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`Error: llama runner process has terminated: signal: segmentation fault (core dumped)`. It occurs while loading larger models, that are still within the VRAM capacity. Here I'm trying to load `command-r:35b-08-2024-q4_K_M` (**19GB**), on an RX 7900 XTX with **24GB** of VRAM. Smaller models loa... | {
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I'm trying to install ollama on an offline Ubuntu computer, Due to the lack of an internet connection, I need guidance on how to perform this installation offline. Additionally, I would like to understand how to download and utilize models on this offline Ubuntu machine.
Here are the specific questions and... | {
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Thanks! | {
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} | many of the files needed during conversion don't need to be extracted and can be read directly from the zip. the only exception are the model weights. while it's possible to read these directly from the zip, the impact on performance is unacceptable (2m30s vs. 30s for gemma 2b). for these files, extract them when neede... | {
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https://api.github.com/repos/ollama/ollama/issues/4192 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4192/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4192/comments | https://api.github.com/repos/ollama/ollama/issues/4192/events | https://github.com/ollama/ollama/pull/4192 | 2,279,925,563 | PR_kwDOJ0Z1Ps5ulis0 | 4,192 | feat: support registry basic auth | {
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relates: https://github.com/ollama/ollama/issues/2745 | {
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Uploaded the model 8 hours ago, deleted it just now. It shows last updated 12 days ago.
### OS
_No response_
### GPU
_No response_
### CPU
_No response_
### Ollama version
_No response_ | {
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Would you consider making Embedding's interface routing also compatible with OpenAI's format, so that it will be more user-friendly when called by third-party applications? Otherwise, we need to focus on
```
http://host/v1/embeddin... | {
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https://api.github.com/repos/ollama/ollama/issues/2451 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2451/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2451/comments | https://api.github.com/repos/ollama/ollama/issues/2451/events | https://github.com/ollama/ollama/issues/2451 | 2,129,162,086 | I_kwDOJ0Z1Ps5-6G9m | 2,451 | [FEATURE] Add support for Intel Xeon (Sapphire and Emerald Rapids) accelerators and AI features such as AMX and AVX 512. | {
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AVX512
https://www.intel.com/content/www/us/en/architecture-and-technology/avx-512-overview.html
AMX
https://www.intel.com/content/www/us/en/products/docs/accelerator-engines/advanced-matrix-extensions/overview.html
... | {
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I get the following error:
{"error":"POST predict: Post \"http://127.0.0.1:33603/completion\": EOF"}
this seems to be happening on longer context lengths.
I think I can circumvent this using options["use_mlock"] = false; at the cost of roughly 4x or more speed loss
It seems like the gpu ... | {
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https://api.github.com/repos/ollama/ollama/issues/3867 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3867/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3867/comments | https://api.github.com/repos/ollama/ollama/issues/3867/events | https://github.com/ollama/ollama/issues/3867 | 2,260,317,111 | I_kwDOJ0Z1Ps6GubO3 | 3,867 | Ctrl+D to exit is not stopping service | {
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I have observed that when we Cntrl+D or exit the chat interface when we run a model it is not stopping the ollama process. This inturn is blocking RAM and VRAM for other tasks. I observed this behavior in wsl and windows versions of ollama.
