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} | This PR fixes a large number of crashes and "out of memory" errors related to VRAM allocation, by using a more accurate estimation of how much memory is required to run a model with a given context size.
Models such as `mixtral` will now run on lower end hardware that would previously before, even if defaulting to t... | {
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https://api.github.com/repos/ollama/ollama/issues/660 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/660/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/660/comments | https://api.github.com/repos/ollama/ollama/issues/660/events | https://github.com/ollama/ollama/issues/660 | 1,920,410,789 | I_kwDOJ0Z1Ps5ydySl | 660 | Request: Docker image build having name/tag | {
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```bash
> sudo docker image ls
REPOSITORY TAG IMAGE ID CREATED SIZE
<none> <none> acfffae34e3a About a minute ago 824MB
```
Running `docker image ls`, there is no info about t... | {
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Eventually when using deepseek-coder-v2:16b-lite-instruct-q8_0 and Open Web UI (but also other means like for example continuedev) the model will stop working and spout GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG regardless of the input:
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} | - increase start-up timeout
- when runner fails to start fail rather than timing out
- try runners in order rather than choosing 1 runner
- embed metal runner in metal dir rather than gpu
- refactor logging and error messages
resolves #485 | {
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I am sucessfully running llama3.1 model locally in command prompt but when i try to access it via api it keeps giving 404 not found to me
curl --location --request GET 'http://localhost:11434/v1/chat/completions' \
--header 'Content-Type: application/json' \
--data '{
"model": "lla... | {
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} | null | null | null | ### What is the issue?
I'm trying to develop an agent that analyzes images using llama3.2 11b.
Development environment:
os: window11 pro
cpu: intel i9-14900K
ram: 32G
vga: rtx 4080 super
Releases v0.3.14 When I install ollama and run
ollama run x/llama3.2-vision,
the installation goes well, but it terminat... | {
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Issue: Although the log shows the n_ctx = 102400, the input prompt still truncates to 2048.
Ollama version: 0.2.1
OS: AWS Linux, instance type: g5.xlarge,
GPU: Nvidia A10 24G GPU, version 12.x
Model: Qwen2-7B-Instruct, GGUF V3
Ollama server log:
```
Device 0: NVIDIA A10G, compute c... | {
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Does Ollama currently plan to support multiple acceleration frameworks?
We understand that Ollama currently leverages Llama.cpp for inference acceleration, which supports only the Llama architecture. The GLM has made some modifications to the model.
We are very keen on seeing the GLM ecosystem ... | {
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https://api.github.com/repos/ollama/ollama/issues/7231 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7231/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7231/comments | https://api.github.com/repos/ollama/ollama/issues/7231/events | https://github.com/ollama/ollama/pull/7231 | 2,593,186,089 | PR_kwDOJ0Z1Ps5-5QU1 | 7,231 | fix: consider any status code as redirect | {
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This PR resolve:
- If 200 is return on the same host, just return the current url
- Consider any 3xx as a redirect url | null | {
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https://api.github.com/repos/ollama/ollama/issues/3987 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3987/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3987/comments | https://api.github.com/repos/ollama/ollama/issues/3987/events | https://github.com/ollama/ollama/issues/3987 | 2,267,308,728 | I_kwDOJ0Z1Ps6HJGK4 | 3,987 | Increase the number of CPU usage for ollama_llama_se in linux | {
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```
Apr 17 01:25:09 ai-pc ollama[56169]: time=2024-04-17T01:25:09.106+04:00 level=INFO source=gpu.go:121 msg="Detecting GPU type"
Apr 17 01:25:09 ai-pc ollama[56169]: time=2024-04-17T01:25:09.106+04:00 level=INFO source=gpu.go:268 msg="Searching for GPU management library libcudart.so*"
Apr... | {
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Hi,
I just upgraded my ollama setup manually, by running the install script again, as [specified](https://github.com/ollama/ollama/blob/main/docs/faq.md#how-can-i-upgrade-ollama), but I also lost all my models, the ones pulled, the ones built, all are gone.
I supposed that's not the desire... | {
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## Environment
- **Ollama Version**: 0.1.45
- **Operating System**: Win10
- **GPU Type**: NVIDIA RTX 3090, GTX 1080Ti
## Issue Description
I am experiencing an issue with VRAM utilization in Ollama 0.1.45. When using the codestral example to split models across different CUDA devices ... | {
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https://api.github.com/repos/ollama/ollama/issues/3011 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3011/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3011/comments | https://api.github.com/repos/ollama/ollama/issues/3011/events | https://github.com/ollama/ollama/issues/3011 | 2,176,669,801 | I_kwDOJ0Z1Ps6BvVhp | 3,011 | Starcoder2 crashes latest ollama container | {
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Comamnd run: `ollama run starcoder2`
Tried with both docker and podman and same thing happens with either.
