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https://api.github.com/repos/ollama/ollama/issues/4921 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4921/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4921/comments | https://api.github.com/repos/ollama/ollama/issues/4921/events | https://github.com/ollama/ollama/pull/4921 | 2,341,291,530 | PR_kwDOJ0Z1Ps5x1-Vw | 4,921 | update import.md | {
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https://api.github.com/repos/ollama/ollama/issues/7694 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7694/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7694/comments | https://api.github.com/repos/ollama/ollama/issues/7694/events | https://github.com/ollama/ollama/issues/7694 | 2,663,322,698 | I_kwDOJ0Z1Ps6evxRK | 7,694 | When I run Ollama using AMD 6750GRE 12G I get an error - gfx1031 unsupported by official ROCm on windows | {
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After downloading and installing. Requires additional download of compiled Rocblas
Rocblas.dll overwrites the rocblas.dll that comes with the SDK, and puts rocblas.dll in the relative path of the HIP SDK file (if not, please download it yourself), and replaces the library folder (C:\Program Fil... | null | {
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https://api.github.com/repos/ollama/ollama/issues/4066 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4066/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4066/comments | https://api.github.com/repos/ollama/ollama/issues/4066/events | https://github.com/ollama/ollama/issues/4066 | 2,272,615,662 | I_kwDOJ0Z1Ps6HdVzu | 4,066 | Support IPEX-LLM | {
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https://api.github.com/repos/ollama/ollama/issues/1716 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1716/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1716/comments | https://api.github.com/repos/ollama/ollama/issues/1716/events | https://github.com/ollama/ollama/issues/1716 | 2,056,024,732 | I_kwDOJ0Z1Ps56jHKc | 1,716 | is there a way to calculate token size? | {
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Do we need to do that for ollama api? If so, how do I caclulate token size of prompt? | {
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https://api.github.com/repos/ollama/ollama/issues/5497 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5497/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5497/comments | https://api.github.com/repos/ollama/ollama/issues/5497/events | https://github.com/ollama/ollama/pull/5497 | 2,392,736,249 | PR_kwDOJ0Z1Ps50i5kQ | 5,497 | docs: add OpenGPA in Readme Web & Desktop | {
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OpenGPA is a offline-first open-source Enterprise Agentic Application. It has Ollama support and Ollama specific documentation (https://github.com/eschnou/OpenGPA/blob/main/documentation/offline.md). This integration allows for a fully offline experience, which is required in some critical enterprise environm... | {
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https://api.github.com/repos/ollama/ollama/issues/2605 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2605/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2605/comments | https://api.github.com/repos/ollama/ollama/issues/2605/events | https://github.com/ollama/ollama/pull/2605 | 2,143,559,024 | PR_kwDOJ0Z1Ps5nWftO | 2,605 | Basic whitespace detection in JSON mode | {
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} | This stops hanging from infinite whitespace generation by detecting 100 consecutive whitespace tokens and cancelling
Other ideas:
- [ ] Repetition detection β detect the repetition of the same string over and over again
- [ ] Only do this after detecting a full json object
- [ ] Lower whitespace logit bias when... | {
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qwen4b works fine, all other models larger than 4b are gibberish
```
time=2024-09-05T11:35:49.569+08:00 level=INFO source=download.go:175 msg="downloading 8eeb52dfb3bb in 16 291 MB part(s)"
time=2024-09-05T11:37:19.112+08:00 level=INFO source=download.go:370 msg="8eeb52dfb3bb part 0 stalled... | null | {
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https://api.github.com/repos/ollama/ollama/issues/6908 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6908/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6908/comments | https://api.github.com/repos/ollama/ollama/issues/6908/events | https://github.com/ollama/ollama/issues/6908 | 2,540,834,474 | I_kwDOJ0Z1Ps6Xcg6q | 6,908 | How to use embedding models from huggingface hub? | {
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https://api.github.com/repos/ollama/ollama/issues/8640 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8640/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8640/comments | https://api.github.com/repos/ollama/ollama/issues/8640/events | https://github.com/ollama/ollama/issues/8640 | 2,815,870,902 | I_kwDOJ0Z1Ps6n1se2 | 8,640 | Add install location variable to linux | {
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the variable already exists in installer script, so it should be enough to allow overwriting it with custom value. something like:
```
export OLLAMA_INSTALL_DIR="/home/user/ollamainst"
curl -... | null | {
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Image support using mixtral tech. | {
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The command to install docker and run the 13b model worked fine. However
run and subsequently hit hi, only #### is being taken to infinity. | {
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- Directly use a hosted model and foot the bill for the user
- Ask the user to provide their own hosted model API key (π¬)
- Let the user host the app themselves, providing the API key this way
- Connect with a local model provider like Ollama... | null | {
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```
$ ollama run falcon:40b
>>> Translate "hello world" into spanish
Hola mundo
```</s>
What are some other common phrases or topics that users might ask the assis... | {
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} | null | null | null | ### What is the issue?