### OS
Windows, WSL2
### GPU
Nvidia
### CPU
Inte... | {
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} | - remove new lines from llama.cpp error messages relayed to client
- check api option types and return error on wrong type
- change num layers from 95% VRAM to 92% VRAM | {
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https://api.github.com/repos/ollama/ollama/issues/234 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/234/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/234/comments | https://api.github.com/repos/ollama/ollama/issues/234/events | https://github.com/ollama/ollama/pull/234 | 1,826,927,325 | PR_kwDOJ0Z1Ps5WroYw | 234 | use max scan token size to hold large objects | {
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} | The internal buffer used by scanner is too small to hold Meta's license so allocate the maximum size set in bufio. It can be potentially higher but it's not necessary right now | {
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https://api.github.com/repos/ollama/ollama/issues/3504 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3504/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3504/comments | https://api.github.com/repos/ollama/ollama/issues/3504/events | https://github.com/ollama/ollama/issues/3504 | 2,228,152,315 | I_kwDOJ0Z1Ps6Ezuf7 | 3,504 | I can't pull any models | {
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C:\Users\18164>ollama run qwen:0.5b
pulling manifest
Error: pull model manifest: Get "https://ollama.com/token?nonce=pa9U-g8eXWKfTiK3NN_FdQ&scope=repository%!A(MISSING)library%!F(MISSING)qwen%!A(MISSING)pull&service=ollama.com&ts=1712324131": net/http: TLS handshake timeout
### What did you e... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7756 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7756/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7756/comments | https://api.github.com/repos/ollama/ollama/issues/7756/events | https://github.com/ollama/ollama/pull/7756 | 2,674,410,211 | PR_kwDOJ0Z1Ps6CeV0j | 7,756 | Update README.md | {
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https://api.github.com/repos/ollama/ollama/issues/1744 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1744/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1744/comments | https://api.github.com/repos/ollama/ollama/issues/1744/events | https://github.com/ollama/ollama/issues/1744 | 2,060,803,482 | I_kwDOJ0Z1Ps561V2a | 1,744 | 💡 Idea/Suggestion: Rich API Documentation | {
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First of all, thank you for your amazing work! 🤩 I have been using Ollama for a while now and I'm really enjoying it.
I was wondering if we could introduce a API documentation website (right from GitHub using GH Pages). Along with this we could also have a GitHub action workflow setup to auto-b... | null | {
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https://api.github.com/repos/ollama/ollama/issues/6538 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6538/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6538/comments | https://api.github.com/repos/ollama/ollama/issues/6538/events | https://github.com/ollama/ollama/pull/6538 | 2,490,608,317 | PR_kwDOJ0Z1Ps55ox0g | 6,538 | throw an error when encountering unsupport tensor sizes | {
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} | The `bitsandbytes` package creates an 8 bit quantized version of a model which is unsupported by the llama.cpp back end. It does this by creating two tensors for each of the layers which look like:
```
model.layers.0.mlp.down_proj.weight dtype=I8 shape=[4096, 14336]
model.layers.0.mlp.down_proj.weight_format dtype... | {
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"node_id": "LA_kwDOJ0Z1Ps8AAAABjgZQ_g... | closed | false | null | [] | null | 3 | 2024-05-03T03:42:57 | 2024-05-04T21:23:14 | 2024-05-03T04:15:07 | NONE | {
"total": 0,
"completed": 0,
"percent_completed": 0
} | null | null | null | ### What is the issue?
After upgrading to [v0.1.33](https://github.com/ollama/ollama/releases/tag/v0.1.33), Ollama no longer using my GPU, CPU will be used instead.
On the same PC, I tried to run 0.1.33 and older 0.1.32 side by side, 0.1.32 can run on GPU just fine while 0.1.33 is not.
After investigating the lo... | {
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https://api.github.com/repos/ollama/ollama/issues/233 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/233/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/233/comments | https://api.github.com/repos/ollama/ollama/issues/233/events | https://github.com/ollama/ollama/issues/233 | 1,825,401,154 | I_kwDOJ0Z1Ps5szWlC | 233 | Descriptions for 3rd Party Imports | {
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} | null | null | null | Just wanted to share that it would be nice to have in the docs a list of the imported 3rd party libraries for transparency - Really just for the smaller obscure ones. One of them threw me down a rabbit hole looking over their code as it was a small repo with not much activity. Just a suggestion. | {
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https://api.github.com/repos/ollama/ollama/issues/4446 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4446/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4446/comments | https://api.github.com/repos/ollama/ollama/issues/4446/events | https://github.com/ollama/ollama/issues/4446 | 2,297,222,153 | I_kwDOJ0Z1Ps6I7NQJ | 4,446 | JSON Mode + Streaming + OpenAI API + Llama3 = never sends STOP, and a lot of whitespace after the JSON | {
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"total": 0,
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} | null | null | null | ### What is the issue?
without JSON Mode the last few lines of the stream of Chunk objects is:
```
...
data: {"id":"chatcmpl-273","object":"chat.completion.chunk","created":1715761661,"model":"llama3","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" adventures"},"fini... | {
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https://api.github.com/repos/ollama/ollama/issues/3851 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3851/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3851/comments | https://api.github.com/repos/ollama/ollama/issues/3851/events | https://github.com/ollama/ollama/issues/3851 | 2,259,624,265 | I_kwDOJ0Z1Ps6GryFJ | 3,851 | Why Ollama is so terribly slow when I set format="json" | {
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"total": 0,
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} | null | null | null | ### What is the issue?