Error:
```go
time=2024-03-08T19:33:43.460Z level=INFO source=cpu_common.go:11 msg="CPU has AVX2"
time=2024-03-08T19:33:43.460Z level=INFO source=cpu_common.go:11 msg="CPU has AVX... | {
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https://api.github.com/repos/ollama/ollama/issues/7185 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7185/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7185/comments | https://api.github.com/repos/ollama/ollama/issues/7185/events | https://github.com/ollama/ollama/issues/7185 | 2,583,207,847 | I_kwDOJ0Z1Ps6Z-J-n | 7,185 | [Feature Request] Command to browse the model library / search for a specific model from the ollama CLI. | {
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I'm imagining something like `ollama search llama3` and `ollama browse`.
For example, the search would return like (rough example, GitHub formatting kinda broke it and I don't know how to fix it):
MO... | {
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https://api.github.com/repos/ollama/ollama/issues/4931 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4931/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4931/comments | https://api.github.com/repos/ollama/ollama/issues/4931/events | https://github.com/ollama/ollama/issues/4931 | 2,341,634,421 | I_kwDOJ0Z1Ps6LkoF1 | 4,931 | Release Note Issue | {
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https://api.github.com/repos/ollama/ollama/issues/2295 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2295/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2295/comments | https://api.github.com/repos/ollama/ollama/issues/2295/events | https://github.com/ollama/ollama/issues/2295 | 2,111,185,400 | I_kwDOJ0Z1Ps591iH4 | 2,295 | multimodal processing doesn't work for one-shot CLI | {
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"followers_url": "https://api.g... | null | 1 | 2024-01-31T23:50:32 | 2024-02-02T05:33:07 | 2024-02-02T05:33:07 | COLLABORATOR | {
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```
% ollama run llava "whats in this image ./image.jpg"
I'm sorry, but as a text-based AI language model, I am not able to directly view or interpret images. However, if the image is related to
the topic of data science or machine learning, it could potentially be something like a dataset, a vi... | {
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https://api.github.com/repos/ollama/ollama/issues/7685 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7685/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7685/comments | https://api.github.com/repos/ollama/ollama/issues/7685/events | https://github.com/ollama/ollama/issues/7685 | 2,661,647,183 | I_kwDOJ0Z1Ps6epYNP | 7,685 | Streaming chat/completions behind a gateway with timeout | {
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So far, enabling streaming on chat/completions has been an efficient workaround, as streaming chunks of gener... | {
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https://api.github.com/repos/ollama/ollama/issues/5839 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5839/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5839/comments | https://api.github.com/repos/ollama/ollama/issues/5839/events | https://github.com/ollama/ollama/issues/5839 | 2,421,807,379 | I_kwDOJ0Z1Ps6QWdkT | 5,839 | CUDA error: CUBLAS_STATUS_NOT_INITIALIZED | {
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} | null | null | null | ### What is the issue?
error msg：
CUDA error: CUBLAS_STATUS_NOT_INITIALIZED
current device: 0, in function cublas_handle at /go/src/github.com/ollama/ollama/llm/llama.cpp/ggml/src/ggml-cuda/common.cuh:826
cublasCreate_v2(&cublas_handles[device])
model：qwen2-sft，use llama.cpp/convert_hf_to_gguf.py transfer to... | {
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https://api.github.com/repos/ollama/ollama/issues/1758 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1758/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1758/comments | https://api.github.com/repos/ollama/ollama/issues/1758/events | https://github.com/ollama/ollama/issues/1758 | 2,061,960,258 | I_kwDOJ0Z1Ps565wRC | 1,758 | 💡 "ollama --verify" to validate a model | {
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Sometimes, me may only need to validate than we can compile a model with `ollama`...without having to download the whole base model.
**👉 In a few words, this would help telling, very fast and very easily is a `ollama` modelfile could be used. 👈**
# 💡 Feature request
Implement `ollama --verify... | {
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https://api.github.com/repos/ollama/ollama/issues/2483 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2483/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2483/comments | https://api.github.com/repos/ollama/ollama/issues/2483/events | https://github.com/ollama/ollama/pull/2483 | 2,133,357,614 | PR_kwDOJ0Z1Ps5mzpiS | 2,483 | update default registry domain | {
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migrate models by moving models to their new location. this is one directional | null | {
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https://api.github.com/repos/ollama/ollama/issues/6859 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6859/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6859/comments | https://api.github.com/repos/ollama/ollama/issues/6859/events | https://github.com/ollama/ollama/issues/6859 | 2,534,379,222 | I_kwDOJ0Z1Ps6XD47W | 6,859 | Something got changed in the build process and I seem unable to force CUDA/CUBLAS use. | {
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How do I ensure that ollama is built with CUDA/CUBLAS support?
I don't see anything in the README.md to that end.
### OS
Linux
### GPU
Nvidia
### CPU
Intel
### Ollama version
just built from source just now. | {
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The Chinese content is the correct response from the LLM. Not an error message.
