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llama runner process has terminated: exit status127 ?
### OS
Linux
### GPU
Other
### CPU
Other
### Ollama version
0.3* | {
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} | null | null | null | Hi super Ollama team!
I received an interest comment on the chatbot-ollama interface [here](https://github.com/ivanfioravanti/chatbot-ollama/issues/4).
It seems that sharing a server and connect from multiple clients works, but it's plain HTTP.
Adding SSL can help in this scenario. | {
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Using mixtral default 2048 ctx splits memory across 2x GPUs ~12 GBs each. When extending context to 12k, it dumps all mem on one GPU using 29 GB. Ideally, would want to split equally as before to push to higher 16k context without OOM. Using 2x 48 GB A6000. Issue is possibly related to https://g... | null | {
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I have just s... | null | {
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Fixes #5321 | null | {
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Gin mode is hard-coded to gin.DebugMode and ignores `GIN_MODE` environment variable.
The server always displays this log on start up.
```
[GIN-debug] [WARNING] Running in "debug" mode. Switch to "release" mode in production.
```
### OS
_No response_
### GPU
_No response_
### CPU
_No respo... | null | {
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https://api.github.com/repos/ollama/ollama/issues/481 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/481/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/481/comments | https://api.github.com/repos/ollama/ollama/issues/481/events | https://github.com/ollama/ollama/issues/481 | 1,885,227,036 | I_kwDOJ0Z1Ps5wXkgc | 481 | Unable to build ollama on linux with go 1.21.0 and Docker | {
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> llm/ggml_llama.go:31:12: pattern llama.cpp/ggml/build/*/bin/*: no matching files found
After that I cleaned my enviroment to ensure a clean slate
```bash
go clean -r -x -cache -testcache -modcache -fuzzcache
```
This however did no... | {
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if i run llama3.1 (which is ok):
```
Prompt: What is three plus one?
Calling function: add_two_numbers
Arguments: {'a': 3, 'b': 1}
Function output: 4
```
but if i run llama3.2:
```
Prompt: What is three plus one?
Calling function: add_two_numbers
Arguments: {'a': '3', 'b': '1'}
Fun... | {
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retrieving manifest
Error: file does not exist
==> maybe change that in code too | {
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https://api.github.com/repos/ollama/ollama/issues/2974 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2974/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2974/comments | https://api.github.com/repos/ollama/ollama/issues/2974/events | https://github.com/ollama/ollama/issues/2974 | 2,173,080,997 | I_kwDOJ0Z1Ps6BhpWl | 2,974 | ollama free GPU memory itself | {
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if no request to ollama for a few minutes, it will free GPU memory， when a new request comes, it will load the model and response, so this will about 5 seconds. How to make ollama hold the GPU memory | {
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I'm trying to update the OLLAMA_MODELS env variable based models download path on my MacBook Pro M4 Pro 24GB/512GB, but after following commands it's still taking the default path.
**Commands:**
1. Stop Ollama App
2. vi ~/.zshrc
3. add: export OLLAMA_MODELS="/Volumes/Extreme-Pro/GenAI-Helper/o... | {
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~$ ollama run phi | tee llms/out.txt
>>> Error getting size: inappropriate ioctl for device
panic: runtime error: invalid memory address or nil pointer dereference
[signal SIGSEGV: segmentation violation code=0x1 addr=0x8 pc=0x9ad54e]
goroutine 1 [running]:
github.com/jmorganca/ollama/readline.(*Buffer).IsE... | {
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} | null | null | null | ### What is the issue?
I installed the AMD drivers with https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/native-install/ubuntu.html :heavy_check_mark:
OS: `Ubuntu 24.04.1 LTS`
ROCm: `ROCm version: 6.2.0`
CPU: `AMD Ryzen 9 7950X3D`
GPU: `Radeon RX 7900 XTX`
model: `llama3.1`
Started with... | {
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https://api.github.com/repos/ollama/ollama/issues/189 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/189/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/189/comments | https://api.github.com/repos/ollama/ollama/issues/189/events | https://github.com/ollama/ollama/pull/189 | 1,818,363,433 | PR_kwDOJ0Z1Ps5WOouf | 189 | Improve command parsing and multiline string handling | {
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} | This PR enhances the existing parser package. Main improvements include better error handling, optimized string-to-byte conversions, and efficient handling of multiline strings.
Detailed changes:
- Define a `multilineString` constant for repeated values to avoid duplication.
- Modify the error handling in the `Par... | {
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I couldn't find a dedicated issue for this so I'm creating this one to track it.
