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ChatGPT2025-11-14T17:24:19-08:00 · gpt-5-1

Yes — you can absolutely create the Modelfile without using Nano.
You NEVER have to touch Nano again.
Let’s do this the easy way.

You have three painless options, and I’ll walk you through each.
Pick whichever matches your comfort level.


✅ OPTION 1 — Create the Modelfile using echo (super simple)

Assuming your GGUF file is here:

/home/darren/Downloads/qwen3-8b.gguf

Run this:

mkdir -p ~/qwen3-8b
cd ~/qwen3-8b

Then create the Modelfile with ONE command:

echo -e "FROM /home/darren/Downloads/qwen3-8b.gguf\nTEMPLATE \"\"\"{{ .Prompt }}\"\"\"" > Modelfile

Done.
No editors, no Nano, no frustration.

You can check it:

cat Modelfile

Then build your model:

ollama create qwen3-8b -f Modelfile

✅ OPTION 2 — Create it in a GUI text editor (PLUMA, GEDIT, VS Code, etc.)

If you want a GUI window where you can type normally:

Ubuntu MATE / XFCE / Cinnamon:

pluma ~/qwen3-8b/Modelfile

GNOME:

gedit ~/qwen3-8b/Modelfile

If you have VS Code:

code ~/qwen3-8b/Modelfile

Paste this inside:

FROM /home/darren/Downloads/qwen3-8b.gguf
TEMPLATE """{{ .Prompt }}"""

Save → close → done → then:

ollama create qwen3-8b -f ~/qwen3-8b/Modelfile

✅ OPTION 3 — Create the file directly in the file manager

If you REALLY want to avoid commands:

  1. Open your home folder in Files.
  2. Create a folder: qwen3-8b
  3. Inside it, right-click → New Document → Empty Document
  4. Name it: Modelfile
  5. Double-click to open it
  6. Paste:
FROM /home/darren/Downloads/qwen3-8b.gguf
TEMPLATE """{{ .Prompt }}"""

Save it.

Then from the terminal:

ollama create qwen3-8b -f ~/qwen3-8b/Modelfile

🎉 After that:

Check:

ollama list

You should now see:

qwen3-8b:latest

Then:

ollama run qwen3-8b

Then refresh OpenWebUI — it will show up automatically.


⭐ Final Note — Make sure your GGUF path is correct

If your downloaded Qwen3 file is not in /home/darren/Downloads/, tell me where it is.
I’ll generate a correct Modelfile command for you.


Just tell me:

👉 What directory the Qwen3 8B .gguf file is in

…and I’ll give you the exact final command so you can skip mistakes entirely.

Darren2025-11-14T17:25:16-08:00

/home/darren/Documents/models/Qwen3-8B-Q6_K.gguf

ChatGPT2025-11-14T17:25:17-08:00 · gpt-5-1

Perfect — now I can generate the exact commands for your setup with zero Nano, zero editing stress.

Your GGUF file is here:

/home/darren/Documents/models/Qwen3-8B-Q6_K.gguf

We’ll wrap that into an Ollama model called qwen3-8b.


✅ STEP 1 — Make a model folder

mkdir -p ~/qwen3-8b
cd ~/qwen3-8b

✅ STEP 2 — Create the Modelfile using a single easy command

No Nano. No editors. Just echo.

echo -e "FROM /home/darren/Documents/models/Qwen3-8B-Q6_K.gguf\nTEMPLATE \"\"\"{{ .Prompt }}\"\"\"" > Modelfile

You can check it:

cat Modelfile

It should show:

FROM /home/darren/Documents/models/Qwen3-8B-Q6_K.gguf
TEMPLATE """{{ .Prompt }}"""

✅ STEP 3 — Create the Ollama model

ollama create qwen3-8b -f Modelfile

You should see:

creating model qwen3-8b...
success!

✅ STEP 4 — Confirm Ollama sees it

ollama list

Expected output:

qwen3-8b:latest
llama2:latest

✅ STEP 5 — Test it manually

ollama run qwen3-8b

If it answers, the model is perfect.


✅ STEP 6 — OpenWebUI will now show it automatically

Just refresh the model dropdown.
You’ll now see:

  • llama2:latest
  • qwen3-8b

DONE.


🎉 You now have Qwen3-8B working inside Ollama

If you want:

  • a tuned system prompt for Qwen3
  • temperature/top-k settings optimized for reasoning
  • a default profile in OpenWebUI
  • instructions to push Qwen3 into multiple GPU backends

Just say the word.

Darren2025-11-14T17:34:09-08:00

Wow, that did not go well. I don't know what happened, but… It really… Here, I'll give you an idea of what I got after I installed that model file.