### OS
Windows
### Ollama version
0.3.4 | {
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https://api.github.com/repos/ollama/ollama/issues/498 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/498/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/498/comments | https://api.github.com/repos/ollama/ollama/issues/498/events | https://github.com/ollama/ollama/issues/498 | 1,888,084,370 | I_kwDOJ0Z1Ps5wieGS | 498 | SSL certificate error. | {
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Just installed Ollama on my brand new MacBook. When trying to pull a model it seems there is a certificate error on the model registry:
```
ollama pull llama2
pulling manifest
Error: pull model manifest: Get "https://registry.ollama.ai/v2/library/llama2/manifests/latest": tls: failed to verify certificate: ... | {
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https://api.github.com/repos/ollama/ollama/issues/5385 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5385/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5385/comments | https://api.github.com/repos/ollama/ollama/issues/5385/events | https://github.com/ollama/ollama/issues/5385 | 2,381,908,177 | I_kwDOJ0Z1Ps6N-QjR | 5,385 | Provide a single command for "serve + pull model", to be used in CI/CD | {
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The issue is that today, Ollama requires `ollama serve` bef... | null | {
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https://api.github.com/repos/ollama/ollama/issues/5051 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5051/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5051/comments | https://api.github.com/repos/ollama/ollama/issues/5051/events | https://github.com/ollama/ollama/pull/5051 | 2,354,141,159 | PR_kwDOJ0Z1Ps5yhhWO | 5,051 | add model capabilities | {
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} | detect completion capability by looking at model KVs. with this change, ollama correctly detects a model like [jina/jina-embeddings-v2-small-en](https://ollama.com/jina/jina-embeddings-v2-small-en) is an embedding model (as opposed to a text completion model) | {
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https://api.github.com/repos/ollama/ollama/issues/7226 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7226/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7226/comments | https://api.github.com/repos/ollama/ollama/issues/7226/events | https://github.com/ollama/ollama/issues/7226 | 2,592,038,509 | I_kwDOJ0Z1Ps6af15t | 7,226 | Library tags not present in model information - RFC | {
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} | null | null | null | Today, I was using a third party software along Ollma (Msty). That program has support for text and vision models. As I was trying MiniCPM-V, a vision model, it was not detected by the program. Somehow I assumed that the Vision tag present on the library would be also present in the Model information. But that does not... | null | {
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https://api.github.com/repos/ollama/ollama/issues/4398 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4398/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4398/comments | https://api.github.com/repos/ollama/ollama/issues/4398/events | https://github.com/ollama/ollama/issues/4398 | 2,292,426,426 | I_kwDOJ0Z1Ps6Io6a6 | 4,398 | KeyError: 'name' when using completions with tool use in mistral | {
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I am running Ollama + Litellm with Autogen.
When I try it, I keep getting the error below
```
Traceback (most recent call last):
File "/Users/pranavprakash/workspace/litellm/venv/lib/python3.11/site-packages/litellm/llms/ollama_chat.py", line 422, in ollama_acompletion
"function"... | {
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https://api.github.com/repos/ollama/ollama/issues/6589 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6589/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6589/comments | https://api.github.com/repos/ollama/ollama/issues/6589/events | https://github.com/ollama/ollama/issues/6589 | 2,500,132,754 | I_kwDOJ0Z1Ps6VBP-S | 6,589 | Can this be used with "LM Studio" to share models? If so, how can it be modified? | {
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} | null | null | null | I am currently using two UI systems, but they cannot share models (possibly due to differences in how the models are identified and created). Even after modifying the environment variables, both UIs cannot use models from the same path. Is there anyone who can guide me on how to modify the two UIs so they can use model... | {
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https://api.github.com/repos/ollama/ollama/issues/4448 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4448/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4448/comments | https://api.github.com/repos/ollama/ollama/issues/4448/events | https://github.com/ollama/ollama/issues/4448 | 2,297,242,533 | I_kwDOJ0Z1Ps6I7SOl | 4,448 | Streaming Chat Completion via OpenAI API should support stream option to include Usage | {
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Then the final chunks will look like this:
```
...
data: {"id":"chatcmpl-9P4UJf7DEdyXVro2VOMRMT9qKR0bC","object":"chat.completion.chunk","cre... | null | {
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https://api.github.com/repos/ollama/ollama/issues/4706 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4706/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4706/comments | https://api.github.com/repos/ollama/ollama/issues/4706/events | https://github.com/ollama/ollama/issues/4706 | 2,323,719,550 | I_kwDOJ0Z1Ps6KgSV- | 4,706 | 22B Codestral model | {
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https://mistral.ai/news/codestral/ | {
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https://api.github.com/repos/ollama/ollama/issues/1919 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1919/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1919/comments | https://api.github.com/repos/ollama/ollama/issues/1919/events | https://github.com/ollama/ollama/issues/1919 | 2,076,033,030 | I_kwDOJ0Z1Ps57vcAG | 1,919 | create model, not meeting the performance requirements of the gguf | {
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i convert baichuan2 to gguf and create a model,
The result is poor performance，do I need to configure anything else
modelfile:
FROM ./baichuan2-ggml-model-f16.gguf
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https://api.github.com/repos/ollama/ollama/issues/8410 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8410/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8410/comments | https://api.github.com/repos/ollama/ollama/issues/8410/events | https://github.com/ollama/ollama/pull/8410 | 2,785,995,103 | PR_kwDOJ0Z1Ps6HpLv_ | 8,410 | sample: add sampling package for new engine | {
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} | This package introduces a first pass at the sampler for the new engine.