This is a duplicate of #3154, which was closed, I'm assuming, by mistake.
The performance of the `format="json"` param is 10x slower than regular inference when additional context is included
A prompt like this takes ~24s to return on an NVIDIA T4 with CUDA enabled and ` format="json"`. The... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7540 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7540/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7540/comments | https://api.github.com/repos/ollama/ollama/issues/7540/events | https://github.com/ollama/ollama/issues/7540 | 2,639,909,948 | I_kwDOJ0Z1Ps6dWdQ8 | 7,540 | ollama blocking itself from binding port it's already using...? | {
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"node_id": "LA_kwDOJ0Z1Ps8AAAABjg... | closed | false | null | [] | null | 1 | 2024-11-07T05:24:49 | 2024-12-02T15:19:58 | 2024-12-02T15:19:58 | NONE | {
"total": 0,
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} | null | null | null | ### What is the issue?
I've just been going through the current instructions, and this is a really weird error to get after seeing all the "Pulled" messages:
$ sudo docker compose --profile gpu-nvidia up
[+] Running 38/38
... Pulled etc ... 0.0s
Atta... | {
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https://api.github.com/repos/ollama/ollama/issues/7840 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7840/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7840/comments | https://api.github.com/repos/ollama/ollama/issues/7840/events | https://github.com/ollama/ollama/issues/7840 | 2,694,079,352 | I_kwDOJ0Z1Ps6glGN4 | 7,840 | Please add a way to view the request after a template is applied | {
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} | null | null | null | Would be nice to view raw requests passing between ollama and model. This would be useful to debug templates (for example to debug requests with tools) and for education purposes to see how things works low level. | {
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https://api.github.com/repos/ollama/ollama/issues/4344 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4344/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4344/comments | https://api.github.com/repos/ollama/ollama/issues/4344/events | https://github.com/ollama/ollama/issues/4344 | 2,290,692,929 | I_kwDOJ0Z1Ps6IiTNB | 4,344 | failed to run llama3 on macos | {
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"total": 0,
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} | null | null | null | ### What is the issue?
`ollama run llama3
pulling manifest
pulling 00e1317cbf74... 100% ▕██████████████████████████████████████████████████████████▏ 4.7 GB
pulling 4fa551d4f938... 100% ▕██████████████████████████████████████████████████████████▏ 12 KB
pulling 8ab4849b038c... 100% ▕████████████████████████████████... | {
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https://api.github.com/repos/ollama/ollama/issues/4447 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4447/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4447/comments | https://api.github.com/repos/ollama/ollama/issues/4447/events | https://github.com/ollama/ollama/issues/4447 | 2,297,232,264 | I_kwDOJ0Z1Ps6I7PuI | 4,447 | NumCtx can't change, just 2048 | {
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"total": 0,
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} | null | null | null | ### What is the issue?
When using the LLaMA 3 model with OpenAI’s /v1/chat/completions API, it was discovered that the request message can’t exceed 2k tokens, while the LLaMA 3 8B model inherently supports up to 8K tokens.
Upon examining the code, it was found that in api/types.go at line 475, DefaultOptions conta... | {
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https://api.github.com/repos/ollama/ollama/issues/450 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/450/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/450/comments | https://api.github.com/repos/ollama/ollama/issues/450/events | https://github.com/ollama/ollama/pull/450 | 1,877,579,278 | PR_kwDOJ0Z1Ps5ZWP5q | 450 | update readme | {
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https://api.github.com/repos/ollama/ollama/issues/6221 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6221/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6221/comments | https://api.github.com/repos/ollama/ollama/issues/6221/events | https://github.com/ollama/ollama/issues/6221 | 2,452,290,027 | I_kwDOJ0Z1Ps6SKvnr | 6,221 | Mistake tools calls +-every user prompt. | {
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"total": 0,
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Model: `llama3.1:8b`
TOOLS:
```json
[
{
"type": "function",
"function": {
"name": "base64DecodeTool",
"description": "Tool to decode base64 string.",
"parameters": {
"type": "object",
"properties": {
"str": {
"type"... | null | {
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The partially downloaded model is not visible through 'ollama list' after canceling the download and therefore cannot be removed using 'ollama rm <model>'.
