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First, I'd like to thank you for fixing the Japanese and other multi-byte (double-width) character issues. Output of Japanese is much better than before.
However, while I'm testing a couple of Japanese LLM's I found another issue which does not seem to be related to LLM model.
When a sentenc... | {
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https://api.github.com/repos/ollama/ollama/issues/5717 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5717/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5717/comments | https://api.github.com/repos/ollama/ollama/issues/5717/events | https://github.com/ollama/ollama/pull/5717 | 2,410,170,666 | PR_kwDOJ0Z1Ps51dl4b | 5,717 | server: omit model system prompt if empty | {
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} | The model's system prompt (defined by the `SYSTEM` Modelfile command) will be templated out even if empty currently. This fixes the issue so that it is only templated if not empty. | {
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https://api.github.com/repos/ollama/ollama/issues/4023 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4023/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4023/comments | https://api.github.com/repos/ollama/ollama/issues/4023/events | https://github.com/ollama/ollama/pull/4023 | 2,268,617,892 | PR_kwDOJ0Z1Ps5t_agt | 4,023 | fix(cli): unable to use CLI within the container | {
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} | In the container, `OLLAMA_HOST` is set by default to `0.0.0.0` (ref: [Dockerfile#L137]), which is fine when starting the server. However, as a client, it is must to use `127.0.0.1` or `localhost` for requests.
fix: #3521 #1337
maybe fix: #3526
[Dockerfile#L137]: https://github.com/ollama/ollama/blob/7e432cdfac51... | {
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https://api.github.com/repos/ollama/ollama/issues/3450 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3450/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3450/comments | https://api.github.com/repos/ollama/ollama/issues/3450/events | https://github.com/ollama/ollama/issues/3450 | 2,220,003,514 | I_kwDOJ0Z1Ps6EUpC6 | 3,450 | I want to make a opensource prompt and response database . | {
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} | null | null | null | ### What are you trying to do?
In this I want users to give their consent about open sourcing their prompt-response pairs to a centralized database from which everyone can train their model and using this we can infinitely improve our models.
### How should we solve this?
adding a consent tick check box in the... | null | {
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} | null | null | null | ### What is the issue?
Error: llama runner process has terminated: CUDA error: the provided PTX was compiled with an unsupported toolchain.
current device: 0, in function ggml_cuda_compute_forward at /ollama/llm/llama.cpp/ggml/src/ggml-cuda.cu:2326
err
/ollama/llm/llama.cpp/ggml/src/ggml-cuda.cu:102: CUDA error... | {
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https://api.github.com/repos/ollama/ollama/issues/6453 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6453/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6453/comments | https://api.github.com/repos/ollama/ollama/issues/6453/events | https://github.com/ollama/ollama/issues/6453 | 2,478,130,586 | I_kwDOJ0Z1Ps6TtUWa | 6,453 | Inconsistent GPU Usage | {
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} | null | null | null | ### What is the issue?
I have been happily using Ollama for sometime with my Dual RTX 3090's with an NV-Link Adaptor. Recently ive been finding the output to be quite slow. After checking both the outputs of 'ollama ps' and nvidia-smi I found that my GPUs are not fully being utilised anymore. It seems to split between... | {
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} | null | null | null | ### What is the issue?
Directly feeding a PNG image does not work (`failed to decode image: image: unknown format`), so until recently, I was using the code bellow in order to encode the image file and it used to work fine:
```
import base64
import io
from PIL import Image
import ollama
def encode_image_to... | {
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And let other users could choose and download/run it locally?
Looking forward to reply, thanks. | null | {
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https://api.github.com/repos/ollama/ollama/issues/1296 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1296/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1296/comments | https://api.github.com/repos/ollama/ollama/issues/1296/events | https://github.com/ollama/ollama/issues/1296 | 2,013,551,136 | I_kwDOJ0Z1Ps54BFog | 1,296 | All models gone? | {
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ollama run alfred
Error: could not connect to ollama server, run 'ollama serve' to start it
(alfred was previously installed)
ollama serve &
ollama run alfred
started downloading it!
Olama list
all the models are gone.
in /usr/share/ollama/.ollama/models/b... | {
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https://api.github.com/repos/ollama/ollama/issues/4618 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4618/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4618/comments | https://api.github.com/repos/ollama/ollama/issues/4618/events | https://github.com/ollama/ollama/issues/4618 | 2,315,979,851 | I_kwDOJ0Z1Ps6KCwxL | 4,618 | Extended lora support | {
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Ollama run model adapter lora
Or something similar for ease of use and easier mixing and matching using different loras with different models instead of having to hard code it into the... | {
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https://api.github.com/repos/ollama/ollama/issues/3576 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3576/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3576/comments | https://api.github.com/repos/ollama/ollama/issues/3576/events | https://github.com/ollama/ollama/issues/3576 | 2,235,575,326 | I_kwDOJ0Z1Ps6FQCwe | 3,576 | Support command r plus | {
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"total": 0,
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} | null | null | null | ### What model would you like?
https://huggingface.co/CohereForAI/c4ai-command-r-plus | {
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https://api.github.com/repos/ollama/ollama/issues/7271 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7271/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7271/comments | https://api.github.com/repos/ollama/ollama/issues/7271/events | https://github.com/ollama/ollama/pull/7271 | 2,599,236,565 | PR_kwDOJ0Z1Ps5_LcRJ | 7,271 | Refactor context shift flag for infinite text generation comment | {
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This pull request includes a minor correction to a comment in the `llama/common.h` file. The change fixes a typo in the comment for the `ctx_shift` parameter.