It's super simple to write your own sampler, people would be able to build and run their own as well from source.
Would like your thoughts on the following:
- Go-isms! Please help with writing idiomatic go.
- Should we keep min-p? openai do... | null | {
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I have 2 gpus each having 40 gb of memory and i want to run llama3.1 70b using these GPUs, are there any features to run ollama on distributed way | {
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Hello, I have my ollama with enough memory (16vram), I use OLLAMA_NUM_PARALLEL=2 OLLAMA_MAX_LOADED_MODELS=2, but I don't see any memory increase.
I use docker-compose to make work, however when using the api, it does not increase the vram, it stays using the same vram and I still have 10gb vram... | null | {
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Not been able to install new models like llama3.2 or llama 3.3
error message shown like
"Error: max retries exceeded: Get"https://dd20bb891979d25aebc8bec07b2b3bbc.r2.cloudflarestorage.com/ollama/docker/registry/v2/blobs/sha256/dd/dde5aa3fc5ffc17176b5e8bdc82f587b24b2678c6c66101bf7da77af9f7ccdf... | {
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```
ollama run orca
Error: Post "http://127.0.0.1:11434/api/pull": net/http: HTTP/1.x transport connection broken: malformed HTTP response "{\"total\":2142590208,\"completed\":2142590208,\"percent\":100}"
``` | {
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llama.cpp has it supported already.
- Currently ollama fails to load the model due to a bug in llama.cpp. Here's the fix PR: https://github.com/ggerganov/llama.cpp/pull/9907
- Another issue is the chat template. I wonder how should a chat template b... | null | {
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> [2024.05.24] We release the [MiniCPM-Llama3-V 2.5 gguf](https://huggingface.co/openbmb/MiniCPM-Llama3-V-2_5-gguf), which supports [llama.cpp](https://github.com/OpenBMB/MiniCPM-V#inference-with-llamacpp) inference and provides a 6~8 token/s smooth decoding on mobil... | {
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https://api.github.com/repos/ollama/ollama/issues/349 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/349/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/349/comments | https://api.github.com/repos/ollama/ollama/issues/349/events | https://github.com/ollama/ollama/pull/349 | 1,850,683,721 | PR_kwDOJ0Z1Ps5X7j1Q | 349 | close open files | {
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https://api.github.com/repos/ollama/ollama/issues/8150 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8150/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8150/comments | https://api.github.com/repos/ollama/ollama/issues/8150/events | https://github.com/ollama/ollama/issues/8150 | 2,746,656,707 | I_kwDOJ0Z1Ps6jtqfD | 8,150 | model run failed | {
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"total": 0,
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} | null | null | null | ### What is the issue?
What is the issue?
0.5.4
Error: llama runner process has terminated: error:/usr/lib/ollama/runners/cuda_v12_avx/ollama_llama_server: undefined symbol: ggml_backend_cuda_reg.
Same for 0.5.1 is running normally.
nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2024... | {
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https://api.github.com/repos/ollama/ollama/issues/6763 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6763/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6763/comments | https://api.github.com/repos/ollama/ollama/issues/6763/events | https://github.com/ollama/ollama/issues/6763 | 2,520,631,609 | I_kwDOJ0Z1Ps6WPck5 | 6,763 | `ollama show` displays context length in scientific notation | {
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"node_id": "LA_kwDOJ0Z1Ps8AAAABUc2acg... | closed | false | null | [] | null | 0 | 2024-09-11T19:47:47 | 2024-09-11T21:58:42 | 2024-09-11T21:58:41 | MEMBER | {
"total": 0,
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} | null | null | null | ### What is the issue?
### 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/3815 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3815/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3815/comments | https://api.github.com/repos/ollama/ollama/issues/3815/events | https://github.com/ollama/ollama/issues/3815 | 2,255,853,207 | I_kwDOJ0Z1Ps6GdZaX | 3,815 | OpenSSL SSL_read: error:0A000126 | {
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"node_id": "LA_kwDOJ0Z1Ps8AAAABjgCL2Q... | closed | false | null | [] | null | 3 | 2024-04-22T07:56:53 | 2024-08-23T20:57:36 | 2024-08-23T20:57:36 | NONE | {
"total": 0,
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jiang@jiang-MS-7D90:~$ curl -fsSL https://ollama.com/install.sh | sh
>>> Downloading ollama...
######################################################################## 100.0%#=#=-# # curl: (56) OpenSSL SSL_read: error:0A000126:SSL r... | {
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https://api.github.com/repos/ollama/ollama/issues/2714 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2714/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2714/comments | https://api.github.com/repos/ollama/ollama/issues/2714/events | https://github.com/ollama/ollama/issues/2714 | 2,151,554,978 | I_kwDOJ0Z1Ps6APh-i | 2,714 | Misunderstanding of ollama num_ctx parameter and context window | {
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https://api.github.com/repos/ollama/ollama/issues/8440 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8440/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8440/comments | https://api.github.com/repos/ollama/ollama/issues/8440/events | https://github.com/ollama/ollama/issues/8440 | 2,789,502,572 | I_kwDOJ0Z1Ps6mRG5s | 8,440 | Using `mkdir -p` rather than checking manually is a dir exists before creating it A.K.A. Storing (very) large files in /root vs. "Error: mkdir /usr/share/ollama/XXX: file exists" | {
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} | null | null | null | ### What is the issue?
Hi,
Like many Linux users, I have a separated `/home` and `/`. When I created these partitions (~10 years ago), I allocated only ~40GB to `/` as it was _way_ sufficient to store the OS + all the packages I use in my every day life.
Unfortunately, when I experiment with new models in `ollama`, ... | {
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https://api.github.com/repos/ollama/ollama/issues/3408 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3408/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3408/comments | https://api.github.com/repos/ollama/ollama/issues/3408/events | https://github.com/ollama/ollama/issues/3408 | 2,215,643,381 | I_kwDOJ0Z1Ps6EEAj1 | 3,408 | Pushing a model isn't early alpha anymore | {
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Pushing a model isn't early alpha anymore
### How should we solve this?
remove 'early alpha' in the import doc
### What is the impact of not solving this?
folks will think its early alpha
### Anything else?
_No response_ | {
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https://api.github.com/repos/ollama/ollama/issues/8446 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8446/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8446/comments | https://api.github.com/repos/ollama/ollama/issues/8446/events | https://github.com/ollama/ollama/pull/8446 | 2,791,628,854 | PR_kwDOJ0Z1Ps6H8rG9 | 8,446 | add conversion code for cohere2 arch | {
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| null | {
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https://api.github.com/repos/ollama/ollama/issues/7102 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7102/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7102/comments | https://api.github.com/repos/ollama/ollama/issues/7102/events | https://github.com/ollama/ollama/issues/7102 | 2,566,570,878 | I_kwDOJ0Z1Ps6Y-sN- | 7,102 | VideoCore GPU support | {
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https://api.github.com/repos/ollama/ollama/issues/8016 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8016/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8016/comments | https://api.github.com/repos/ollama/ollama/issues/8016/events | https://github.com/ollama/ollama/pull/8016 | 2,727,845,381 | PR_kwDOJ0Z1Ps6ElPgL | 8,016 | Add warning message when prompt doesn't include json for structured outputs | {
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} | ollama currently warns when `json` output is required but it is not mentioned in the prompt. It is recommended in the docs that prompts should ask for JSON output.
With the new structured output feature, the warning isn't logged if a user supplied a schema, only if they ask for `"format": "json"`. I think we need th... | {
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resolves: https://github.com/ollama/ollama/issues/5449 | {
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https://api.github.com/repos/ollama/ollama/issues/4940 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4940/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4940/comments | https://api.github.com/repos/ollama/ollama/issues/4940/events | https://github.com/ollama/ollama/issues/4940 | 2,341,920,624 | I_kwDOJ0Z1Ps6Llt9w | 4,940 | Can't run ollama using cmd on Windows | {
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I can't run ollama using windows 11 terminal app:
But environment variable exists in "System variables":
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https://api.github.com/repos/ollama/ollama/issues/3277 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3277/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3277/comments | https://api.github.com/repos/ollama/ollama/issues/3277/events | https://github.com/ollama/ollama/issues/3277 | 2,198,917,431 | I_kwDOJ0Z1Ps6DENE3 | 3,277 | Can not build ollama on windows 11 | {
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```
D:\gos\ollama>go build .
# github.com/jmorganca/ollama/llm
llm\llm.go:52:17: undefined: gpu.CheckVRAM
llm\llm.go:68:14: undefined: gpu.GetGPUInfo
llm\llm.go:166:15: undefined: newDynExtServer
```
### What did you expect to see?
Succ build
### Steps to reproduce
_No response_
### A... | {
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I used 4 A30 gpus to reason about qwen2-72b's model. But even at peak times, each card was not used more than 35%. At the same time, the speed of reasoning is relatively slow.
### OS
Linux, Docker
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.2.0 | {
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} | null | null | null | ### What is the issue?
ollama install command, `curl -fsSL https://ollama.com/install.sh | sh`, removes and reinstalls even if there is no version update.
The script should not remove current version downloads, if there is no version update.