I was follow the example by https://ollama.com/blog/embedding-models
But, it allways fail when running: response = ollama.embeddings(model='mxbai-embed-large', prompt=d)
I don't no WHY
### OS
Windows
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.3.3 | {
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I'm trying to have the response be a specific type of JSON. It is mentioned in the documentation:
https://github.com/ollama/ollama/blob/main/docs/api.md#request-structured-outputs
```
curl -X POST http://localhost:11434/api/generate -H "Content-Type: application/json" -d '{ ... | {
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Could you please consider adding Pixtral 12b to the available models?
This seems to be a very capable multimodal model.

Thank you
All the best
Miguel | {
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Changes Made:
- Added an endpoint that allows web applications to request using the local Ollama API
- T... | {
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https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v1_0 | {
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https://api.github.com/repos/ollama/ollama/issues/8087 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8087/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8087/comments | https://api.github.com/repos/ollama/ollama/issues/8087/events | https://github.com/ollama/ollama/pull/8087 | 2,738,371,380 | PR_kwDOJ0Z1Ps6FJS__ | 8,087 | Update linux.md | {
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I have 2 GPUs and have set the OLLAMA_NUM_PARALLEL environment variable. When multiple requests come in, I can see the model being loaded on both the GPU memory, but the GPU usage hovers around 40% for both of them. When I see the CPU usage, only 1 thread is being used and hits 100%.
I suspe... | {
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https://api.github.com/repos/ollama/ollama/issues/2409 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2409/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2409/comments | https://api.github.com/repos/ollama/ollama/issues/2409/events | https://github.com/ollama/ollama/issues/2409 | 2,124,900,522 | I_kwDOJ0Z1Ps5-p2iq | 2,409 | ollama serve stuck | {
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ollama serve
time=2024-02-08T11:53:18.991+01:00 level=INFO source=images.go:860 msg="total blobs: 0"
time=2024-02-08T11:53:18.992+01:00 level=INFO source=images.go:867 msg="total unused blobs ... | {
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https://api.github.com/repos/ollama/ollama/issues/7213 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7213/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7213/comments | https://api.github.com/repos/ollama/ollama/issues/7213/events | https://github.com/ollama/ollama/pull/7213 | 2,589,697,272 | PR_kwDOJ0Z1Ps5-uOxO | 7,213 | Update README.md, Linux AMD ROCm area | {
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} | My small contribution for this amazing work here | {
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https://api.github.com/repos/ollama/ollama/issues/1220 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1220/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1220/comments | https://api.github.com/repos/ollama/ollama/issues/1220/events | https://github.com/ollama/ollama/issues/1220 | 2,004,118,332 | I_kwDOJ0Z1Ps53dGs8 | 1,220 | Access ollama output directly on streamlit screen | {
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I am in the process of developing a chatbot application using the RAG (Retrieval-Augmented Generation) technique alongside Ollama and LangChain. Initially, I successfully constructed the application using LangChain and achieved accurate responses displayed on the command-line interface (CLI). Subsequently, I attem... | {