At the moment users ha... | {
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} | This PR updates [actions/setup-go](https://github.com/actions/setup-go/releases/tag/v5.0.0) ~~and tests with go 1.21~~
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I downloaded the meta-llama-3.1-8b model from huggingface. [https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct]
And I installed ollama-linux-amd64 (version==0.3.6) manually.
When I start the service with `ollama serve &`, it seems nothing goes wrong.
But after I build a Mod... | {
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} | Helpful target to ensure all vendored files are fresh
Since the sync target uses file timestamps, if you jump back and forth between different upstream commits it can get confused and fail to sync the "new" content since timestamps are older. This gives a quick way to reset all the vendored files to avoid potential... | {
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https://api.github.com/repos/ollama/ollama/issues/6445 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6445/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6445/comments | https://api.github.com/repos/ollama/ollama/issues/6445/events | https://github.com/ollama/ollama/pull/6445 | 2,476,001,382 | PR_kwDOJ0Z1Ps544Ie5 | 6,445 | Update manual instructions with discrete ROCm bundle | {
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} | This adds 2 new variants for the arm64 build to support nvidia jetson systems based on jetpack 5 and 6. Jetpack 4 is too old to be built with our toolchain (the older cuda requires an old gcc which can't build llama.cpp) and will remain unsupported.
The sbsa discrete GPU cuda libraries we bundle in the existing arm6... | {
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- Added ConfiChat to Community Integration > Mobile | {
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`export OLLAMA_HOST="127.0.0.1:3336"; ollama create tagger -f tagger_Modelfile && ollama run tagger`
Running the below does NOT produce the same result as in the terminal cli in the above command.
```
curl http://localhost:3336/api/generate -d '{
"model": "tagger",
"prompt": "hello"... | {
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https://api.github.com/repos/ollama/ollama/issues/2728 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2728/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2728/comments | https://api.github.com/repos/ollama/ollama/issues/2728/events | https://github.com/ollama/ollama/pull/2728 | 2,152,283,257 | PR_kwDOJ0Z1Ps5n0ZrB | 2,728 | feat: implement OpenAI model listing | {
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https://api.github.com/repos/ollama/ollama/issues/897 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/897/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/897/comments | https://api.github.com/repos/ollama/ollama/issues/897/events | https://github.com/ollama/ollama/pull/897 | 1,960,140,405 | PR_kwDOJ0Z1Ps5dr_NY | 897 | allow for a configurable ollama model storage directory | {
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} | - set `OLLAMA_MODELS` in the environment that ollama is running in to change where models are stored
- update docs
```bash
$ OLLAMA_MODELS=/Users/bruce/ollama_models ollama serve
# store models in /Users/bruce/ollama_models
```
Resolves ~#228~ #153
I'll hold off on merging this until #847 is in to avoid ca... | {
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https://api.github.com/repos/ollama/ollama/issues/2591 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2591/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2591/comments | https://api.github.com/repos/ollama/ollama/issues/2591/events | https://github.com/ollama/ollama/issues/2591 | 2,142,264,088 | I_kwDOJ0Z1Ps5_sFsY | 2,591 | Failure after download via curl | {
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"html_url": "https://github.com/krenax",
"followers_url": "https://api.github.com/users/krenax/follower... | [] | closed | false | null | [] | null | 1 | 2024-02-19T12:30:36 | 2024-02-19T13:40:13 | 2024-02-19T13:40:12 | NONE | {
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```
Warning: Failed to open the file /tmp/tmp.T4lmv4bro6/ollama: No such file or
Warning: directory
curl: (23) Failure writing output to destination
``` | {
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https://api.github.com/repos/ollama/ollama/issues/5705 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5705/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5705/comments | https://api.github.com/repos/ollama/ollama/issues/5705/events | https://github.com/ollama/ollama/pull/5705 | 2,409,155,752 | PR_kwDOJ0Z1Ps51aNFf | 5,705 | Enable windows error dialog for subprocess | {
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} | Make sure if something goes wrong spawning the process, the user gets
enough info to be able to try to self correct, or at least file a bug
with details so we can fix it. Once the process starts, we immediately
change back to the recommended setting to prevent the blocking dialog.
