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I am using Tabby v0.4.1 with VScode V1.88.1 successfully. However, some or several things before I could run it smoothly.
Spent quite an extensive duration for docker especially CUDA version on docker compose. Not NVIDIA CUDA toolkit, but NVIDIA container toolkit after tons of reading and trial and errorssss.
Describe the bug
some confliction(s) lying VScode v1.88.1 dont know which one causes it but once reverts it from v1.5.3 to v0.4.1 ( why this ver? because I have a rig and ran it successfully via VScode v.1.80.1 with Tabby v0.4.1
Information about your version
Figuring it out after some trials, finally work it out.
v - 0.9.1
Information about your GPU
Wed Apr 24 00:32:23 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 551.78 Driver Version: 551.78 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 3060 Ti WDDM | 00000000:01:00.0 On | N/A |
| 0% 37C P8 17W / 220W | 7966MiB / 8192MiB | 3% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
Other than that nothing else, haven't discovered it or realized it as a bug.
Sorry for my English, but try my best to explain what was it. Good project, so have to report it even though my bad expression.
The text was updated successfully, but these errors were encountered:
Please share whether you can generate a code completion result using https://localhost:8080/swagger-ui. Preferably, provide a recording of the process using jam.dev.
Please share whether you can generate a code completion result using https://localhost:8080/swagger-ui. Preferably, provide a recording of the process using jam.dev.
First of all, thanks for get in touch but i have tried it and hard for me to understand how to do it esp step 1. I tried download the corresponding msvc.exe and executed it. A blink of a cmd window popped up but instantly closed then nothing happened, After i restarted the local server and found that the tabby version still the same. I honestly dont know what the binary is and how to do it properly. Please advise
.
Could be mistaken for downloading incorrect distribution?
I am using Win 11, docker desktop(docker compose) with WSL.
First of all, such a great repo and product.
I am using Tabby v0.4.1 with VScode V1.88.1 successfully. However, some or several things before I could run it smoothly.
Spent quite an extensive duration for docker especially CUDA version on docker compose. Not NVIDIA CUDA toolkit, but NVIDIA container toolkit after tons of reading and trial and errorssss.
Describe the bug
some confliction(s) lying VScode v1.88.1 dont know which one causes it but once reverts it from v1.5.3 to v0.4.1 ( why this ver? because I have a rig and ran it successfully via VScode v.1.80.1 with Tabby v0.4.1
Information about your version
Figuring it out after some trials, finally work it out.
v - 0.9.1
Information about your GPU
Wed Apr 24 00:32:23 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 551.78 Driver Version: 551.78 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 3060 Ti WDDM | 00000000:01:00.0 On | N/A |
| 0% 37C P8 17W / 220W | 7966MiB / 8192MiB | 3% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 352 C+G ...on\119.0.2151.58\msedgewebview2.exe N/A |
| 0 N/A N/A 2180 C+G ...\Docker\frontend\Docker Desktop.exe N/A |
| 0 N/A N/A 2232 C+G ...t.LockApp_cw5n1h2txyewy\LockApp.exe N/A |
| 0 N/A N/A 3420 C+G ...Programs\Microsoft VS Code\Code.exe N/A |
| 0 N/A N/A 6740 C+G ...US\ArmouryDevice\asus_framework.exe N/A |
| 0 N/A N/A 8172 C+G ...CBS_cw5n1h2txyewy\TextInputHost.exe N/A |
| 0 N/A N/A 8428 C+G ...nt.CBS_cw5n1h2txyewy\SearchHost.exe N/A |
| 0 N/A N/A 10860 C+G ...2txyewy\StartMenuExperienceHost.exe N/A |
| 0 N/A N/A 13628 C+G ...crosoft\Edge\Application\msedge.exe N/A |
| 0 N/A N/A 14216 C+G ...5n1h2txyewy\ShellExperienceHost.exe N/A
+----------------------------------------------------------------------------------------
---------------------------------------------------------------+
Additional context
Other than that nothing else, haven't discovered it or realized it as a bug.
Sorry for my English, but try my best to explain what was it. Good project, so have to report it even though my bad expression.
The text was updated successfully, but these errors were encountered: