api.github.com/repos/ollama/ollama/issues/4990 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4990/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4990/comments | https://api.github.com/repos/ollama/ollama/issues/4990/events | https://github.com/ollama/ollama/issues/4990 | 2,347,708,822 | I_kwDOJ0Z1Ps6L7zGW | 4,990 | First value different on CUDA/ROCM when setting `seed` | {
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This seems to be an issue with the kv cache on Nvidia/AMD GPUs. See https://github.com/ggerganov/llama.cpp/issues/2838
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https://api.github.com/repos/ollama/ollama/issues/3291 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3291/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3291/comments | https://api.github.com/repos/ollama/ollama/issues/3291/events | https://github.com/ollama/ollama/pull/3291 | 2,201,696,949 | PR_kwDOJ0Z1Ps5qchzv | 3,291 | Add Testcontainers into Libraries section | {
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https://api.github.com/repos/ollama/ollama/issues/3693 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3693/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3693/comments | https://api.github.com/repos/ollama/ollama/issues/3693/events | https://github.com/ollama/ollama/issues/3693 | 2,247,517,175 | I_kwDOJ0Z1Ps6F9mP3 | 3,693 | Ollama v0.1.32-rocm throws "CUDA error: out of memory" on AMD GPU with model that worked on v0.1.31-rocm | {
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Hi, I've updated the Docker image `ollama/ollama:0.1.31-rocm` to `0.1.32-rocm` and started experiencing `CUDA error: out of memory` on `mixtral:8x7b` (`7708c059a8bb`) model that worked fine on `0.1.31-rocm`!
```js
CUDA error: out of memory
current device: 0, in function alloc at /go/src/g... | {
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