* [`llama/common.h`](diffhunk://#diff-670d1015c5d0908848f1f635691ebcc8372dc9a337ca0e93ad02abb72df998e3L275-R275): Corrected a typo in the comment ... | {
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https://api.github.com/repos/ollama/ollama/issues/5460 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5460/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5460/comments | https://api.github.com/repos/ollama/ollama/issues/5460/events | https://github.com/ollama/ollama/issues/5460 | 2,388,518,933 | I_kwDOJ0Z1Ps6OXegV | 5,460 | custom model: error loading model: check_tensor_dims: tensor 'blk.0.ffn_norm.weight' not found | {
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} | null | null | null | ### What is the issue?
I recently trained a custom AI model using Google Colab with Alpaca and Unsloth. The training process was successful, but when attempting to run the model using Ollama, I encountered an error.
`C:\Users\Finn\Downloads>ollama run test2
Error: llama runner process has terminated: exit status ... | {
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https://api.github.com/repos/ollama/ollama/issues/1164 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1164/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1164/comments | https://api.github.com/repos/ollama/ollama/issues/1164/events | https://github.com/ollama/ollama/pull/1164 | 1,998,064,614 | PR_kwDOJ0Z1Ps5fseVd | 1,164 | update faq | {
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https://api.github.com/repos/ollama/ollama/issues/531 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/531/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/531/comments | https://api.github.com/repos/ollama/ollama/issues/531/events | https://github.com/ollama/ollama/pull/531 | 1,897,072,760 | PR_kwDOJ0Z1Ps5aXrGo | 531 | set request.ContentLength | {
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https://api.github.com/repos/ollama/ollama/issues/7052 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7052/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7052/comments | https://api.github.com/repos/ollama/ollama/issues/7052/events | https://github.com/ollama/ollama/issues/7052 | 2,557,928,701 | I_kwDOJ0Z1Ps6YduT9 | 7,052 | Capability checking does not consider custom templates | {
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} | null | null | null | ### What is the issue?
When sending a completion request to a model that supports FIM tasks - e.g Qwen 2.5 Coder 7B base - Ollama rejects the request because the "model does not support insert".
Passing `raw` with the necessary prompt format to the model does work for completion, so the issue is not with the model,... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7178 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7178/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7178/comments | https://api.github.com/repos/ollama/ollama/issues/7178/events | https://github.com/ollama/ollama/issues/7178 | 2,582,403,527 | I_kwDOJ0Z1Ps6Z7FnH | 7,178 | Qwen2.5-Math support | {
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} | null | null | null | Hi thanks for the library! It seems that ollama supports qwen2.5 and qwen2.5-coder, but not qwen2.5-math (a quick search only gives qwen2-math which is older model https://ollama.com/search?q=qwen2.5-math).
Related: https://github.com/ollama/ollama/issues/6916
Related: https://github.com/ollama/ollama/issues/6889 | {
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} | Distinguish tests by function, testing requests and error forwarding
captureRequestMiddleware catches the request after it has been converted by the functionality middleware, before hitting a mock endpoint returning 200
ResponseRecorder catches any errors that are returned in the response body immediately by the ... | {
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https://api.github.com/repos/ollama/ollama/issues/6073 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6073/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6073/comments | https://api.github.com/repos/ollama/ollama/issues/6073/events | https://github.com/ollama/ollama/issues/6073 | 2,437,787,400 | I_kwDOJ0Z1Ps6RTa8I | 6,073 | Model request: Llama3-Athene-70B | {
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} | null | null | null | It would be lovely to have the Llama3-based post-trained Athene-70b model available on Ollama! It is currently the highest-ranked open 70b model on the [LMSYS leaderboard](https://chat.lmsys.org/?leaderboard).
https://nexusflow.ai/blogs/athene
https://huggingface.co/Nexusflow/Athene-70B
Somebody also published a... | {
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https://api.github.com/repos/ollama/ollama/issues/4050 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4050/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4050/comments | https://api.github.com/repos/ollama/ollama/issues/4050/events | https://github.com/ollama/ollama/issues/4050 | 2,271,318,889 | I_kwDOJ0Z1Ps6HYZNp | 4,050 | Ollama after 30 minutes start to be very very slow to answer the questions | {
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} | null | null | null | ### What is the issue?