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https://api.github.com/repos/ollama/ollama/issues/6454 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6454/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6454/comments | https://api.github.com/repos/ollama/ollama/issues/6454/events | https://github.com/ollama/ollama/issues/6454 | 2,478,163,938 | I_kwDOJ0Z1Ps6Ttcfi | 6,454 | obtain attention matrices during inference, similar to the output_attentions=True parameter in the transformers package | {
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https://api.github.com/repos/ollama/ollama/issues/34 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/34/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/34/comments | https://api.github.com/repos/ollama/ollama/issues/34/events | https://github.com/ollama/ollama/issues/34 | 1,784,660,042 | I_kwDOJ0Z1Ps5qX8BK | 34 | Feedback: path not added | {
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} | null | null | null | Looks like ```%localappdata%\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\Scripts``` doesn't get added to the path with pip install ollama. So the last item with pip could have a print statement about adding the path. | {
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https://api.github.com/repos/ollama/ollama/issues/5859 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5859/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5859/comments | https://api.github.com/repos/ollama/ollama/issues/5859/events | https://github.com/ollama/ollama/pull/5859 | 2,423,570,266 | PR_kwDOJ0Z1Ps52IRNO | 5,859 | Prevent partial loading on mixed GPU brands | {
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} | In mult-brand GPU setups, if we couldn't fully load the model we would fall through the scheduler and mistakenly try to load across a mix of brands. This makes sure we find the set of GPU(s) that best fit for the partial load.
Fixes #5476 | {
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https://api.github.com/repos/ollama/ollama/issues/7773 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7773/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7773/comments | https://api.github.com/repos/ollama/ollama/issues/7773/events | https://github.com/ollama/ollama/issues/7773 | 2,677,755,298 | I_kwDOJ0Z1Ps6fm02i | 7,773 | Ollama unloads model after ~30 seconds per message with api/chat despite setting keep_alive=-1 and setting OLLAMA_KEEP_ALIVE=-1 in Windows environment variables. | {
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Basically the title. I'm trying to stream responses from a single model periodically using this method:
```
async def generate_text_stream(
self,
messages: list,
agent_messages: list,
system_prompt: str,
user_input: str,
context_length: int = 32000,
temp... | {
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https://api.github.com/repos/ollama/ollama/issues/3381 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3381/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3381/comments | https://api.github.com/repos/ollama/ollama/issues/3381/events | https://github.com/ollama/ollama/issues/3381 | 2,212,235,357 | I_kwDOJ0Z1Ps6D3Ahd | 3,381 | Doesn't Ollama support gguf for embedding models? | {
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https://api.github.com/repos/ollama/ollama/issues/2539 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2539/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2539/comments | https://api.github.com/repos/ollama/ollama/issues/2539/events | https://github.com/ollama/ollama/issues/2539 | 2,138,446,844 | I_kwDOJ0Z1Ps5_dhv8 | 2,539 | Windows Preview v0.1.25 Proxy authentification failed | {
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} | null | null | null | Hello,
I'm stoked about the window preview, thanks!
When pulling a model, I'm receiving proxy authentification error.
How can i either set a manual proxy configuration or add proxy authentification credentials to ollama windows?