This ensures if the model fails t... | {
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https://api.github.com/repos/ollama/ollama/issues/4620 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4620/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4620/comments | https://api.github.com/repos/ollama/ollama/issues/4620/events | https://github.com/ollama/ollama/issues/4620 | 2,316,133,442 | I_kwDOJ0Z1Ps6KDWRC | 4,620 | Llava 1.6 34B fp16: refuses to answer questions on forms or hallucinates, when official Llava 1.6 34B demo does answer them perfectly | {
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Hey all,
I am using https://ollama.com/library/llava:34b-v1.6-fp16.
When asking questions about data in a form (see attached, it is a public sample), the model refuses to answer them or it hallucinates.
```
ollama run llava:34b-v1.6-fp16
>>> How is the ending balance? ./demo.png
Added ... | null | {
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We have a Dell XE8545 server with 4 * A100 GPU cards. When we are running "ollama run mixtral", it was fine but few minutes later, it's halt. I got multiple errors from the log:
1. ggml-cuda.cu: "8792: !" CUDA error
2. ollama.service: State 'stop-sigterm' timed out. Killing.
I tried to kill ollama process... | {
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```
ollama/ollama latest e458178cf2c1 2 weeks ago 4.87GB
```
Are there any ways to reduce the size to as small as possible, since I don't need care of GPU, CUBA driver, etc | {
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https://api.github.com/repos/ollama/ollama/issues/37 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/37/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/37/comments | https://api.github.com/repos/ollama/ollama/issues/37/events | https://github.com/ollama/ollama/pull/37 | 1,790,053,259 | PR_kwDOJ0Z1Ps5UuxHc | 37 | upgrade fuzzy search library | {
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use process.extract to produce a list of fuzzy matches instead of process.extractOne | {
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https://api.github.com/repos/ollama/ollama/issues/1469 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1469/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1469/comments | https://api.github.com/repos/ollama/ollama/issues/1469/events | https://github.com/ollama/ollama/pull/1469 | 2,036,192,736 | PR_kwDOJ0Z1Ps5htcUp | 1,469 | remove per-model types | {
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### What is the issue?
The streamed chat-completion response from ollama's openai-compatible API does not populate the `.choices[].delta.tool_calls[].index` field. This is different to OpenAI's API where this is populated on all tool call chunks and enumerates the tool calls. This breaks comp... | {
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https://api.github.com/repos/ollama/ollama/issues/1728 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1728/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1728/comments | https://api.github.com/repos/ollama/ollama/issues/1728/events | https://github.com/ollama/ollama/issues/1728 | 2,057,323,728 | I_kwDOJ0Z1Ps56oETQ | 1,728 | Streaming multiple json objects at the same time | {
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Here's an example of one single streamed json response using the /generate endpoint
```json
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As I served my VL models, It can not work correctly.
Here. I tried the Minicpm-llama3-V-2.5, and convert it to GGUF format under the instruction from the official repository: https://github.com/OpenBMB/llama.cpp/blob/minicpm-v2.5/examples/minicpmv/README.md.
Then I use the service from open-w... | {
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I try to use bge-reranker-v2-m3、mxbai-rerank-large-v1，model.safetensors format，
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I ran the installation command described in the README:
`curl https://ollama.ai/install.sh | sh`
on NixOS.
However, the binaries and systemd service are not installed correctly. Is it possible to install this on a read-only file system? Or, can we install this in a local directory rather than /usr/bin?
T... | {
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} | null | null | null | ### What is the issue?
Your branch is up to date with 'origin/minicpm-v2.5'.
Already on 'minicpm-v2.5'
Submodule path '../llama.cpp': checked out 'd8974b8ea61e1268a4cad27f4f6e2cde3c5d1370'
Checking for MinGW...
CommandType Name Version Source ... | {
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...and it would be cool if you can add it to the list of web apps in the readme.
More info on the 'why' is here: https://greenido.wordpress.com/2024/04/08/the-power-of-many-why-you-should-consider-using-multiple-large-language-mo... | {
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I have a question regarding the performance impact and potential optimizations for distributing a large model across multiple GPUs. Specifically:
When running a 70B parameter model, how does the speed compare when distributed across two A100 GPUs versus four A100 GPUs?