I've already tried with several different models, but the issue is always persisting, after ~30 minutes it keeps taking ages to answer to questions, even with saved models it happens. Is there anything that I can do? it's in fact a bug?
On the first 30 minutes it runs normally without any slow... | {
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https://api.github.com/repos/ollama/ollama/issues/3682 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3682/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3682/comments | https://api.github.com/repos/ollama/ollama/issues/3682/events | https://github.com/ollama/ollama/pull/3682 | 2,246,845,425 | PR_kwDOJ0Z1Ps5s2LF1 | 3,682 | quantize any fp16/fp32 model | {
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} | - FROM /path/to/{safetensors,pytorch}
- FROM /path/to/fp{16,32}.bin
- FROM model:fp{16,32} | {
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https://api.github.com/repos/ollama/ollama/issues/8241 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8241/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8241/comments | https://api.github.com/repos/ollama/ollama/issues/8241/events | https://github.com/ollama/ollama/issues/8241 | 2,758,807,838 | I_kwDOJ0Z1Ps6kcBEe | 8,241 | Option to show all models available from registry/library | {
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} | null | null | null | Currently, `ollama list` shows all the installed models. It would be very useful to be able to show all the available models from the registry/[model library](https://github.com/ollama/ollama?tab=readme-ov-file#model-library), which allow us to make model management app to install a model with GUI with one click. | null | {
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https://api.github.com/repos/ollama/ollama/issues/4452 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4452/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4452/comments | https://api.github.com/repos/ollama/ollama/issues/4452/events | https://github.com/ollama/ollama/pull/4452 | 2,297,736,217 | PR_kwDOJ0Z1Ps5vhfvd | 4,452 | follow naming convenstions | {
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https://api.github.com/repos/ollama/ollama/issues/7350 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7350/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7350/comments | https://api.github.com/repos/ollama/ollama/issues/7350/events | https://github.com/ollama/ollama/issues/7350 | 2,613,001,236 | I_kwDOJ0Z1Ps6bvzwU | 7,350 | Ollama keeps reloading the same model repeatedly | {
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} | null | null | null | ### What is the issue?
`docker run -d --gpus=all -v /data/ollama:/root/.ollama -p 9112:11434 -e OLLAMA_ORIGINS="*" -e OLLAMA_NUM_PARALLEL=15 -e OLLAMA_KEEP_ALIVE=2h -e OLLAMA_DEBUG=1 --name ollama_v0314 ollama/ollama:latest`
```
eleasing cuda driver library
time=2024-10-25T03:39:46.460Z level=DEBUG source=ser... | {
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https://api.github.com/repos/ollama/ollama/issues/7771 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7771/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7771/comments | https://api.github.com/repos/ollama/ollama/issues/7771/events | https://github.com/ollama/ollama/issues/7771 | 2,677,691,308 | I_kwDOJ0Z1Ps6fmlOs | 7,771 | CUDA error: unspecified launch failure： current device: 0, in function ggml_backend_cuda_synchronize at ggml-cuda.cu:2508 | {
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```
2024/11/21 01:22:08 routes.go:1189: INFO server config env="map[CUDA_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA_OVERRIDE_GFX_VERSION: HTTPS_PROXY: HTTP_PROXY: NO_PROXY: OLLAMA_DEBUG:false OLLAMA_FLASH_ATTENTION:false OLLAMA_GPU_OVERHEAD:0 OLLAMA_HOST:http://0.0.0.0:11434 ... | {
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https://api.github.com/repos/ollama/ollama/issues/8335 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8335/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8335/comments | https://api.github.com/repos/ollama/ollama/issues/8335/events | https://github.com/ollama/ollama/issues/8335 | 2,772,565,463 | I_kwDOJ0Z1Ps6lQf3X | 8,335 | Make flash attention configurable via UI or enable by default | {
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} | null | null | null | Hi, I love Ollama, excellent work. It makes using LLMs really beginner friendly, but does impose any limits on power usage.