Background: Running on windows 10, proxy is pre-setup by company rules. Manually ... | {
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https://api.github.com/repos/ollama/ollama/issues/4218 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4218/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4218/comments | https://api.github.com/repos/ollama/ollama/issues/4218/events | https://github.com/ollama/ollama/pull/4218 | 2,282,045,255 | PR_kwDOJ0Z1Ps5ust1K | 4,218 | Enable concurrency by default | {
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} | This adjusts our default settings to enable multiple models and parallel requests to a single model. Users can still override these by the same env var settings as before. Parallel has a direct impact on num_ctx, which in turn can have a significant impact on small VRAM GPUs so this change also refines the algorithm ... | {
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https://api.github.com/repos/ollama/ollama/issues/8615 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8615/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8615/comments | https://api.github.com/repos/ollama/ollama/issues/8615/events | https://github.com/ollama/ollama/issues/8615 | 2,813,973,065 | I_kwDOJ0Z1Ps6nudJJ | 8,615 | [Enhancement] New Cohere models are not validated in `config.json` | {
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https://api.github.com/repos/ollama/ollama/issues/342 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/342/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/342/comments | https://api.github.com/repos/ollama/ollama/issues/342/events | https://github.com/ollama/ollama/issues/342 | 1,850,000,523 | I_kwDOJ0Z1Ps5uRMSL | 342 | Cleaning the context | {
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AFAIK it is impossible to clean the context when a model is running. Is there plans to implement this function? | {
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https://api.github.com/repos/ollama/ollama/issues/6888 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6888/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6888/comments | https://api.github.com/repos/ollama/ollama/issues/6888/events | https://github.com/ollama/ollama/issues/6888 | 2,537,645,517 | I_kwDOJ0Z1Ps6XQWXN | 6,888 | an unknown error was encountered while running the model | {
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API returns error message which does not tell what is wrong.
Reproduce:
install model llava:13b-v1.5-q4_0
save this file:
[req-data.txt](https://github.com/user-attachments/files/17068575/req-data.txt)
run this command:
```curl -d "`cat req-data.txt`" http://localhost:11434/api/g... | null | {
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When a request is canceled while a model is loading, all other requests are also cancelled
### OS
_No response_
### GPU
_No response_
### CPU
_No response_
### Ollama version
_No response_ | null | {
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https://api.github.com/repos/ollama/ollama/issues/5827 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5827/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5827/comments | https://api.github.com/repos/ollama/ollama/issues/5827/events | https://github.com/ollama/ollama/pull/5827 | 2,421,313,037 | PR_kwDOJ0Z1Ps52AkfG | 5,827 | Added Chrome and Firefox extension link to documentation | {
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When using the OLLAMA_SKIP_CPU_GENERATE=1 flag for compiling the binary, the Ollama binary fails to compile with the error:
```
In file included from gpu_info_nvml.h:4,
from gpu_info_nvml.c:5:
gpu_info_nvml.c: In function βnvml_check_vramβ:
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I keep getting the same error
> ollama run llama3
> pulling manifest
> pulling 00e1317cbf74... 1% β β 28 MB/4.7 GB 61 KB/s 20h58m
> Error: max retries exceeded: Get "https://dd... | null | {
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I was getting an error in this line 'from langchain.llms import Ollama'
The version of langchain was 0.0.236 | {
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I was using ollama v0.1.33 with models from file from llama3:70b-instruct-q4_0 with 23k SYSTEM data
Each prompt was not taking more than 20s (except the initial model load request) on a M1 Ultra 128GB Ram and 48 GPU cores.