In general, does adding more GPUs co... | {
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https://api.github.com/repos/ollama/ollama/issues/2738 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2738/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2738/comments | https://api.github.com/repos/ollama/ollama/issues/2738/events | https://github.com/ollama/ollama/pull/2738 | 2,152,584,894 | PR_kwDOJ0Z1Ps5n1S0_ | 2,738 | Update routes.go | {
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https://api.github.com/repos/ollama/ollama/issues/5766 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5766/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5766/comments | https://api.github.com/repos/ollama/ollama/issues/5766/events | https://github.com/ollama/ollama/issues/5766 | 2,415,886,028 | I_kwDOJ0Z1Ps6P_37M | 5,766 | specify a single GPU （id=1）using Docker, Error! | {
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I have 8 gpus, i want to specify the id=1's gpu in a docker,
`docker run -it ... --device=/dev/dri/card1 --device=/dev/dri/renderD129 ....`
Error occured!
when i set `HIP_VISIBLE_DEVICES=1`
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I download the latest version from https://ollama.com/download and install, but cannot download llama3.2 in setting the model download - vision: 11 b, and suggest to update the ollama, but I have is the latest version, how do I solve
### OS
Windows
### GPU
Nvidia
### CPU
Intel
### Ollama ... | {
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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](mailto:iconTemplate@2x.png) -- 0.87kb -> 0.84kb (3.82%)
/macapp/assets/[iconUpdateTemplate@2x.png](mailto:... | {
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https://api.github.com/repos/ollama/ollama/issues/7260 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7260/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7260/comments | https://api.github.com/repos/ollama/ollama/issues/7260/events | https://github.com/ollama/ollama/issues/7260 | 2,598,220,850 | I_kwDOJ0Z1Ps6a3bQy | 7,260 | Migrate off centos 7 for intermediate build layers in container image builds | {
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[Centos is dead](https://endoflife.date/centos), long live [centos stream (9)](https://endoflife.date/centos-stream)
Ollama should probably not be using centos 7 now that it is unsupported and at EOL.
# Why
AMD and Nvidia are no longer publishing updates to their centos 7 flavor of dependencies.
S... | null | {
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https://api.github.com/repos/ollama/ollama/issues/5338 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5338/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5338/comments | https://api.github.com/repos/ollama/ollama/issues/5338/events | https://github.com/ollama/ollama/issues/5338 | 2,378,857,221 | I_kwDOJ0Z1Ps6NynsF | 5,338 | The main shell script runner for ollama downloader doesn't check for hash | {
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Hi team:
You have this ollama installer on the main website.
```
curl -fsSL https://ollama.com/install.sh | sh
```
If someone hacked into the website, and change the script, the end user would never know. You should bake the checksum into the downloader to make sure the installer is not m... | null | {
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https://api.github.com/repos/ollama/ollama/issues/5099 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5099/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5099/comments | https://api.github.com/repos/ollama/ollama/issues/5099/events | https://github.com/ollama/ollama/issues/5099 | 2,357,452,145 | I_kwDOJ0Z1Ps6Mg91x | 5,099 | Add `upgrade` command to upgrade the version | {
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This is an excellent project!
Is there any plan to add an upgrade command-line feature?
So that we can use `ollama --upgrade` or something else to update the version instead of manual download & install it again.
Thanks! | {
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https://api.github.com/repos/ollama/ollama/issues/4269 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4269/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4269/comments | https://api.github.com/repos/ollama/ollama/issues/4269/events | https://github.com/ollama/ollama/pull/4269 | 2,286,666,718 | PR_kwDOJ0Z1Ps5u7-33 | 4,269 | update pull handler to use model.Name | {
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https://api.github.com/repos/ollama/ollama/issues/3479 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3479/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3479/comments | https://api.github.com/repos/ollama/ollama/issues/3479/events | https://github.com/ollama/ollama/pull/3479 | 2,224,126,418 | PR_kwDOJ0Z1Ps5rogKu | 3,479 | Fix CI release glitches | {
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arm64 builds weren't setting cross-compilation flags when building on x86 | {
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https://api.github.com/repos/ollama/ollama/issues/1588 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1588/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1588/comments | https://api.github.com/repos/ollama/ollama/issues/1588/events | https://github.com/ollama/ollama/issues/1588 | 2,047,602,326 | I_kwDOJ0Z1Ps56C-6W | 1,588 | [mistral][docker][linuxWSL]Infinit tags | {
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I just say Hello how are you in French in Mistral and....