I recently learned about flash attention and found out from reading the FAQ that Ollama supports this. As flash attention is important to support large contexts and can speed up models consider... | null | {
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https://api.github.com/repos/ollama/ollama/issues/472 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/472/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/472/comments | https://api.github.com/repos/ollama/ollama/issues/472/events | https://github.com/ollama/ollama/pull/472 | 1,882,888,686 | PR_kwDOJ0Z1Ps5Zn3qn | 472 | Added missing options params to the embeddings docs | {
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GGML_ASSERT: /go/src/github.com/ollama/ollama/llm/llama.cpp/src/llama.cpp:15147: false && "Deepseek2 does not support K-shift"
### OS
Linux, Windows
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.3.0 | null | {
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} | refactor layer creation
previous layer creation was not ideal because:
1. it required reading the input file multiple times, once to calculate the sha256 checksum, another to write it to disk, and potentially one more to decode the underlying gguf
2. used io.ReadSeeker which is prone to user error. if the file i... | {
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} | If user is installing Ollama for the first time/fresh install then Ollama server is started automatically. So when you try
```
ollama serve
```
then it throws error - 127.0.0.1:11434: bind: address already in use
So instead of running this command user can skip to running model
This PR patches the correspondi... | {
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- This makes it easier to determine which models are available to pull without leaving the command line world
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} | …Linux. The binary will detect and use the accelerated runtimes embedded in it. The build tags rocm or cuda must be specified to both go generate and go build. ROCm builds should have both ROCM_PATH set (and the ROCM SDK present) as well as CLBlast installed (for GGML) and CLBlast_DIR set in the environment to the CLBl... | {
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On Mac OS 13.4.1 and have been having some trouble downloading the larger models.
I get occasional "unexpected EOF" issues and sometimes when the model is fully downloaded it is detected as corrupted and must be downloaded again. Some of this seems to be to do with system sleep interrupting the download... | {
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Fixes https://github.com/ollama/ollama/issues/1118
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MACOS M2 Docker Compose Failing with GPU Selection Step
(LLAMA_CPP_ENV) akram_personal@AKRAMs-MacBook-Pro packet_raptor % docker-compose up
Attaching to packet_raptor, ollama-1, ollama-webui-1
Gracefully stopping... (press Ctrl+C again to force)
Error response from ... | {
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Reported by @oderwat:
https://github.com/ollama/ollama/issues/6972#issuecomment-2437586368
### OS
_No response_
### GPU
_No response_
### CPU
_No response_
### Ollama version
0.4.0 | {
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Basically, I was trying to run `ollama serve` in WSL 2 (setup was insanely quick and easy) and then access it on my local network.
However, when I trie... | {
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GPU: NVIDIA with 6GB memory
Description:
While switching between Mistral 7B and Codellama 7B, I noticed a decrease in GPU available memory for layers offloaded to the GPU. Upon investigation, I captured the following debug log:
```plaintext
time=2024-02-26T11:18:53.800+08:00 level=D... | {
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https://api.github.com/repos/ollama/ollama/issues/5704 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5704/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5704/comments | https://api.github.com/repos/ollama/ollama/issues/5704/events | https://github.com/ollama/ollama/pull/5704 | 2,408,997,782 | PR_kwDOJ0Z1Ps51ZqL9 | 5,704 | Add TensorSplit option to runners and API | {
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} | This pull request adds non-breaking functionality to Ollama function `NewLlamaServer` and adds a `TensorSplit` field to the `Runner` struct in `api/types.go`.
- Add option to pass a `tensor_split` in "options" object for generate api to manually define how tensors should be split with llama.cpp.
- Add conditional t... | null | {
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The `README.md` states that at least 16GB of RAM is required to run 7B models, which is met by my workstation specifications. | {
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I used OLLAMA_HOST=0.0.0.0:8080 (and attempted with other ports) and when I checked, the service was only on tcp6 which I'm currently unable to use.
### OS
Linux
### GPU
Nvidia
### CPU
Intel, AMD
### Ollama version
0.3.6 | {
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} | null | null | null | When using large models like Llama2:70b, the download files are quite big.
As a user with multiple local systems, having to `ollama pull` on every device means that much more bandwidth and time spent.
It would be great if we could download the model once and then export/import it to other ollama clients in the office... | null | {
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https://api.github.com/repos/ollama/ollama/issues/419 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/419/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/419/comments | https://api.github.com/repos/ollama/ollama/issues/419/events | https://github.com/ollama/ollama/issues/419 | 1,868,085,325 | I_kwDOJ0Z1Ps5vWLhN | 419 | ?allow for model files to be located in a different location than ~/.ollama? | {
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"total": 0,
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https://api.github.com/repos/ollama/ollama/issues/6253 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6253/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6253/comments | https://api.github.com/repos/ollama/ollama/issues/6253/events | https://github.com/ollama/ollama/issues/6253 | 2,454,875,827 | I_kwDOJ0Z1Ps6SUm6z | 6,253 | When systemMessage exceeds a certain length, ollama is unable to process it. | {
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"followers_url": "https://api.g... | null | 5 | 2024-08-08T05:02:55 | 2024-09-02T23:14:38 | 2024-09-02T23:14:37 | NONE | {
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} | null | null | null | ### What is the issue?