I updated today to v0.1.34, using the same generated model, for all req... | {
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https://api.github.com/repos/ollama/ollama/issues/4536 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4536/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4536/comments | https://api.github.com/repos/ollama/ollama/issues/4536/events | https://github.com/ollama/ollama/pull/4536 | 2,305,906,153 | PR_kwDOJ0Z1Ps5v9H9P | 4,536 | chore: fix typo in docs | {
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https://api.github.com/repos/ollama/ollama/issues/3883 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3883/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3883/comments | https://api.github.com/repos/ollama/ollama/issues/3883/events | https://github.com/ollama/ollama/issues/3883 | 2,261,740,761 | I_kwDOJ0Z1Ps6Gz2zZ | 3,883 | Support for Snowflake Arctic | {
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https://huggingface.co/Snowflake/snowflake-arctic-instruct
https://huggingface.co/Snowflake/snowflake-arctic-base | null | {
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https://api.github.com/repos/ollama/ollama/issues/8595 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8595/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8595/comments | https://api.github.com/repos/ollama/ollama/issues/8595/events | https://github.com/ollama/ollama/issues/8595 | 2,811,649,642 | I_kwDOJ0Z1Ps6nll5q | 8,595 | Train Ollama models using custom data | {
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https://api.github.com/repos/ollama/ollama/issues/6341 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6341/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6341/comments | https://api.github.com/repos/ollama/ollama/issues/6341/events | https://github.com/ollama/ollama/issues/6341 | 2,463,827,701 | I_kwDOJ0Z1Ps6S2wb1 | 6,341 | Llama 3.1 70B high-quality HQQ quantized model - 99%+ quality of fp16 | {
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} | null | null | null | I'm not really sure if that's possible but adding that to ollama could really impact the performance on 4-bit quant option:
99%+ in all benchmarks in lm-eval relative performance to FP16 and similar inference speed to fp16
url:
https://huggingface.co/mobiuslabsgmbh/Llama-3.1-70b-instruct_4bitgs64_hqq
<img wi... | null | {
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after waiting all day for the model to download, `ollama run deepseek-r1:671b` fails to run with the error `Error: llama runner process has terminated: signal: killed`.
I can run the deepseek-r1:70b llama model just fine.
I'm running a Macbook M3 Pro 64GB ram, I'm assuming it's failing due to ... | null | {
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This is the first time I am facing such an issue, I cannot run the container at all, it crashes right when it is deployed.
I don't know which information should be useful to debug that issue, my host is a debian 12 server with docker 25 ce
I was first deploying using a compose file but I switched back to... | {
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<img width="441" alt="image" src="https://github.com/jmorganca/ollama/assets/135211326/9340deb3-9e56-4d18-8985-51f2f3b7fe42">
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Introduction
InternLM2.5 has open-sourced a 7 billion parameter base model and a chat model tailored for practical scenarios. The model has the following characteristics:
Outstanding reasoning capability: St... | {
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https://api.github.com/repos/ollama/ollama/issues/7932 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7932/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7932/comments | https://api.github.com/repos/ollama/ollama/issues/7932/events | https://github.com/ollama/ollama/pull/7932 | 2,718,376,460 | PR_kwDOJ0Z1Ps6EEvme | 7,932 | fix unmarshaling merges | {
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Can we talk about how to fix this?
### OS
Linux
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.5.7 | null | {
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ollama run mistral:text
pulling manifest
Error: Head "https://dd20bb891979d25aebc8bec07b2b3bbc.r2.cloudflarestorage.com/ollama/docker/registry/v2/blobs/sha256/5b/5b5c2a563a287aa9bf9be7499fe7e0630add02089be3f50ee494087f67683fbb/data?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=66040c77ac... | {
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When I first installed the ollama, I didn't see the welcoming window pops up, just a windows notification by it says "click here to start"
Clicking that notification gives me a powershell window as shown
and when I tried to run the command to get started it gives me the error below
pull... | {
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https://snapcraft.io/
* Simplified installation: They eliminate the need to manually resolve dependency issues, making software installation easier for users.
* Isolation: They isolate applications from the s... | null | {
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I' ve built Ollama from source to run with CUDA but unfortunately it doesn't start any more, I think since version 0.3.10 it's the same error. Before 0.3.10 everything was fine I was able to build ollama with CUDA and run any model, but now even smallest model 1b is crashing
I have the same ... | {
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https://api.github.com/repos/ollama/ollama/issues/7040 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7040/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7040/comments | https://api.github.com/repos/ollama/ollama/issues/7040/events | https://github.com/ollama/ollama/issues/7040 | 2,555,760,452 | I_kwDOJ0Z1Ps6YVc9E | 7,040 | llama 3.2 | {
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https://api.github.com/repos/ollama/ollama/issues/8246 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8246/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8246/comments | https://api.github.com/repos/ollama/ollama/issues/8246/events | https://github.com/ollama/ollama/issues/8246 | 2,759,431,080 | I_kwDOJ0Z1Ps6keZOo | 8,246 | Significant Performance Differences of ARM64 Installation Package Across Different CPU Architectures | {
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When using an ARM64 installation package for a large language model with 1.5B parameters, we have observed significant differences in performance across different CPU architectures. Specifically, on the MediaTek Dimensity 8100 processor, the inference speed is very fast, capable of processing ... | {
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https://api.github.com/repos/ollama/ollama/issues/3890 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3890/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3890/comments | https://api.github.com/repos/ollama/ollama/issues/3890/events | https://github.com/ollama/ollama/issues/3890 | 2,262,142,683 | I_kwDOJ0Z1Ps6G1Y7b | 3,890 | settings>chat hanging when selected | {
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settings>chat link makes the whole ui hang and needs page refresh.