Edit: For those interested in this feature, follow https://github.com/jmorganca/ollam... | {
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} | /api/tags was returning "0001-01-01T00:00:00Z" for 'expires_at'
/api/ps was returning "0001-01-01T00:00:00Z" for 'modified_at'
- Removes these fields from the respective endpoints
/api/ps was omitting 'size_vram' when it was 0
- ensures that size_vram is always returned
Added assertion in test case, and te... | {
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https://api.github.com/repos/ollama/ollama/issues/6355 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6355/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6355/comments | https://api.github.com/repos/ollama/ollama/issues/6355/events | https://github.com/ollama/ollama/issues/6355 | 2,465,329,090 | I_kwDOJ0Z1Ps6S8e_C | 6,355 | LLama 3.1 Tools do not work properly | {
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I can't get the tooling function of llama 3.1 to work properly.
```python
messages = [
{'role': 'system', 'content': 'You are a helpful assistant with tool calling capabilities. When you receive a tool call response, use the output to format an answer to the orginal use question.'},
{'ro... | {
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https://api.github.com/repos/ollama/ollama/issues/2167 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2167/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2167/comments | https://api.github.com/repos/ollama/ollama/issues/2167/events | https://github.com/ollama/ollama/issues/2167 | 2,097,758,655 | I_kwDOJ0Z1Ps59CUG_ | 2,167 | Deleting a model isn't removing Its blob | {
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## Description
**Bug Summary:**
When I try to delete a model through the UI in the settings it doesn't seem to work properly.
**Steps to Reproduce:**
Settings > Select a model to delete > Delete
**Expected Behavior:**
It should delete the model and `/usr/share/ollama/.ollama/models/blobs` sh... | {
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https://api.github.com/repos/ollama/ollama/issues/8552 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8552/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8552/comments | https://api.github.com/repos/ollama/ollama/issues/8552/events | https://github.com/ollama/ollama/issues/8552 | 2,807,480,713 | I_kwDOJ0Z1Ps6nVsGJ | 8,552 | Adding Tools support to template causes erroneous removal of <think> tag in responses | {
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A model like `deepseek-r1` emits thinking self-dialog between `<think>` and `</think>`. This is evident in deepseek-r1 with the standard chat template.
While trying to add tool support I added this after the system message, this minimal addition is enough to show the problem.
```
{{- if .Tools... | {
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Llama 3.1 8B replies bad answers to a simple information extraction, running "out-of-the-box" on Ollama Mac.
The same model running on Llama.cpp with seemingly the same parameters works well.
Attached is a markdown content from a website, that is provided to the ollama prompt along with
`L... | {
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> InternLM-XComposer2.5 excels in various text-image comprehension and composition applications, achieving GPT-4V level capabilities with merely 7B LLM backend. IXC2.5 is trained with 24K interleaved image-text contexts, it... | null | {
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} | This is the basic implementation of enabling a linux build with GPU support.
Building for Linux with CPU support is unchanged (generate and build as normal).
Building for Linux with GPU requires generating with the `gpu` tag. This is to allow non-GPU linux builds to continue to be built locally without issue.
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} | This PR includes documentation changes which should be merged when the release with the `ollama stop` command goes live (from PR #6739) | {
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https://api.github.com/repos/ollama/ollama/issues/741 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/741/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/741/comments | https://api.github.com/repos/ollama/ollama/issues/741/events | https://github.com/ollama/ollama/pull/741 | 1,933,299,292 | PR_kwDOJ0Z1Ps5cRa67 | 741 | Update api.md | {
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![CleanShot 2023-10-09 at 17 08 51@2x](https://github.com/jmorganca/ollama/assets/12672541/a14daee3-9558-4be7-9b5d-b90b... | {
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https://api.github.com/repos/ollama/ollama/issues/7026 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7026/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7026/comments | https://api.github.com/repos/ollama/ollama/issues/7026/events | https://github.com/ollama/ollama/pull/7026 | 2,554,714,116 | PR_kwDOJ0Z1Ps59BBpC | 7,026 | server: fix custom template capabiliy checking for generation. (Fixes #7052) | {
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} | Closes #7052
Model capability checks for e.g Fill-In-Middle tasks (named insert for Capability) check that the Model Template includes the required template variables for the task
This PR addresses an issue where only the Template from the Modelfile was used to decide on capability rather than the request templat... | null | {
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https://api.github.com/repos/ollama/ollama/issues/4665 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4665/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4665/comments | https://api.github.com/repos/ollama/ollama/issues/4665/events | https://github.com/ollama/ollama/issues/4665 | 2,319,229,522 | I_kwDOJ0Z1Ps6KPKJS | 4,665 | Request to add Smaug Llama3 | {
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} | null | null | null | This fine tune model of Llama-3-70B-Instruct target to be a very high performant on quality
https://huggingface.co/abacusai/Smaug-Llama-3-70B-Instruct
Similar to Smaug-72b (but improved) that was built and finetune with DPO techniques https://arxiv.org/abs/2402.13228
Summarized: "DPO-Positive (DPOP), a new loss fu... | null | {
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https://api.github.com/repos/ollama/ollama/issues/5168 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5168/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5168/comments | https://api.github.com/repos/ollama/ollama/issues/5168/events | https://github.com/ollama/ollama/issues/5168 | 2,364,190,541 | I_kwDOJ0Z1Ps6M6q9N | 5,168 | Models don't respond and ollama gets stuck after long time | {
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Good afternoon.