<img width="1250" alt="截屏2024-08-08 11 28 37" src="https://github.com/user-attachments/assets/49e8c26e-ef09-4f4a-b06b-7e24801c2f69">
when system message exceeds a certain length(4096 likely), Ollama returns "It seems like you're sharing some information, but it's not in a readable format. Could... | {
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https://api.github.com/repos/ollama/ollama/issues/438 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/438/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/438/comments | https://api.github.com/repos/ollama/ollama/issues/438/events | https://github.com/ollama/ollama/issues/438 | 1,870,669,000 | I_kwDOJ0Z1Ps5vgCTI | 438 | Document Wolfi package? | {
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I noticed it says there are no official downloads for Linux yet - would you be open to documenting the official Wolfi Linux package? You can see how it's packaged here: https://github.com/wolfi-dev/os/blob/main/ollama.yaml
You can install it with:
```
docker run -it cgr.dev/chainguard/wolfi-base sh
apk ... | {
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https://api.github.com/repos/ollama/ollama/issues/2118 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2118/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2118/comments | https://api.github.com/repos/ollama/ollama/issues/2118/events | https://github.com/ollama/ollama/issues/2118 | 2,092,399,782 | I_kwDOJ0Z1Ps58t3ym | 2,118 | Unable to Download Models Due to Malformed Manifests | {
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```
pulling manifest
Error: pull model manifest: Get "https://registry.ollama.ai/v2/library/co... | {
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https://api.github.com/repos/ollama/ollama/issues/8460 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8460/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8460/comments | https://api.github.com/repos/ollama/ollama/issues/8460/events | https://github.com/ollama/ollama/issues/8460 | 2,793,789,463 | I_kwDOJ0Z1Ps6mhdgX | 8,460 | Llama-3_1-Nemotron-51B-Instruct | {
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https://huggingface.co/bartowski/Llama-3_1-Nemotron-51B-Instruct-GGUF | null | {
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https://api.github.com/repos/ollama/ollama/issues/8607 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8607/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8607/comments | https://api.github.com/repos/ollama/ollama/issues/8607/events | https://github.com/ollama/ollama/issues/8607 | 2,812,661,670 | I_kwDOJ0Z1Ps6npc-m | 8,607 | Add an ability to inject env variables to modelfile system message. | {
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} | null | null | null | Hi All.
I`ve realized that that there is no way to make ollama models to know current date and time if it runs on ms windows. So I believe that would be useful if there would be possibility to use OS variables in the modelfile. Especially for date and time it would be better if model could obtain that data dynamically,... | null | {
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https://api.github.com/repos/ollama/ollama/issues/4884 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4884/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4884/comments | https://api.github.com/repos/ollama/ollama/issues/4884/events | https://github.com/ollama/ollama/issues/4884 | 2,339,277,556 | I_kwDOJ0Z1Ps6Lbor0 | 4,884 | No proper response when IPEX-LLM setup with Ollama for intel cpu/gpu | {
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After setup of IPEX-LLM to work with ollama I see that output is wrong.
Example:
```
❯ ./ollama run phi3
>>> hi
<s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s><s>
```
Maybe I had setup something wrong...
When I serve ollama I have such log... | null | {
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https://api.github.com/repos/ollama/ollama/issues/3351 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3351/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3351/comments | https://api.github.com/repos/ollama/ollama/issues/3351/events | https://github.com/ollama/ollama/pull/3351 | 2,206,799,914 | PR_kwDOJ0Z1Ps5qtsps | 3,351 | Add license in file header for vendored llama.cpp code | {
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https://api.github.com/repos/ollama/ollama/issues/7892 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7892/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7892/comments | https://api.github.com/repos/ollama/ollama/issues/7892/events | https://github.com/ollama/ollama/issues/7892 | 2,707,110,889 | I_kwDOJ0Z1Ps6hWzvp | 7,892 | After the deployment of ollama, it can only be accessed through 127.0.0.1 and cannot be accessed through IP | {
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OS: Ubuntu
Download and install
curl -fsSL https://ollama.com/install.sh | OLLAMA_VERSION=0.4.6 sh
Edit service file
sudo vim /etc/systemd/system/ollama.service
[Unit]
Description=Ollama Service
After=network-online.target
[Service]
ExecStart=/usr/local/bin/ollama serve
User=ollama
Grou... | {
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} | Modernization of https://github.com/jmorganca/ollama/pull/661
- ~Closes https://github.com/jmorganca/ollama/issues/538~
- Upstreams more knowledge from https://github.com/jmorganca/ollama/issues/546
- Simplifies `brew install` to one line | {
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I'm using ollama 0.1.26 to run llava:7b-v1.6 on WSL on Windows (Ubuntu 22.04.3 LTS).