command used to host image.
```powershell script
docker run -d -p 3000:8081 -e OLLAMA_BASE_URL=http://host.docker.internal:11434 -e PORT=8081 -e MODEL_FILTER_ENABLED=True -e MODEL_FILTER_LIST="mistral:latest;llava:latest... | {
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https://api.github.com/repos/ollama/ollama/issues/3691 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3691/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3691/comments | https://api.github.com/repos/ollama/ollama/issues/3691/events | https://github.com/ollama/ollama/issues/3691 | 2,247,350,100 | I_kwDOJ0Z1Ps6F89dU | 3,691 | why wizard 8*22b run on CPU? | {
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<img width="1148" alt="ζͺε±2024-04-17 12 23 02" src="https://github.com/ollama/ollama/assets/146583103/4121905b-51b5-4435-a323-ea773e2015a8">
as shown in the picture. it run on CPU.
my laptop is Mac m3 max 128GB. LM Studio can not run wizardlm-2-8*22b-Q8, it will OOM.
but ollama can run i... | {
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https://api.github.com/repos/ollama/ollama/issues/4007 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4007/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4007/comments | https://api.github.com/repos/ollama/ollama/issues/4007/events | https://github.com/ollama/ollama/pull/4007 | 2,267,682,586 | PR_kwDOJ0Z1Ps5t8PQB | 4,007 | Fix typos in README.md | {
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} | - There was a lagging comma instead of a dot
- Some other minor changes | {
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} | null | null | null | Hi how to produce Embeddings model file? The example from GitHub doesnβt mention Embeddings
https://github.com/ollama/ollama/blob/main/docs/modelfile.md
For example for these popular leading models?
https://huggingface.co/GritLM/GritLM-7B
https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct
Leaderboar... | null | {
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} | Hi @jmorganca, thank you so much for your efforts in building and constantly updating such a cool piece of software.
I really like Ollama and have been experimenting with it regularly. I also plan to integrate it into many more Java applications.
I noticed there isn't a Java library listed under community integrati... | {
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} | This makes sure we statically link the c++ and thread library on windows to avoid unnecessary runtime dependencies on non-standard DLLs
On my dev box, I have these `libpthread.dll.a` libraries and my local builds were leaking the dependency
e.g.:
```
> gci -path C:\msys64\ -r -fi 'libpthread.dll.a'
Dir... | {
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my GPUS info: 6 numbers of A10, but when i run ollama (qwen:32b),it works oom. and i see only a gpu works, others can't use. this is the logs. please help me this issue, thanks.
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
llama_model_loader... | {
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} | Even though we weren't setting it to on, somewhere in the cmake config it was getting toggled on. By explicitly setting it to off, we get `/arch:AVX` as intended.
fixes #2527 | {
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} | This is a simple PR which allows the `format=json` constraint to generate any valid JSON, not just JSON with an object at the top level. This allows models to generate arrays, strings, numbers, or literals without an object wrapper around them, reducing the number of tokens necessary for many use cases.
Remember th... | {
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} | Resolves https://github.com/ollama/ollama/issues/3144
This pull request is to add /metrics endpoint and http metrics as a starting point.
It uses otel metrics libary and exposes metrics in prometheus format.