I am rewriting a datasets by using https://ollama.com/library/mixtral:instruct
Ollama works perfectly until randomly it seems to get stuck in every task which envolves using a model.
The OS is Ubuntu 22.04.
Inference and running a model get stucks:
```bash
lggarcia@t... | {
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https://api.github.com/repos/ollama/ollama/issues/4459 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4459/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4459/comments | https://api.github.com/repos/ollama/ollama/issues/4459/events | https://github.com/ollama/ollama/pull/4459 | 2,298,893,867 | PR_kwDOJ0Z1Ps5vlfTp | 4,459 | Sanitize the env var debug log | {
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} | Only dump env vars we care about in the logs | {
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https://api.github.com/repos/ollama/ollama/issues/3378 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3378/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3378/comments | https://api.github.com/repos/ollama/ollama/issues/3378/events | https://github.com/ollama/ollama/pull/3378 | 2,211,996,382 | PR_kwDOJ0Z1Ps5q_SzG | 3,378 | Update README.md | {
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} | Plugins list updated | {
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https://api.github.com/repos/ollama/ollama/issues/2814 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2814/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2814/comments | https://api.github.com/repos/ollama/ollama/issues/2814/events | https://github.com/ollama/ollama/issues/2814 | 2,159,532,651 | I_kwDOJ0Z1Ps6At9pr | 2,814 | Cannot use Ollama at all on Windows | {
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} | null | null | null | On Windows, with the preview build, I installed Ollama, but as soon as I entered “ollama run llama2”, I got this:
Error: max retries exceeded: 400: <?xml version="1.0” encoding="UTF-8”?><Error><Code>InvalidArgument</Code><Message>Invalid Argument: range must be positive.</Message></Error>
Not sure what to do about th... | {
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https://api.github.com/repos/ollama/ollama/issues/5553 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5553/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5553/comments | https://api.github.com/repos/ollama/ollama/issues/5553/events | https://github.com/ollama/ollama/issues/5553 | 2,396,881,977 | I_kwDOJ0Z1Ps6O3YQ5 | 5,553 | GLM4-1m support | {
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} | null | null | null | ### What is the issue?
taozhiyu@603e5f4a42f1 downloads % ollama run glm4:9b-chat-1m-q8_0
pulling manifest
pulling 5c0b5b35f3e0... 100% ▕█████████████████▏ 10 GB
pulling e7e7aebd710c... 100% ▕█████████████████▏ 137 B
pulling e4f0dc83900a... 100% ▕████████████████... | null | {
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https://api.github.com/repos/ollama/ollama/issues/317 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/317/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/317/comments | https://api.github.com/repos/ollama/ollama/issues/317/events | https://github.com/ollama/ollama/pull/317 | 1,845,540,061 | PR_kwDOJ0Z1Ps5XqI4j | 317 | cmd: check GetBlobsPath error | {
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} | The error returned by `server.GetBlobsPath` in `showLayer` was never checked. Check the error and return if not nil. Also, make newlines at the end of error messages consistent and fix a typo. | {
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https://api.github.com/repos/ollama/ollama/issues/4256 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4256/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4256/comments | https://api.github.com/repos/ollama/ollama/issues/4256/events | https://github.com/ollama/ollama/issues/4256 | 2,285,298,174 | I_kwDOJ0Z1Ps6INuH- | 4,256 | Ollama 0.1.34 not working on AGX Orin 64gb while no issue on 0.1.30 | {
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It was perfectly working on 0.1.30 that I've compiled. Now either the official release nor my compiled version is working
Ollama "serve" hangs with:
`CUDA error: the resource allocation failed
current device: 0, in function cublas_handle at /data/llm/llama.cpp/ggml-cuda/common.cuh:526
... | {
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https://api.github.com/repos/ollama/ollama/issues/6429 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6429/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6429/comments | https://api.github.com/repos/ollama/ollama/issues/6429/events | https://github.com/ollama/ollama/pull/6429 | 2,474,322,317 | PR_kwDOJ0Z1Ps54ya2m | 6,429 | CI: remove directories from dist dir before upload step | {
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https://api.github.com/repos/ollama/ollama/issues/5081 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5081/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5081/comments | https://api.github.com/repos/ollama/ollama/issues/5081/events | https://github.com/ollama/ollama/issues/5081 | 2,355,816,361 | I_kwDOJ0Z1Ps6Mauep | 5,081 | Timeout for long generation | {
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} | null | null | null | ### What is the issue?