It works just fine as long as I just use textual prompts, but as soon as I go multimodal and pass an image as well ollama crashes with this message:
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time=2024-02-23T09:49:45.496+01:00 level=INFO source=dyn_ext_server.go:1... | {
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_No response_ | null | {
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https://api.github.com/repos/ollama/ollama/issues/4302 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4302/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4302/comments | https://api.github.com/repos/ollama/ollama/issues/4302/events | https://github.com/ollama/ollama/pull/4302 | 2,288,543,597 | PR_kwDOJ0Z1Ps5vCTQ1 | 4,302 | only forward some env vars | {
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} | only forward select env vars which prevents 1) logging and 2) the subprocess inheriting irrelevant, possibly sensitive, vars | {
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https://api.github.com/repos/ollama/ollama/issues/3591 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3591/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3591/comments | https://api.github.com/repos/ollama/ollama/issues/3591/events | https://github.com/ollama/ollama/pull/3591 | 2,237,320,424 | PR_kwDOJ0Z1Ps5sVqs_ | 3,591 | examples: Update langchain-python-simple | {
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} | * remove deprecated predict command, use invoke instead
* improve input handling | {
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"You're a German language instructor, I'm an Anglophone, help me learn German."
With most LLM drivers (ChatGPT/Ollama/etc) these instructions will fall out of th... | {
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} | null | null | null | Currently, the /chat endpoint includes the images field, but it only supports a single image. While this is functional, it introduces an additional layer of complexity when performing RAG with images embedded in base64.
For instance, if the content retriever returns multiple embeddings with the highest scores referenc... | null | {
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still I'm getting with the latest ollama docker
> Hi folks this should be fixed now - please let me know if that's not the case
@jmorganca
only with the llama/ollama:0.1.32 version it works,
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```
curl -fsSL https://ollama.com/install.sh | sh
bash: ./shell.sh: No such file or directory
curl: (23) Failed writing body (1349 != 1378)
```
========
the curl command is from ollama's download page.
I solved it by downloading /install.sh, making it executable and run it.
### OS
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https://api.github.com/repos/ollama/ollama/issues/2878 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2878/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2878/comments | https://api.github.com/repos/ollama/ollama/issues/2878/events | https://github.com/ollama/ollama/pull/2878 | 2,164,826,251 | PR_kwDOJ0Z1Ps5ofBUF | 2,878 | api: start adding documentation to package api | {
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} | Updates #2840
This is an initial PR just to double check that I'm heading in the right direction. If it looks good, I can update it (or send separate ones) to fill up the whole documentation for the `api` package. | {
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https://api.github.com/repos/ollama/ollama/issues/7600 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7600/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7600/comments | https://api.github.com/repos/ollama/ollama/issues/7600/events | https://github.com/ollama/ollama/issues/7600 | 2,647,312,984 | I_kwDOJ0Z1Ps6dyspY | 7,600 | `/save` overwrites everything including system and template and previous messages | {
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the `/save` command overwrites everything and only includes the current context, any previously saved data is lost including the system and template
to recreate
```shell
ollama create model -f customtemplate.modelfile
ollama run model
>>> /set system you are an assistant
>>> how are ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/306 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/306/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/306/comments | https://api.github.com/repos/ollama/ollama/issues/306/events | https://github.com/ollama/ollama/pull/306 | 1,840,328,464 | PR_kwDOJ0Z1Ps5XYby9 | 306 | automatically set num_keep if num_keep < 0 | {
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} | num_keep defines how many tokens to keep in the context when truncating inputs. if left to its default value of -1, the server will calculate num_keep to be the left of the system instructions
resolves #299 | {
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https://api.github.com/repos/ollama/ollama/issues/5637 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5637/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5637/comments | https://api.github.com/repos/ollama/ollama/issues/5637/events | https://github.com/ollama/ollama/pull/5637 | 2,404,030,923 | PR_kwDOJ0Z1Ps51JEVc | 5,637 | llm: avoid loading model if system memory is too small | {
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https://api.github.com/repos/ollama/ollama/issues/5132 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5132/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5132/comments | https://api.github.com/repos/ollama/ollama/issues/5132/events | https://github.com/ollama/ollama/issues/5132 | 2,361,175,255 | I_kwDOJ0Z1Ps6MvKzX | 5,132 | CANNOT DOWNLOAD MODELS | {
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Recently, when I use 'ollama run' to download models, I cannot download anything with the bug following.
Im from China, I cannot download either with the local Internet or with a VPN... | {
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https://api.github.com/repos/ollama/ollama/issues/3527 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3527/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3527/comments | https://api.github.com/repos/ollama/ollama/issues/3527/events | https://github.com/ollama/ollama/issues/3527 | 2,229,893,144 | I_kwDOJ0Z1Ps6E6XgY | 3,527 | Ollama conflict with amdgpu driver on Debian | {
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I notice that my Debian fails after the first suspend, it can't suspend again because the amdgpu driver has a kernel exception. Researching that, I found the Ollama service can't stop and also it produces this behavior. My current workaround is disable the systemd ollama service in the boot, w... | {
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https://api.github.com/repos/ollama/ollama/issues/3710 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3710/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3710/comments | https://api.github.com/repos/ollama/ollama/issues/3710/events | https://github.com/ollama/ollama/pull/3710 | 2,249,201,612 | PR_kwDOJ0Z1Ps5s-NFn | 3,710 | update jetson tutorial | {
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https://api.github.com/repos/ollama/ollama/issues/4390 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4390/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4390/comments | https://api.github.com/repos/ollama/ollama/issues/4390/events | https://github.com/ollama/ollama/issues/4390 | 2,291,969,108 | I_kwDOJ0Z1Ps6InKxU | 4,390 | Feature Request: Customizable JSON Encoder/Decoder Configuration for REST API Endpoints or other that might need | {
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Since this repository is written in Go, it is possible to customize the `JSON encoding/decoding` configuration for `REST API endpoints`.