This PR does not try to cover all metrics to keep it simple. If this looks good. I could add few more th... | null | {
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https://github.com/OpenBMB/ollama | {
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} | - return descriptive error messages when unauthorized to create blob or push a model
- display the local public key associated with the request that was denied | {
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Follow the manual: https://github.com/ollama/ollama/blob/9df6c85c3a51ce00d6a65be9dd8a06af07b24af5/docs/tutorials/nvidia-jetson.md
But run error:
```bash
ollama run mistral-jetson
```
Errors
```bash
Error: llama runner process no longer running: -1 CUDA error: CUBLAS_STATUS_EXECUTION_F... | {
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https://api.github.com/repos/ollama/ollama/issues/1902 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1902/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1902/comments | https://api.github.com/repos/ollama/ollama/issues/1902/events | https://github.com/ollama/ollama/issues/1902 | 2,074,744,059 | I_kwDOJ0Z1Ps57qhT7 | 1,902 | Extremely slow memory allocation in WSL2 container | {
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When trying to run ollama inside a container, memory allocation is extremely slow, something like 50 MB/s max. When in chat with the model, the container releases memory after some time if idle and if I run a prompt, it allocates it all over again.
# Steps to reproduce
1. Run the command `podman run ... | {
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Running some tests using pytest with the following 6 models. What I find is that if I run all tests with each model before go on to the next model, the tests mostly worked fine. 123/126 passed. But if I run each test against all 6 models sequentially and then go to the next test then I see han... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7996 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7996/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7996/comments | https://api.github.com/repos/ollama/ollama/issues/7996/events | https://github.com/ollama/ollama/issues/7996 | 2,724,965,068 | I_kwDOJ0Z1Ps6ia6rM | 7,996 | Less available memory than expected | {
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} | null | null | null | ### What is the issue?
I'm using a 4060 laptop GPU, which has 8GB of memory. However, from the log, it showed that
`library=cuda variant=v12 compute=8.9 driver=12.7 name="NVIDIA GeForce RTX 4060 Laptop GPU" total="8.0 GiB" available="6.9 GiB"`
That's quite strange for from `nvidia-smi`
![image](https://github.com/u... | {
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https://api.github.com/repos/ollama/ollama/issues/1959 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1959/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1959/comments | https://api.github.com/repos/ollama/ollama/issues/1959/events | https://github.com/ollama/ollama/pull/1959 | 2,079,489,803 | PR_kwDOJ0Z1Ps5j9ckG | 1,959 | Add ollama sync command | {
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} | I frequently need to pull the latest version of models I've already downloaded.
Taking inspiration the comments and suggestions in https://github.com/jmorganca/ollama/issues/1890, I've implemented a basic `sync` command to streamline this process.
```bash
ollama sync
``` | {
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https://api.github.com/repos/ollama/ollama/issues/1945 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1945/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1945/comments | https://api.github.com/repos/ollama/ollama/issues/1945/events | https://github.com/ollama/ollama/issues/1945 | 2,078,206,380 | I_kwDOJ0Z1Ps573ums | 1,945 | Donation | {
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} | null | null | null | Hi there!
I really, REALLY love the product. Ollama made LLM usage as simple as docker years ago did for containers.
Maybe it's time for donation button? Can't promise much, but at least I can show my appreciation. | {
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https://api.github.com/repos/ollama/ollama/issues/2597 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2597/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2597/comments | https://api.github.com/repos/ollama/ollama/issues/2597/events | https://github.com/ollama/ollama/issues/2597 | 2,142,884,059 | I_kwDOJ0Z1Ps5_udDb | 2,597 | Suggestion - Custom Model Actions | {
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} | null | null | null | # Providing an LLM with actions!
- Putting it simply just giving an LLM the power to have actions it can use which the developer programs themselves.
### The request:
- The request that is sent & provides the LLM with the knowledge of it having actions it can use.
```shell
curl http://localhost:11434/api/generat... | {
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