### OS
Linux
### GPU
Intel
### CPU
Intel
### Ollama version
0.5.4 | {
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https://api.github.com/repos/ollama/ollama/issues/2990 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2990/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2990/comments | https://api.github.com/repos/ollama/ollama/issues/2990/events | https://github.com/ollama/ollama/pull/2990 | 2,174,616,537 | PR_kwDOJ0Z1Ps5pAbJL | 2,990 | fix: default terminal width, height | {
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} | resolves #2970 | {
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https://api.github.com/repos/ollama/ollama/issues/4018 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/4018/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/4018/comments | https://api.github.com/repos/ollama/ollama/issues/4018/events | https://github.com/ollama/ollama/issues/4018 | 2,268,011,330 | I_kwDOJ0Z1Ps6HLxtC | 4,018 | API truncates parentheses before stop token | {
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} | null | null | null | ### What is the issue?
The generate API is truncating closing parentheses when they appear before a stop token at seemingly random occasions. This issue is reproducible across all models I've tested (Phi3, All llama3 versions, WizardLM2) so it looks like it's an API limitation?
sample text
```
Everyone uses `:)... | {
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https://api.github.com/repos/ollama/ollama/issues/6247 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6247/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6247/comments | https://api.github.com/repos/ollama/ollama/issues/6247/events | https://github.com/ollama/ollama/pull/6247 | 2,454,585,561 | PR_kwDOJ0Z1Ps53xa8Q | 6,247 | Store layers inside manifests consistently as values. | {
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} | This consistently uses layers as values (instead of pointers) inside of manifest after the change to make the config be passed by value. The interface is clearer and it reduces the need dereference and take address of in some places.
I'm not sure if the changes in layer.go are considered canonical Go, so I would app... | {
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ollama server is run on CPU: ```OLLAMA_LLM_LIBRARY=cpu ollama start```
While attempting to run the gemma model, it still attempts to use vulkan and fails:
```
2024/08/09 09:58:04 routes.go:1108: INFO server config env="map[CUDA_VISIBLE_DEVICES: GPU_DEVICE_ORDINAL: HIP_VISIBLE_DEVICES: HSA... | {
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https://api.github.com/repos/ollama/ollama/issues/3213 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3213/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3213/comments | https://api.github.com/repos/ollama/ollama/issues/3213/events | https://github.com/ollama/ollama/issues/3213 | 2,191,283,603 | I_kwDOJ0Z1Ps6CnFWT | 3,213 | open /home/house365ai/xxm/model/Qwen1.5-14B-Chat/tokenizer.model: | {
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my Modelfile
FROM /home/house365ai/xxm/model/Qwen1.5-14B-Chat
ollama create Qwen1.5-14B-Chat -f Modelfile
how solve it? | {
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https://api.github.com/repos/ollama/ollama/issues/8341 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8341/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8341/comments | https://api.github.com/repos/ollama/ollama/issues/8341/events | https://github.com/ollama/ollama/issues/8341 | 2,773,670,616 | I_kwDOJ0Z1Ps6lUtrY | 8,341 | [feature] start ollama automatically on startup | {
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} | null | null | null | i've been playing with this feature to automatically start ollama serve from startup (docker php init) but it won't start with an & (background process). then i tried to put it in a script with a lock file in cron and sees if that start the script. it starts my script but it then does not start `ollama serve` which sho... | null | {
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https://api.github.com/repos/ollama/ollama/issues/1273 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1273/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1273/comments | https://api.github.com/repos/ollama/ollama/issues/1273/events | https://github.com/ollama/ollama/pull/1273 | 2,010,474,590 | PR_kwDOJ0Z1Ps5gWNX7 | 1,273 | added llama_runner_timeout ModelFile parameter for longer timeouts | {
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Defaults to the 3 minutes hard coded in the current main branch. | {
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https://api.github.com/repos/ollama/ollama/issues/7005 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7005/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7005/comments | https://api.github.com/repos/ollama/ollama/issues/7005/events | https://github.com/ollama/ollama/issues/7005 | 2,553,392,563 | I_kwDOJ0Z1Ps6YMa2z | 7,005 | Docker not use GPU after idle | {
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} | null | null | null | ### What is the issue?
After the model is cleared from the graphics card RAM, when it is run again, the model is not loaded to the graphics card RAM but runs on the CPU instead, which slows it down a lot. You have to do docker stop ollama and docker start ollama to get it to run again with the graphics card.
### OS
... | {
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https://api.github.com/repos/ollama/ollama/issues/5141 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5141/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5141/comments | https://api.github.com/repos/ollama/ollama/issues/5141/events | https://github.com/ollama/ollama/issues/5141 | 2,362,404,205 | I_kwDOJ0Z1Ps6Mz21t | 5,141 | Make "pull" support more than one model | {
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} | null | null | null | "ollama pull " currently only supports one parameter. However when setting up a new server, or when do a bulk update of LLMs, we need to do a batch of LLM pulls.
It would be very handy for the command to support more than one model as parameter.
E.g.
ollama pull deepseek-coder-v2 phi3:14b codestral
As op... | {
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https://api.github.com/repos/ollama/ollama/issues/6974 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6974/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6974/comments | https://api.github.com/repos/ollama/ollama/issues/6974/events | https://github.com/ollama/ollama/issues/6974 | 2,549,682,283 | I_kwDOJ0Z1Ps6X-RBr | 6,974 | Ollama on Windows occupied all available ports when downloading | {
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"total": 0,
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} | null | null | null | ### What is the issue?