However, it may require refactoring from scratch since there are many `hard-coded` instances of `JSON` using the `standard library`.
## Proposed Feature
The... | null | {
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https://api.github.com/repos/ollama/ollama/issues/2752 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2752/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2752/comments | https://api.github.com/repos/ollama/ollama/issues/2752/events | https://github.com/ollama/ollama/issues/2752 | 2,152,976,820 | I_kwDOJ0Z1Ps6AU9G0 | 2,752 | CUDA error: out of memory | {
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ollama version is 0.1.27
windows 11 wsl2 ubuntu 22.04
RTX 4070 TI
Running a set of tests with each test loading a different model using ollama.
It takes some time during testing we ran into the CUDA error: out of memory 3 times.
Note each of the models being loaded is less than 10 GB... | {
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https://api.github.com/repos/ollama/ollama/issues/4769 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4769/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4769/comments | https://api.github.com/repos/ollama/ollama/issues/4769/events | https://github.com/ollama/ollama/issues/4769 | 2,329,291,838 | I_kwDOJ0Z1Ps6K1iw- | 4,769 | Infinetely generating irrelavent response when running phi3-mini in Linux Terminal | {
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I setted up a modelFile that loads PHI-3-mini-instruct, and whatever input I give it it starts to generate infinite response related to coding as shown in the screenshot.
Here is the Content of the model file:
```
FROM ./Phi-3-mini-4k-instruct.Q4_0.gguf
PARAMETER temperature 0.1
PARAMETER n... | null | {
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https://api.github.com/repos/ollama/ollama/issues/6279 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6279/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6279/comments | https://api.github.com/repos/ollama/ollama/issues/6279/events | https://github.com/ollama/ollama/pull/6279 | 2,457,284,038 | PR_kwDOJ0Z1Ps536jVv | 6,279 | feat: Introduce K/V Context Quantisation (vRAM improvements) | {
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} | This PR introduces optional K/V (context) cache quantisation.
> TLDR; Set your k/v cache to Q8_0 and use 50% less vRAM for no noticeable quality impact.
Ollama is arguably the only remaining the popular model server to not support this.
This PR brings Ollama's K/V memory usage inline with likes of ExLlamav2, M... | {
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https://api.github.com/repos/ollama/ollama/issues/2942 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2942/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2942/comments | https://api.github.com/repos/ollama/ollama/issues/2942/events | https://github.com/ollama/ollama/pull/2942 | 2,170,198,208 | PR_kwDOJ0Z1Ps5oxQ-k | 2,942 | [FEAT] Add `init` command | {
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If the file already exists, it will ask for confirmation before overwriting it. | {
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https://api.github.com/repos/ollama/ollama/issues/4914 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4914/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4914/comments | https://api.github.com/repos/ollama/ollama/issues/4914/events | https://github.com/ollama/ollama/issues/4914 | 2,340,874,859 | I_kwDOJ0Z1Ps6Lhupr | 4,914 | Request Ollama Web API to fetch all models data in the remote | {
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---
I am developing a Ollama CLI. I currently use the data scraped from ollama website. If this API available, I can just request data using official API.
This is the demo:
https://www.x-cmd.com/mod/ollama
<img width="1494" al... | {
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https://api.github.com/repos/ollama/ollama/issues/400 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/400/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/400/comments | https://api.github.com/repos/ollama/ollama/issues/400/events | https://github.com/ollama/ollama/pull/400 | 1,862,304,627 | PR_kwDOJ0Z1Ps5Yi0A6 | 400 | wip: decode gguf | {
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https://api.github.com/repos/ollama/ollama/issues/615 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/615/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/615/comments | https://api.github.com/repos/ollama/ollama/issues/615/events | https://github.com/ollama/ollama/pull/615 | 1,914,581,798 | PR_kwDOJ0Z1Ps5bSd8Q | 615 | add `ollama run` flags: template, context, stop | {
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} | These new `ollama run` flags make `ollama run` useful for debugging more advanced invocations of the Ollama generate API.