I had infinit tags for response :
sudo docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
pulling manifest
>>> /set verbose
>>> Bonjour ! ça va ?
Hello! I'm just a text-based AI, so I don't have th... | {
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https://api.github.com/repos/ollama/ollama/issues/691 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/691/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/691/comments | https://api.github.com/repos/ollama/ollama/issues/691/events | https://github.com/ollama/ollama/issues/691 | 1,924,698,003 | I_kwDOJ0Z1Ps5yuI-T | 691 | Expose the API as ProtocolBuffer | {
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all this expose and auto generate api per langs.
Thank you for the Ollama initiative.
Cheers. | {
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https://api.github.com/repos/ollama/ollama/issues/7144 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7144/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7144/comments | https://api.github.com/repos/ollama/ollama/issues/7144/events | https://github.com/ollama/ollama/pull/7144 | 2,574,368,265 | PR_kwDOJ0Z1Ps5-AYcG | 7,144 | Better handle small models in scheduler | {
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} | Our memory prediction for small models tends to over-estimate the actual VRAM usage, which causes the scheduler to incorrectly wait too long for recovery.
Fixes #7130 | {
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This issue thread mentions the overarching issue, and the specific comment a potential workaround: https://github.com/ollama/ollama/issues/630#issuecomment-2182371780
My understanding is that the 236B model should be feasible to load into less RAM than the model actually takes up since not al... | {
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Source:https://www.reddit.com/r/LocalLLaMA/comments/1ca8uxo/llavallama38b_is_released/ | null | {
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https://api.github.com/repos/ollama/ollama/issues/2306 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2306/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2306/comments | https://api.github.com/repos/ollama/ollama/issues/2306/events | https://github.com/ollama/ollama/issues/2306 | 2,111,993,477 | I_kwDOJ0Z1Ps594naF | 2,306 | Show file sizes on the models page on the ollama website | {
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https://api.github.com/repos/ollama/ollama/issues/3086 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3086/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3086/comments | https://api.github.com/repos/ollama/ollama/issues/3086/events | https://github.com/ollama/ollama/pull/3086 | 2,182,694,322 | PR_kwDOJ0Z1Ps5pb505 | 3,086 | Import server.cpp to retain llava support | {
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} | Recent refactoring upstream has temporarily(?) removed llava support from the server.cpp code, which we rely on. This pulls the server just before that change into our repo so we can keep current with the base llama.cpp code updates until llava support is added back.
Verified on Mac, Linux and Windows. | {
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https://api.github.com/repos/ollama/ollama/issues/6969 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6969/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6969/comments | https://api.github.com/repos/ollama/ollama/issues/6969/events | https://github.com/ollama/ollama/pull/6969 | 2,549,158,578 | PR_kwDOJ0Z1Ps58uF_p | 6,969 | Bump ROCm on linux to 6.2 | {
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} | Fixes #6773
According to the compat matrix, no GPUs are dropped compared to 6.1
No regressions detected across gfx1034 gfx1035 gfx1030 gfx900 gfx906 gfx1100 gfx1103 | null | {
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https://api.github.com/repos/ollama/ollama/issues/8540 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8540/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8540/comments | https://api.github.com/repos/ollama/ollama/issues/8540/events | https://github.com/ollama/ollama/pull/8540 | 2,805,211,246 | PR_kwDOJ0Z1Ps6IrB2D | 8,540 | Update README.md added deepseek-r1 | {
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https://api.github.com/repos/ollama/ollama/issues/6666 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6666/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6666/comments | https://api.github.com/repos/ollama/ollama/issues/6666/events | https://github.com/ollama/ollama/pull/6666 | 2,509,120,961 | PR_kwDOJ0Z1Ps56mObP | 6,666 | Improve logging on GPU too small | {
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https://api.github.com/repos/ollama/ollama/issues/3620 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3620/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3620/comments | https://api.github.com/repos/ollama/ollama/issues/3620/events | https://github.com/ollama/ollama/issues/3620 | 2,241,126,705 | I_kwDOJ0Z1Ps6FlOEx | 3,620 | Mixtral 8x22b - v0.1 | {
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BTW Mixtral released a new model: https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1
The Mixtral-8x22B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. | {
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> Ollero (ollero.nvim) is a Neovim Plugin that unleashes Ollama super powers to your beloved text editor. | {
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I encountered an issue when attempting to load the 'llava' AI model; however, others such as 'Llama3' or 'Phi3' have no problem. Here are the details:
```
>>ollama run llava
Error: llama runner process no longer running: 1
```
server.log
```
...
clip_model_load: CLIP using CUDA backend
... | {
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At present, there are only three types of sorting the model download page. Can it add a sort that is mainly based on model update time? This is convenient for the models that are updated on the old version recently, don't find it slowly.