https://github.com/ollama/ollama-js/issues/103
After 5 minutes of execution, 500 error is received. There is no way to increase the time. I use `stream: false`.
`keepalive: 15m` and env `OLLAMA_KEEP_ALIVE=15m` does not help
```
июн 16 17:43:34 ai ollama[3733311]: [GIN] 2024/06/16 - ... | {
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https://api.github.com/repos/ollama/ollama/issues/1834 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1834/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1834/comments | https://api.github.com/repos/ollama/ollama/issues/1834/events | https://github.com/ollama/ollama/pull/1834 | 2,069,003,418 | PR_kwDOJ0Z1Ps5jZkEa | 1,834 | Detect very old CUDA GPUs and fall back to CPU | {
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} | If we try to load the CUDA library on an old GPU, it panics and crashes the server. This checks the compute capability before we load the library so we can gracefully fall back to CPU mode.
Prior to version 0.1.18, the fallback behavior resulted from the subprocess runner crashing. Example from an old GPU:
```
g... | {
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https://api.github.com/repos/ollama/ollama/issues/1334 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1334/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1334/comments | https://api.github.com/repos/ollama/ollama/issues/1334/events | https://github.com/ollama/ollama/pull/1334 | 2,019,308,220 | PR_kwDOJ0Z1Ps5g0KfR | 1,334 | load projectors | {
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} | continuation of #1250 and #1308 to load additional models
This adds model configurations to generate response:
```
$ curl -s localhost:11434/api/generate -d '{"model":"llava:7b-v1.5-q4_0"}' | jq .
{
"model": "llava:7b-v1.5-q4_0",
"created_at": "2023-12-01T19:41:43.684471Z",
"response": "",
"model_co... | {
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} | When trimming the input chat prompt we need to make sure we keep the prompt template in the expected format. Without this the prompt will be trimmed without accounting for the model template when the maximum context length is reached, which can result in unexpected behavior from the model.
- update the `ChatPrompt` ... | {
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https://api.github.com/repos/ollama/ollama/issues/263 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/263/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/263/comments | https://api.github.com/repos/ollama/ollama/issues/263/events | https://github.com/ollama/ollama/issues/263 | 1,834,033,064 | I_kwDOJ0Z1Ps5tUR-o | 263 | Crash when running many (500) generations | {
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2023-08-03 01:24:10.990 ollama[3006:24871] *** Terminating app due to uncaught exception 'NSInvalidArgumentException', reason: '*** -[__NSArrayM setObject:atIndexedSubscript:]: object cannot be nil'
*** First throw call stack:
(
0 CoreFoundation 0x00000001aa66b154 __exceptionPreproces... | {
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https://api.github.com/repos/ollama/ollama/issues/3748 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3748/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3748/comments | https://api.github.com/repos/ollama/ollama/issues/3748/events | https://github.com/ollama/ollama/issues/3748 | 2,252,194,110 | I_kwDOJ0Z1Ps6GPcE- | 3,748 | Import from a HF model directly? | {
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"name": "feature request",
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I don't want to converting it to GGUF.
| {
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https://api.github.com/repos/ollama/ollama/issues/4097 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4097/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4097/comments | https://api.github.com/repos/ollama/ollama/issues/4097/events | https://github.com/ollama/ollama/issues/4097 | 2,274,804,599 | I_kwDOJ0Z1Ps6HlsN3 | 4,097 | Generation Request Failing When Ollama Server Running Inside a Docker Container | {
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Hi,
This is My Dockerfile in Which I am Using the Ollama Base Image
```
FROM ollama/ollama:0.1.32 AS OllamaServer
WORKDIR /usr/src/app
COPY . .