When I'm trying to download a model from Ollama for Windows, after a while, my browsers cannot visit any other website, showing "connection refused". And the download would also fail (after the first part of this model finished, the next part cannot start and reports error).
The log `~/AppData/... | {
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https://api.github.com/repos/ollama/ollama/issues/2298 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2298/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2298/comments | https://api.github.com/repos/ollama/ollama/issues/2298/events | https://github.com/ollama/ollama/pull/2298 | 2,111,247,173 | PR_kwDOJ0Z1Ps5loeAB | 2,298 | structured debug prompt | {
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https://api.github.com/repos/ollama/ollama/issues/2572 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2572/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2572/comments | https://api.github.com/repos/ollama/ollama/issues/2572/events | https://github.com/ollama/ollama/issues/2572 | 2,140,911,407 | I_kwDOJ0Z1Ps5_m7cv | 2,572 | PrivateGPT example is broken for me | {
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} | null | null | null | After installing it as per your provided instructions and running `ingest.py` on a folder with 19 PDF documents it crashes with the following stack trace:
```
Creating new vectorstore
Loading documents from source_documents
Loading new documents: 100%|████████████████████| 19/19 [00:02<00:00, 7.12it/s]
Loaded 169... | {
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https://api.github.com/repos/ollama/ollama/issues/6523 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/6523/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/6523/comments | https://api.github.com/repos/ollama/ollama/issues/6523/events | https://github.com/ollama/ollama/pull/6523 | 2,488,103,562 | PR_kwDOJ0Z1Ps55gawM | 6,523 | llama: clean up sync | {
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https://api.github.com/repos/ollama/ollama/issues/8585 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8585/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8585/comments | https://api.github.com/repos/ollama/ollama/issues/8585/events | https://github.com/ollama/ollama/issues/8585 | 2,811,203,849 | I_kwDOJ0Z1Ps6nj5EJ | 8,585 | Error: neither ‘from’ or ‘files’ was specified when creating a model | {
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Hello,
I’m encountering an issue when trying to create a model using ollama create on my Mac. The command fails with the following error message:
transferring model data
Error: neither 'from' or 'files' was specified
This issue occurs despite ensuring the path to the .gguf file is correct. ... | {
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No... | {
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https://api.github.com/repos/ollama/ollama/issues/3875 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3875/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3875/comments | https://api.github.com/repos/ollama/ollama/issues/3875/events | https://github.com/ollama/ollama/issues/3875 | 2,261,313,798 | I_kwDOJ0Z1Ps6GyOkG | 3,875 | Error: pull model manifest: 401 | {
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OS: Ubuntu 22.04 server
ollama version: 0.1.32
Using official bash script to install it or docker method to run it, both can't pull any model and get same next error:
```
# ollama run llama3
pulling manifest
Error: pull model manifest: 401
```
In same network environment, my ma... | {
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https://api.github.com/repos/ollama/ollama/issues/1227 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/1227/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/1227/comments | https://api.github.com/repos/ollama/ollama/issues/1227/events | https://github.com/ollama/ollama/pull/1227 | 2,005,037,736 | PR_kwDOJ0Z1Ps5gD8sf | 1,227 | update python client create example | {
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} | When we updated our CLI to upload modelfile contents directly to the ollama server we missed updating the python example client. This change brings the logic in the python client in-line with our Go client | {
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https://api.github.com/repos/ollama/ollama/issues/5956 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5956/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5956/comments | https://api.github.com/repos/ollama/ollama/issues/5956/events | https://github.com/ollama/ollama/issues/5956 | 2,430,544,508 | I_kwDOJ0Z1Ps6Q3yp8 | 5,956 | Phi3-mini-4k-instruct will need to be updated for latest llama.cpp | {
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The blob from the ollama repository fails to load on the latest llama.cpp.
```
0|pv_scheduler | llama-server [phi3-3.8b:1280:1]: llama_model_loader: - kv 16: tokenizer.ggml.tokens arr[str,32064] = ["<unk>", "<s>", "</s>", "<0x00>", "<.... | {
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} | Shoutout to @sixlive for finding this!
docs were outdated and didnt mention that we can now stream tools | {
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file format issue.
### What did you expect to see?
No errors
### Steps to reproduce
run provided curl call to install script, as is.
### Are there any recent changes that introduced the issue?
Work around: install dos2unix, download the install script, and then run " dos2unix <filename>"
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Doesn't work on my mac and EC2 as well.