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} | I have used RTX3070 with 8GB of ram and I can Run gemma2 9b on all GPU and I can run qwen2.5 14B on RTX4070 with 12GB of ram on all GPU. So I revise requirements so that people with that GPU's would know they can run these models. | null | {
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It would be good to be able to disable auto-updates for the Windows client
### How should we solve this?
An environment variable, empty file for persistence -- checkbox in the taskbar as a stretch goal
### What is the impact of not solving this?
Currently I am renaming **ollama app.... | {
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} | Addresses the problem raised in Issue #877.
This pull request introduces a temporary workaround to support the GGUF container specification version 3 by treating it as version 2 within the switch case block in `llm/gguf.go`. This change ensures that the new models utilizing version 3 can be processed correctly in th... | {
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https://api.github.com/repos/ollama/ollama/issues/8641 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8641/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8641/comments | https://api.github.com/repos/ollama/ollama/issues/8641/events | https://github.com/ollama/ollama/issues/8641 | 2,816,461,135 | I_kwDOJ0Z1Ps6n38lP | 8,641 | ollama list command not listing installed models | {
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} | null | null | null | ### What is the issue?
I installed ollama than changed the drive to install models using this article -
"https://medium.com/@dpn.majumder/how-to-deploy-and-experiment-with-ollama-models-on-your-local-machine-windows-34c967a7ab0e"
Than I installed deepseek r1-7b. Now I have restarted and also tried reinstalling ever... | {
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https://api.github.com/repos/ollama/ollama/issues/8637 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8637/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8637/comments | https://api.github.com/repos/ollama/ollama/issues/8637/events | https://github.com/ollama/ollama/issues/8637 | 2,815,815,322 | I_kwDOJ0Z1Ps6n1e6a | 8,637 | can't install deepseek 1.7b on windows | {
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} | null | null | null | ### What is the issue?
while trying to run ollama run deepseek-r1:7b it repeatedly fails at about 6%.everytime i try to run deepseek
i get an error saying error max retries exceeded: EOF
### OS
Windows
### GPU
Nvidia
### CPU
Intel
### Ollama version
latest | {
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https://api.github.com/repos/ollama/ollama/issues/2576 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2576/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2576/comments | https://api.github.com/repos/ollama/ollama/issues/2576/events | https://github.com/ollama/ollama/pull/2576 | 2,141,050,755 | PR_kwDOJ0Z1Ps5nN_3T | 2,576 | Vulkan support: WIP, do not merge | {
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} | This is a very preliminary ~~implementation~~ hack of Vulkan support, which llama.cpp recently added.
This is not intended to be merged. This code is far from there. I jsut want to get feedback from ollama devs and some pointers.
I tested this on an Intel Iris Plus G7 GPU on Linux. Phi-2 works fine with 20%-50... | {
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https://api.github.com/repos/ollama/ollama/issues/5807 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5807/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5807/comments | https://api.github.com/repos/ollama/ollama/issues/5807/events | https://github.com/ollama/ollama/pull/5807 | 2,420,582,011 | PR_kwDOJ0Z1Ps51-IzE | 5,807 | Add temporary patch for the new Mistral Tekken tokenizer | {
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https://api.github.com/repos/ollama/ollama/issues/3222 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3222/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3222/comments | https://api.github.com/repos/ollama/ollama/issues/3222/events | https://github.com/ollama/ollama/issues/3222 | 2,191,953,757 | I_kwDOJ0Z1Ps6Cpo9d | 3,222 | Support Grok | {
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} | null | null | null | ### What model would you like?
Please add [xai-org/grok-1](https://github.com/xai-org/grok-1) model to ollama. | null | {
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