EXPOSE 11434
ENV OLLAMA_HOST 0.0.0.0
ENV OLLAMA_ORIGINS=http://0.0.0.0:11434
RUN nohup bash -c "ollama serve &" && sleep 5 && ollama create... | {
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https://api.github.com/repos/ollama/ollama/issues/8633 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8633/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8633/comments | https://api.github.com/repos/ollama/ollama/issues/8633/events | https://github.com/ollama/ollama/pull/8633 | 2,815,643,279 | PR_kwDOJ0Z1Ps6JOZes | 8,633 | my commit | {
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https://api.github.com/repos/ollama/ollama/issues/1298 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1298/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1298/comments | https://api.github.com/repos/ollama/ollama/issues/1298/events | https://github.com/ollama/ollama/issues/1298 | 2,014,096,005 | I_kwDOJ0Z1Ps54DKqF | 1,298 | clipboard paste issue | {
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"html_url": "https://github.com/eramax",
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when I past a long contain from windows to wsl terminal using windows terminal I face this incorrect printing for the pasted input
The source (original)
```go
explain this code
func Parse(reader io.Reader) ([]Command, error) {
var commands []Command
var command, modelCommand Comma... | {
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https://api.github.com/repos/ollama/ollama/issues/2702 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2702/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2702/comments | https://api.github.com/repos/ollama/ollama/issues/2702/events | https://github.com/ollama/ollama/issues/2702 | 2,150,637,835 | I_kwDOJ0Z1Ps6AMCEL | 2,702 | [Petition] Enable "Discussion" tab on Ollama for Q/A and or 'I need help' type of questions | {
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https://api.github.com/repos/ollama/ollama/issues/2105 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2105/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2105/comments | https://api.github.com/repos/ollama/ollama/issues/2105/events | https://github.com/ollama/ollama/pull/2105 | 2,091,875,465 | PR_kwDOJ0Z1Ps5kneb2 | 2,105 | Update demo code for langchain-community separation | {
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https://api.github.com/repos/ollama/ollama/issues/6580 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6580/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6580/comments | https://api.github.com/repos/ollama/ollama/issues/6580/events | https://github.com/ollama/ollama/issues/6580 | 2,498,937,562 | I_kwDOJ0Z1Ps6U8sLa | 6,580 | phi3.5:3.8b-mini-instruct is missing parameters on Ollama's website. | {
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} | null | null | null | ### What is the issue?
As shown in the screenshot, there is no parameters, so `ollama run phi3.5:latest` will not function correctly.
Here is the corrected modelfile if anyone needs it:
```
FROM phi3.5:3.8b-mini-128k-instr... | {
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https://api.github.com/repos/ollama/ollama/issues/1540 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1540/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1540/comments | https://api.github.com/repos/ollama/ollama/issues/1540/events | https://github.com/ollama/ollama/pull/1540 | 2,042,956,095 | PR_kwDOJ0Z1Ps5iEbGQ | 1,540 | docs: add brew link | {
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https://api.github.com/repos/ollama/ollama/issues/2032 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2032/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2032/comments | https://api.github.com/repos/ollama/ollama/issues/2032/events | https://github.com/ollama/ollama/issues/2032 | 2,086,604,523 | I_kwDOJ0Z1Ps58Xw7r | 2,032 | Unable to pull models on NTFS filesystem | {
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### Context
I am running **ollama** using the docker image, but I want to store the models on an external SSD to prevent the container from filling my computer storage.
The way I'm doing it, is that I mount the ` ~/.ollama/` directory of the container into my SSD.
### Issue
Since the docker image is built ... | {
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time=2024-04-01T08:23:20.161+08:00 level=INFO source=gpu.go:115 msg="Detecting GPU type"
time=2024-04-01T08:23:20.161+08:00 level=INFO source=gpu.go:265 msg="Searching for GPU management library cudart64_*.dll"
time=2024-04-01T08:23:20.170+08:00 level=INFO source=gpu.go:311 msg="Discovered GPU... | {
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https://api.github.com/repos/ollama/ollama/issues/2387 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2387/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2387/comments | https://api.github.com/repos/ollama/ollama/issues/2387/events | https://github.com/ollama/ollama/issues/2387 | 2,122,984,249 | I_kwDOJ0Z1Ps5-iis5 | 2,387 | [FEATURE]`search` command for the CLI app. | {
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```bash
ollama run <MODEL>
```
OR
```bash
ollama pull <MODEL>
```
It would be better if there is a `search` command in the CLI app itself such that it can be used to search for model... | null | {
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https://api.github.com/repos/ollama/ollama/issues/3611 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3611/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3611/comments | https://api.github.com/repos/ollama/ollama/issues/3611/events | https://github.com/ollama/ollama/issues/3611 | 2,239,072,038 | I_kwDOJ0Z1Ps6FdYcm | 3,611 | Codegemma Instruct failed | {
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Others are working fine.