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[root@localhost data]# ollama run llama3.1:8b
>>> a
It looks likeError: an error was encountered while running the model: unexpected EOF
tail -200 /var/log/messages
Dec 5 10:29:10 localhost ollama: Device 0: NVIDIA A800-SXM4-40GB, compute capability 8.0, VMM: yes
Dec 5 10:29:10 localhost ollama: llm_load_t... | null | {
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Ingest is a tool for parsing files/directories into a LLM friendly markdown formatted prompt and can directly pass the content and prompt to Ollama. | {
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The `split_mode` option has three possible values, and from `llama.cpp::server --help`:
> How to split the model across multiple GPUs, one of:
> - "layer": split layers and KV across GPUs (default).
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https://github.com/jmorganca/ollama/issues/920****
```
Dec 20 17:03:07 NightFuryX ollama[12288]: llama_new_context_with_model: total VRAM used: 5913.56 MiB (model: 3577.55 MiB, context: 2336.00 MiB)
Dec 20 17:03:11 NightFuryX ollama[12288]: CUDA error 700 at /go/src/g... | {
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Nothing too detailed, but:
* Disc space required
* Main ram
* Video/Compute card requirements
Keep up the good work! | {
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https://api.github.com/repos/ollama/ollama/issues/2600 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/2600/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/2600/comments | https://api.github.com/repos/ollama/ollama/issues/2600/events | https://github.com/ollama/ollama/pull/2600 | 2,143,148,487 | PR_kwDOJ0Z1Ps5nVHWd | 2,600 | Document setting server vars for windows | {
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} | Fixes #2546 | {
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https://api.github.com/repos/ollama/ollama/issues/8328 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/8328/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/8328/comments | https://api.github.com/repos/ollama/ollama/issues/8328/events | https://github.com/ollama/ollama/issues/8328 | 2,771,743,238 | I_kwDOJ0Z1Ps6lNXIG | 8,328 | [Model request] alea-institute/kl3m-003-3.7b | {
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https://www.kl3m.ai/
KL3M is a family of language models claimed to be trained on clean, legally-permissible data. It has obtained the [Fairly Trained L-Certification](https://www.fairlytrained.org/certifications). `kl3m-003-3.7b` is the latest available model of ... | null | {
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https://api.github.com/repos/ollama/ollama/issues/5775 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/5775/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/5775/comments | https://api.github.com/repos/ollama/ollama/issues/5775/events | https://github.com/ollama/ollama/issues/5775 | 2,416,937,658 | I_kwDOJ0Z1Ps6QD4q6 | 5,775 | Assistant doesn't continue from its last message | {
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"followers_url": "https://api.g... | null | 4 | 2024-07-18T16:59:37 | 2024-07-21T19:02:53 | 2024-07-20T03:19:27 | NONE | {
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I love using llama3:8b with Open WebUI's text generation and recently I've realized whatever I write there llama3:8b just says random stuff.
After that I've tried the message editing in Open WebUI and even if I edit it the message continues like no assistant message was provided.
Finally I... | {
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https://api.github.com/repos/ollama/ollama/issues/3164 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3164/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3164/comments | https://api.github.com/repos/ollama/ollama/issues/3164/events | https://github.com/ollama/ollama/issues/3164 | 2,188,106,862 | I_kwDOJ0Z1Ps6Ca9xu | 3,164 | CUDA error: an illegal memory access was encountered | {
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oll... | {
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https://api.github.com/repos/ollama/ollama/issues/7544 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/7544/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/7544/comments | https://api.github.com/repos/ollama/ollama/issues/7544/events | https://github.com/ollama/ollama/issues/7544 | 2,640,217,485 | I_kwDOJ0Z1Ps6dXoWN | 7,544 | Despite advertised, granite3-dense does not seem to support tools. | {
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"total": 0,
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} | null | null | null | ### What is the issue?
[granite3-dense](https://ollama.com/library/granite3-dense)
Gave bash as tool, but it is refusing to use it, other models work fine (qwen2.5 32b outshines all others for shell use).
Tool setup and sys prompt here: https://github.com/chhu/ollash/blob/main/index.js
asterope:~ >ask List file c... | {
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https://api.github.com/repos/ollama/ollama/issues/3921 | https://api.github.com/repos/ollama/ollama | https://api.github.com/repos/ollama/ollama/issues/3921/labels{/name} | https://api.github.com/repos/ollama/ollama/issues/3921/comments | https://api.github.com/repos/ollama/ollama/issues/3921/events | https://github.com/ollama/ollama/issues/3921 | 2,264,485,955 | I_kwDOJ0Z1Ps6G-VBD | 3,921 | Copying quantized models doesn't work | {
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"html_url": "https://github.com/mxyng",
"followers_url": "https://api.github.com/... | null | 10 | 2024-04-25T20:59:31 | 2024-05-14T03:00:15 | 2024-05-09T22:21:12 | NONE | {
"total": 0,
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} | null | null | null | ### What is the issue?
I've just built the latest version through docker (5f73c08729e97eb3f760633c6ffba4f34cfe5538) and am getting errors copying some models:
```
$ ollama cp llama3:8b-instruct-q5_K_M llama3-8b-1
Error: model "llama3:8b-instruct-q5_K_M" not found
$ ollama cp llama3 llama3-8b-1
Error: model "l... | {
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