github-starred/ollama-ollama
2
0
Fork 0
mirror of https://github.com/ollama/ollama.git synced 2026-04-27 07:57:18 -05:00
Code Issues 2.2k Packages Projects Releases 100 Wiki Activity

Does not support Intel integrated graphics, please add support #8604

New Issue
Open
opened 2025-11-12 14:46:58 -06:00 by GiteaMirror · 2 comments
GiteaMirror commented 2025-11-12 14:46:58 -06:00
Owner
Copy Link

Originally created by @fly23423 on GitHub (Nov 5, 2025).

What is the issue?

Does not support Intel integrated graphics, please add support

Relevant log output

time=2025-11-05T10:38:43.973Z level=INFO source=server.go:653 msg="loading model" "model layers"=29 requested=-1
time=2025-11-05T10:38:43.973Z level=INFO source=server.go:658 msg="system memory" total="15.4 GiB" free="10.6 GiB" free_swap="28.1 GiB"
time=2025-11-05T10:38:43.974Z level=INFO source=runner.go:1222 msg=load request="{Operation:fit LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:true KvSize:4096 KvCacheType: NumThreads:4 GPULayers:[] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}"
time=2025-11-05T10:38:44.018Z level=INFO source=ggml.go:136 msg="" architecture=qwen3 file_type=Q4_K_M name="Qwen3 1.7B" description="" num_tensors=311 num_key_values=28
load_backend: loaded CPU backend from /usr/lib/ollama/libggml-cpu-sse42.so
time=2025-11-05T10:38:44.030Z level=INFO source=ggml.go:104 msg=system CPU.0.SSE3=1 CPU.0.SSSE3=1 CPU.0.LLAMAFILE=1 CPU.1.LLAMAFILE=1 compiler=cgo(gcc)
time=2025-11-05T10:38:44.056Z level=INFO source=runner.go:1222 msg=load request="{Operation:alloc LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:true KvSize:4096 KvCacheType: NumThreads:4 GPULayers:[] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}"
time=2025-11-05T10:38:44.341Z level=INFO source=runner.go:1222 msg=load request="{Operation:commit LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:true KvSize:4096 KvCacheType: NumThreads:4 GPULayers:[] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}"
time=2025-11-05T10:38:44.341Z level=INFO source=ggml.go:482 msg="offloading 0 repeating layers to GPU"
time=2025-11-05T10:38:44.341Z level=INFO source=ggml.go:486 msg="offloading output layer to CPU"
time=2025-11-05T10:38:44.341Z level=INFO source=ggml.go:494 msg="offloaded 0/29 layers to GPU"
time=2025-11-05T10:38:44.341Z level=INFO source=device.go:217 msg="model weights" device=CPU size="1.3 GiB"
time=2025-11-05T10:38:44.341Z level=INFO source=device.go:228 msg="kv cache" device=CPU size="448.0 MiB"
time=2025-11-05T10:38:44.341Z level=INFO source=device.go:239 msg="compute graph" device=CPU size="52.0 MiB"
time=2025-11-05T10:38:44.341Z level=INFO source=device.go:244 msg="total memory" size="1.7 GiB"

OS

Docker

GPU

Intel

CPU

Intel

Ollama version

0.12.9

Originally created by @fly23423 on GitHub (Nov 5, 2025). ### What is the issue? Does not support Intel integrated graphics, please add support ### Relevant log output ```shell time=2025-11-05T10:38:43.973Z level=INFO source=server.go:653 msg="loading model" "model layers"=29 requested=-1 time=2025-11-05T10:38:43.973Z level=INFO source=server.go:658 msg="system memory" total="15.4 GiB" free="10.6 GiB" free_swap="28.1 GiB" time=2025-11-05T10:38:43.974Z level=INFO source=runner.go:1222 msg=load request="{Operation:fit LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:true KvSize:4096 KvCacheType: NumThreads:4 GPULayers:[] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}" time=2025-11-05T10:38:44.018Z level=INFO source=ggml.go:136 msg="" architecture=qwen3 file_type=Q4_K_M name="Qwen3 1.7B" description="" num_tensors=311 num_key_values=28 load_backend: loaded CPU backend from /usr/lib/ollama/libggml-cpu-sse42.so time=2025-11-05T10:38:44.030Z level=INFO source=ggml.go:104 msg=system CPU.0.SSE3=1 CPU.0.SSSE3=1 CPU.0.LLAMAFILE=1 CPU.1.LLAMAFILE=1 compiler=cgo(gcc) time=2025-11-05T10:38:44.056Z level=INFO source=runner.go:1222 msg=load request="{Operation:alloc LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:true KvSize:4096 KvCacheType: NumThreads:4 GPULayers:[] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}" time=2025-11-05T10:38:44.341Z level=INFO source=runner.go:1222 msg=load request="{Operation:commit LoraPath:[] Parallel:1 BatchSize:512 FlashAttention:true KvSize:4096 KvCacheType: NumThreads:4 GPULayers:[] MultiUserCache:false ProjectorPath: MainGPU:0 UseMmap:false}" time=2025-11-05T10:38:44.341Z level=INFO source=ggml.go:482 msg="offloading 0 repeating layers to GPU" time=2025-11-05T10:38:44.341Z level=INFO source=ggml.go:486 msg="offloading output layer to CPU" time=2025-11-05T10:38:44.341Z level=INFO source=ggml.go:494 msg="offloaded 0/29 layers to GPU" time=2025-11-05T10:38:44.341Z level=INFO source=device.go:217 msg="model weights" device=CPU size="1.3 GiB" time=2025-11-05T10:38:44.341Z level=INFO source=device.go:228 msg="kv cache" device=CPU size="448.0 MiB" time=2025-11-05T10:38:44.341Z level=INFO source=device.go:239 msg="compute graph" device=CPU size="52.0 MiB" time=2025-11-05T10:38:44.341Z level=INFO source=device.go:244 msg="total memory" size="1.7 GiB" ``` ### OS Docker ### GPU Intel ### CPU Intel ### Ollama version 0.12.9
GiteaMirror added the bug label 2025-11-12 14:46:58 -06:00
GiteaMirror commented 2025-11-12 14:46:59 -06:00
Author
Owner
Copy Link

@rick-github commented on GitHub (Nov 5, 2025):

Which Intel GPU do you have? It might be supported by the up-coming Vulkan backend.

@rick-github commented on GitHub (Nov 5, 2025): Which Intel GPU do you have? It might be supported by the up-coming Vulkan backend.
GiteaMirror commented 2025-11-12 14:46:59 -06:00
Author
Owner
Copy Link

@fly23423 commented on GitHub (Nov 5, 2025):

Intel n5105

@fly23423 commented on GitHub (Nov 5, 2025): Intel n5105
Sign in to join this conversation.
No Branch/Tag Specified
Branches Tags
Labels
Clear labels
amd
api
app
bug
build
cli
client2
cloud
compatibility
context-length
create
docker
documentation
embeddings
engine
feature request
feedback wanted
good first issue
gpt-oss
gpu
harmony
help wanted
install
integration
intel
js
linux
macos
memory
model
needs more info
networking
nvidia
ollama.com
performance
pull-request
Mirrored from GitHub Pull Request
 python
question
registry
rendering
thinking
tools
top
windows
wsl
No Label bug
Milestone
No items
No Milestone
Projects
Clear projects
No project
Assignees
Clear assignees
GiteaMirror ninjasurge
No Assignees
1 Participants
Notifications
Due Date
No due date set.
Dependencies

No dependencies set.

Reference: github-starred/ollama-ollama#8604
Delete Branch "%!s()"

Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?