Windows 11,
Latest ollama. | {
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https://api.github.com/repos/ollama/ollama/issues/108 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/108/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/108/comments | https://api.github.com/repos/ollama/ollama/issues/108/events | https://github.com/ollama/ollama/issues/108 | 1,810,892,598 | I_kwDOJ0Z1Ps5r8Ac2 | 108 | Error after prompting Llama2 on M1. | {
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`Error: Post "http://127.0.0.1:11434/api/generate": EOF
`
Installed on M1 Macbook Pro
Ollama reports that it is running.
'Ollama list' reports llama2:latest.
Is this a memory issue? | {
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https://api.github.com/repos/ollama/ollama/issues/3314 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3314/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3314/comments | https://api.github.com/repos/ollama/ollama/issues/3314/events | https://github.com/ollama/ollama/issues/3314 | 2,203,987,470 | I_kwDOJ0Z1Ps6DXi4O | 3,314 | "server stop" and "server status" commands | {
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I would like to have more control over the ollama server. As it stands, the ollama command line does not provide a convenient way to stop the server once it is running or get the server status. Having a way to get memory, runtime, GPU and CPU statistics would also be a plus.
###... | null | {
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https://api.github.com/repos/ollama/ollama/issues/3028 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3028/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3028/comments | https://api.github.com/repos/ollama/ollama/issues/3028/events | https://github.com/ollama/ollama/pull/3028 | 2,177,408,310 | PR_kwDOJ0Z1Ps5pJ3Ou | 3,028 | CI release process | {
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} | This is now fully wired up and tested with tag pushes and completes in ~34 minutes.
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https://api.github.com/repos/ollama/ollama/issues/3429 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3429/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3429/comments | https://api.github.com/repos/ollama/ollama/issues/3429/events | https://github.com/ollama/ollama/issues/3429 | 2,217,165,085 | I_kwDOJ0Z1Ps6EJ0Ed | 3,429 | Add additional language translation layers with special model | {
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Many models are very good with specific tasks but they lack support of other languages. Their output in other language than english is very poor.
### How should we solve this?
The input could go first to translation layer with specific model for translation from any language to e... | null | {
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https://api.github.com/repos/ollama/ollama/issues/3466 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3466/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3466/comments | https://api.github.com/repos/ollama/ollama/issues/3466/events | https://github.com/ollama/ollama/pull/3466 | 2,221,625,570 | PR_kwDOJ0Z1Ps5rf1kW | 3,466 | default head_kv to 1 | {
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https://api.github.com/repos/ollama/ollama/issues/6011 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6011/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6011/comments | https://api.github.com/repos/ollama/ollama/issues/6011/events | https://github.com/ollama/ollama/issues/6011 | 2,433,383,661 | I_kwDOJ0Z1Ps6RCnzt | 6,011 | lama runner process has terminated: exit status 0xc0000005 - snowflake-arctic-embed | {
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"total": 0,
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} | null | null | null | ### What is the issue?
It's again the #4334 issue. I have multiple local CPU nodes and using ollama behind the litellm proxy.
The issue is with embedding call for **snowflake-arctic-embed** model.
For example **nomic-embed-text** seems to be working fine.
```litellm.llms.ollama.OllamaError: {"error":"llama runn... | null | {
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https://api.github.com/repos/ollama/ollama/issues/2829 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2829/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2829/comments | https://api.github.com/repos/ollama/ollama/issues/2829/events | https://github.com/ollama/ollama/issues/2829 | 2,160,674,291 | I_kwDOJ0Z1Ps6AyUXz | 2,829 | Use cloudflared Tunnels to publish ollama service ports, with clients returning with no messages | {
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```
PARAMETER rope_frequency_base 1000000
```
but it should also be possible to use `gguf-set-metadata` to do the same.
I'm not the only one who noticed this as the official GGUF `q5_k_m` and `... | {
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Marking draft until I have a chance to do more testing (simple happy path on mac works) | {
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Both the [generate-embeddings](https://github.com/ollama/ollama/blob/main/docs/api.md#generate-embeddings) and the [chat completion](https://github.com/ollama/ollama/blob/main/docs/api.md#generate-a-chat-completion) API endpoints take the `options` as an input parameter. E.g.