For example, the following command generates completions with context tokens for `const primes=[1,2,3,5,7`, a stop sequence (`;`), and a custom template:
```
ollama run --verbose --context 3075,54... | {
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https://api.github.com/repos/ollama/ollama/issues/4148 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4148/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4148/comments | https://api.github.com/repos/ollama/ollama/issues/4148/events | https://github.com/ollama/ollama/issues/4148 | 2,278,721,519 | I_kwDOJ0Z1Ps6H0ofv | 4,148 | Importing a Mistral finetune into Ollama fails with `invalid file magic` | {
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Importing a custom Mistral-7B finetune into Ollama from safetensors fails with `invalid file magic`. Converting the same safetensors to gguf with llama.cpp works on import.
Steps to reproduce:
- Finetune Mistral with MLX, fuse the lora to the model to get the resulting safetensors.
- Create... | null | {
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https://api.github.com/repos/ollama/ollama/issues/2151 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2151/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2151/comments | https://api.github.com/repos/ollama/ollama/issues/2151/events | https://github.com/ollama/ollama/issues/2151 | 2,095,079,810 | I_kwDOJ0Z1Ps584GGC | 2,151 | Layer splitting on macOS | {
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https://api.github.com/repos/ollama/ollama/issues/7458 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7458/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7458/comments | https://api.github.com/repos/ollama/ollama/issues/7458/events | https://github.com/ollama/ollama/issues/7458 | 2,627,875,374 | I_kwDOJ0Z1Ps6cojIu | 7,458 | mistake:ollama run llama3_8b_chat_uncensored_q4_0 | {
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Why is this happening? I've successfully converted it to Ollama format using the ollama create llama3_8b_chat_uncensored_q4_0 -f Modelfile command and successfully loaded and run it with the ollama run command, but why is it answering such an unreasonable nonsense? Is this GUFF model incompatibl... | {
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https://api.github.com/repos/ollama/ollama/issues/2463 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2463/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2463/comments | https://api.github.com/repos/ollama/ollama/issues/2463/events | https://github.com/ollama/ollama/issues/2463 | 2,130,246,460 | I_kwDOJ0Z1Ps5--Ps8 | 2,463 | Resume does not seem to work | {
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`ollama pull nous-hermes2-mixtral:8x7b-dpo-q8_0` | {
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https://api.github.com/repos/ollama/ollama/issues/1632 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1632/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1632/comments | https://api.github.com/repos/ollama/ollama/issues/1632/events | https://github.com/ollama/ollama/issues/1632 | 2,050,719,207 | I_kwDOJ0Z1Ps56O33n | 1,632 | Only utilizing one thread - Unraid | {
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Right now I am using Ollama 0.1.17 in an Unraid environment. The app works great, but it's only utilizing one thread. I did some light troubleshooting by adding the "num_thread" parameter to the modelfile as shown below, but it still only utilizes one thread. I've checked this by looking at the dashboard in ... | {
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https://api.github.com/repos/ollama/ollama/issues/371 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/371/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/371/comments | https://api.github.com/repos/ollama/ollama/issues/371/events | https://github.com/ollama/ollama/issues/371 | 1,855,464,365 | I_kwDOJ0Z1Ps5umCOt | 371 | Strip `https://` from model in `ollama run <model>` | {
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} | null | null | null | Users may prefix the model name with `https://` and we should accept it and strip it out.
For example:
```
ollama run https://ollama.ai/m/wb
```
Should be equivalent to
```
ollama run ollama.ai/m/wb
``` | {
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https://api.github.com/repos/ollama/ollama/issues/3878 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3878/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3878/comments | https://api.github.com/repos/ollama/ollama/issues/3878/events | https://github.com/ollama/ollama/issues/3878 | 2,261,502,860 | I_kwDOJ0Z1Ps6Gy8uM | 3,878 | Simple guide for using/uploading custom models from Windows onto Ollama. | {
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} | null | null | null | Ollama is fantastic, however until now i've been dependant on models that are already on the website.. There are many models from hugging face that I wanna use with Ollama (since Ollama is highly optimized and larger models run better on my computer using it). However, there are literally zero guides online about how t... | null | {
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https://api.github.com/repos/ollama/ollama/issues/7273 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7273/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7273/comments | https://api.github.com/repos/ollama/ollama/issues/7273/events | https://github.com/ollama/ollama/pull/7273 | 2,599,542,799 | PR_kwDOJ0Z1Ps5_MIoP | 7,273 | server: allow vscode-webview origins | {
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https://api.github.com/repos/ollama/ollama/issues/6997 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6997/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6997/comments | https://api.github.com/repos/ollama/ollama/issues/6997/events | https://github.com/ollama/ollama/issues/6997 | 2,552,121,384 | I_kwDOJ0Z1Ps6YHkgo | 6,997 | CUDA error: device kernel image is invalid - CC 7.5 | {
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} | null | null | null | ### What is the issue?
Hello, I would like to apologize for my poor English (I am using a translator from another language). Could you please help me?
I had a problem with Ollama. As always, I tried to run it with the command "Ollama ru llama3.1:8b," but then an error occurred: "Error: llama runner process has term... | {
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