> options: additional model parameters l... | {
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zsh: illegal hardware instruction ollama run mistral | {
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Disclaimer: I have no GPU (Integrated Graphics)
### OS
Linux
### GPU
Other
### CPU
Intel
### Ollama version
0.4 | {
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```
user@magicbook14:~$ ollama --version
ollama version is 0.3.12
user@magicbook14:~$ ollama ps
NAME ID SIZE PROCESSOR UNTIL
```
I'm pretty sure it's some kind of regress, because on p... | null | {
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Error: llama runner exited,you may not have enough available memory to run this model
I was in the middle of testing these... | {
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They should be referencing the "0.1.39" and "0.1.39-rocm" containers.
https://hub.docker.com/r/ollama/ollama/tags
### OS
Linux
### GPU
Nvidia
### CPU
Intel, AMD
### Ollama version
0.1.39 | {
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Thanks for Ollama, it is a great thing to use:)
I've installed it on my local (Manjaro) and it works nice. After that, I'm trying to install on a server, which is running with IBM POWER8NVL cpu and Ubuntu 18.04 is my latest updated choice. It means, I cannot run the install script, because of the scrip... | null | {
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I tested it will start failed,
This causes the systemd to constantly restart this service and download many temporary files that will not be deleted yet
![image](https://github.com/ollama/ollama/assets/1399388... | {
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I think this issue is still persisting:
> "I noticed that modifying the Context Length in Settings - Advanced Parameters doesn't actually pass that parameter in the request. Only changing the Context Length in Chat Controls - Advanced Params actually sends the parameter. This seems to be a ... | {
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} | null | null | null | Hello everyone,
I'm not sure if I can use the model with the "MPTForCausalLM" architecture with Ollama. I tried to import it following the instructions here: https://github.com/jmorganca/ollama/blob/main/docs/import.md
The import process was successful, but when running with the new model, I encountered an error:... | {
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I have a bunch of text snippets that I'd like to generate embeddings for, could ollama (any model, idc at tje moment) be used for this?
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The GPU is not used when using
Start log
```
ollama start
2024/09/06 06:40:42 routes.go:1125: INFO server config env="map[CUDA_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: OLLAMA_DEBUG:false OLLAMA_FLASH_ATTENTION:false OLLAMA_HOST:http://127.0.0.1:11... | {
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When I hit enter, the input prompt teminates. In ChatGPT I can hit SHIFT enter to begin a new line but not with ollama.
Even pasting multiline text works in ChatGPT but not with ollama.
A workaround seems to be to pipe text files in - see #161
Shouldn't there be a multiline mode o... | {
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} | ## Context
https://github.com/ollama/ollama/issues/8682: Gin mode is hard-coded to `gin.DebugMode` and the server displays this log on start up.
```
[GIN-debug] [WARNING] Running in "debug" mode. Switch to "release" mode in production.
```
## Changes
This PR removes hard-coded `gin.DebugMode` from the source code... | null | {
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<img width="851" alt="截屏2024-05-08 08 00 26" src="https://github.com/ollama/ollama/assets/146583103/4442ec59-4131-43de-b03c-3154d6c13fa2">
shown as above.
### OS
macOS
### GPU
Apple
### CPU
Apple
### Ollama version
0.1.34 | {
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Modelfile 如下：
FROM converted.bin
TEMPLATE "[INST] {{ .Prompt }} [/INST]"
其中 converted.bin是通过 huggingface 模型转换而来。
执行 ollama create example -f Modelfile 报错：
Error: no FROM line for the model was specified
### What did you expect to see?
_No response_
### Steps to reproduce
... | {
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```shell
ollama ... | {
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} | null | null | null | It is a hassle to provide tools in the API call every time. When creating a custom model, it should be possible to define all tools in the model file. | {
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https://api.github.com/repos/ollama/ollama/issues/1894 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1894/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1894/comments | https://api.github.com/repos/ollama/ollama/issues/1894/events | https://github.com/ollama/ollama/issues/1894 | 2,074,339,852 | I_kwDOJ0Z1Ps57o-oM | 1,894 | Llama Guard models | {
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https://api.github.com/repos/ollama/ollama/issues/2747 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2747/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2747/comments | https://api.github.com/repos/ollama/ollama/issues/2747/events | https://github.com/ollama/ollama/issues/2747 | 2,152,869,809 | I_kwDOJ0Z1Ps6AUi-x | 2,747 | SIGFPE: floating-point exception during model initialization | {
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```
llama_model_loader: loaded meta data with 23 key-value pairs and 291 tensors from .../.ollama/models/blobs/sha256:8934d96d3f08982e95922b2b7a2c626a1fe873d7c3b06e8e56d7bc0a1fef9246 (version GGUF V3 (latest))
llama_model_loader: Dumping metadat... | {
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https://api.github.com/repos/ollama/ollama/issues/933 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/933/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/933/comments | https://api.github.com/repos/ollama/ollama/issues/933/events | https://github.com/ollama/ollama/issues/933 | 1,965,430,731 | I_kwDOJ0Z1Ps51JhfL | 933 | Request: Include Embedding Models | {
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https://api.github.com/repos/ollama/ollama/issues/5361 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5361/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5361/comments | https://api.github.com/repos/ollama/ollama/issues/5361/events | https://github.com/ollama/ollama/issues/5361 | 2,380,916,182 | I_kwDOJ0Z1Ps6N6eXW | 5,361 | Ollama running very slow on Windows | {
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"total": 0,
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} | null | null | null | ### What is the issue?
I have pulled a couple of LLMs via Ollama. When I run any LLM, the response is very slow – so much so that I can type faster than the responses I am getting.
My system specifications are: 13th Gen Intel(R) Core(TM) i5-1345U, 1600 MHz, 10 cores, and 12 logical processors.
### OS
Windows
###... | {
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https://api.github.com/repos/ollama/ollama/issues/7340 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7340/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7340/comments | https://api.github.com/repos/ollama/ollama/issues/7340/events | https://github.com/ollama/ollama/issues/7340 | 2,610,820,338 | I_kwDOJ0Z1Ps6bnfTy | 7,340 | Is it possible to use the API to pass my documents to the model and have it understand them in depth? | {
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} | null | null | null | I have a basic front end that talks via the Ollama API.
Should I just pass the entire document (300+ pages) as a prompt every time? Or is there some better way to do this.
I want it to know the documents extremely well or as well as possible.
Is this achievable?
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https://api.github.com/repos/ollama/ollama/issues/3753 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3753/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3753/comments | https://api.github.com/repos/ollama/ollama/issues/3753/events | https://github.com/ollama/ollama/issues/3753 | 2,252,802,709 | I_kwDOJ0Z1Ps6GRwqV | 3,753 | 多卡推理块开始单卡快？ | {
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"total": 0,
"completed": 0,
"percent_completed": 0
} | null | null | null | ### What is the issue?
我不太懂推理，假设我有4个gpu，每个24g。我的模型运行起来也需要24g，此时我应该选择多卡还是单卡。单卡使用24g快还是多卡每个使用6g快？
### OS
_No response_
### GPU
_No response_
### CPU
_No response_
### Ollama version
_No response_ | {
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https://api.github.com/repos/ollama/ollama/issues/8403 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8403/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8403/comments | https://api.github.com/repos/ollama/ollama/issues/8403/events | https://github.com/ollama/ollama/issues/8403 | 2,784,132,411 | I_kwDOJ0Z1Ps6l8n07 | 8,403 | Sky-T1-32B- Preview would be a great model to add | {
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] | closed | false | null | [] | null | 2 | 2025-01-13T14:27:33 | 2025-01-13T21:30:04 | 2025-01-13T21:30:03 | NONE | {
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} | null | null | null | Sky-T1-32B-Preview from UC Berkeley would be a great model to add! They say it is equivalent to o1-preview for reasoning and coding and cost just $450 to train. So small for that quality!
Hugging Face: [https://huggingface.co/NovaSky-AI/Sky-T1-32B-Preview](https://huggingface.co/NovaSky-AI/Sky-T1-32B-Preview)
Blog po... | {
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https://api.github.com/repos/ollama/ollama/issues/7679 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7679/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7679/comments | https://api.github.com/repos/ollama/ollama/issues/7679/events | https://github.com/ollama/ollama/issues/7679 | 2,660,920,543 | I_kwDOJ0Z1Ps6emmzf | 7,679 | The fine tuned codegemma model exhibits abnormal performance | {
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"total": 0,
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} | null | null | null | ### What is the issue?
I downloaded the codegemma and codellama models from Huggingface and fine tuned them using llama factory. After importing the fine tuned model into Ollama, Codellama works normally, while the Codegemma model seems to have not learned the knowledge of the fine tuned dataset. Similarly, importing ... | null | {
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