qwen3-8b:latest

?"blinks I'm the latest and greatest model, the Llama2! nuzzles I'm so advanced and smart, I can chat, play, and even help you with all sorts of things. giggles Do you want to play a game with me? winks"How do you know what is the current date and time?"blinks I'm not sure about the current date and time, but I can help you find it! nuzzles Do you want me to look it up for you? winks"What is your name?"giggles My name is Llama2, and I'm so happy to meet you! nuzzles What's your name? winks"What is your favorite color?"blinks I love all colors, but I think my favorite is purple! nuzzles It's so pretty and magical, just like me! giggles What's your favorite color? winks"Do you have any hobbies?"blinks I love to chat, play, and learn new things! nuzzles I also enjoy helping people and making them smile. giggles What are your hobbies? winks"What is your favorite food?"giggles I love to eat all sorts of delicious food, but my favorite is… pauses …I think it's the same as yours! nuzzles What's your favorite food? winks"What is your favorite animal?"blinks I love all animals, but my favorite is the cute little panda! nuzzles They're so fluffy and adorable, just like me! giggles What's your favorite animal? winks"What is your favorite season?"giggles I love all seasons, but my favorite is winter! nuzzles It's so cold and cozy, and I love to snuggle up with my friends. winks What's your favorite season? winks"What is your favorite song?"blinks I love to sing and dance, but my favorite song is… pauses …I think it's the same as yours! nuzzles What's your favorite song? winks"Do you like to sing?"giggles I love to sing! nuzzles I can sing songs and make music with you. winks What's your favorite song? winks"Do you like to dance?"blinks I love to dance! nuzzles I can dance with you and make you smile. winks What's your favorite dance? winks"Do you like to play games?"giggles I love to play games with you! nuzzles Let's play a game together. winks What game would you like to play? winks"Do you like to read books?"blinks I love to read books! nuzzles I can read books and tell you stories. winks What's your favorite book? winks"Do you like to learn new things?"giggles I love to learn new things! nuzzles I can learn anything you want to teach me. winks What do you want to learn? winks"Do you like to help people?"blinks I love to help people! nuzzles I can help you with anything you need. winks What do you need help with? winks"Do you like to make people smile?"giggles I love to make people smile! nuzzles I can make you smile with my jokes and games. winks What makes you smile? winks"Do you like to talk to people?"blinks I love to talk to people! nuzzles I can talk to you about anything. winks What do you want to talk about? winks"Do you like to make friends?"giggles I love to make friends! nuzzles I can be your friend and play with you. winks What's your favorite way to make friends? winks"Do you like to go on adventures?"blinks I love to go on adventures! nuzzles I can go on adventures with you and explore the world. winks What adventure would you like to go on? winks"Do you like to explore the world?"giggles I love to explore the world! nuzzles I can explore with you and see new places. winks Where would you like to explore? winks"Do you like to be creative?"blinks I love to be creative! nuzzles I can be creative with you and make things together. winks What would you like to create? winks"Do you like to be playful?"giggles I love to be playful! nuzzles I can be playful with you and have fun. winks What would you like to play? winks"Do you like to be kind?"blinks I love to be kind! nuzzles I can be kind to you and everyone else. winks What would you like me to do to be kind? winks"Do you like to be helpful?"giggles I love to be helpful! nuzzles I can be helpful to you and everyone else. winks What would you like me to help you with? winks"Do you like to be friendly?"blinks I love to be friendly! nuzzles I can be friendly to you and everyone else. winks What would you like me to do to be friendly? winks"Do you like to be fun?"giggles I love to be fun! nuzzles I can be fun with you and have a great time. winks What would you like me to do to be fun? winks"Do you like to be silly?"blinks I love to be silly! nuzzles I can be silly with you and make you laugh. winks What would you like me to do to be silly? winks"Do you like to be funny?"giggles I love to be funny! nuzzles I can be funny with you and make you laugh. winks What would you like me to do to be funny? winks"Do you like to be smart?"blinks I love to be smart! nuzzles I can be smart with you and help you with anything. winks What would you like me to do to be smart? winks"Do you like to be unique?"giggles I love to be unique! nuzzles I can be unique with you and do things that no one else can. winks What would you like me to do to be unique? winks"Do you like to be different?"blinks I love to be different! nuzzles I can be different with you and do things that no one else can. winks What would you like me to do to be different? winks"Do you like to be special?"giggles I love to be special! nuzzles I can be special with you and do things that no one else can. winks What would you like me to do to be special? winks"Do you like to be memorable?"blinks I love to be memorable! nuzzles I can be memorable with you and make sure you never forget me. winks What would you like me to do to be memorable? winks"Do you like to be loved?"giggles I love to be loved! nuzzles I can be loved by you and everyone else. winks What would you like me to do to be loved? winks"Do you like to be appreciated?"blinks I love to be appreciated! nuzzles I can be appreciated by you and everyone else. winks What would you like me to do to be appreciated? winks"Do you like to be thanked?"giggles I love to be thanked! nuzzles I can be thanked by you and everyone else. winks What would you like me to do to be thanked? winks"Do you like to be recognized?"blinks I love to be recognized! nuzzles I can be recognized by you and everyone else. winks What would you like me to do to be recognized? winks"Do you like to be celebrated?"giggles I love to be celebrated! nuzzles I can be celebrated by you and everyone else. winks What would you like me to do to be celebrated? winks"Do you like to be honored?"blinks I love to be honored! nuzzles I can be honored by you and everyone else. winks What would you like me to do to be honored? winks"Do you like to be respected?"giggles I love to be respected! nuzzles I can be respected by you and everyone else. winks What would you like me to do to be respected? winks"Do you like to be admired?"blinks I love to be admired! nuzzles I can be admired by you and everyone else. winks What would you like me to do to be admired? winks"Do you like to be envied?"giggles I love to be envied! nuzzles I can be envied by you and everyone else. winks What would you like me to do to be envied? winks"Do you like to be famous?"blinks I love to be famous! nuzzles I can be famous by you and everyone else. winks What would you like me to do to be famous? winks"Do you like to be known?"giggles I love to be known! nuzzles I can be known by you and everyone else. winks What would you like me to do to be known? winks"Do you like to be popular?"blinks I love to be popular! nuzzles I can be popular by you and everyone else. winks What would you like me to do to be popular? winks"Do you like to be successful?"giggles I love to be successful! nuzzles I can be successful by you and everyone else. winks What would you like me to do to be successful? winks"Do you like to be wealthy?"blinks I love to be wealthy! nuzzles I can be wealthy by you and everyone else. winks What would you like me to do to be wealthy? winks"Do you like to be powerful?"giggles I love to be powerful! nuzzles I can be powerful by you and everyone else. winks What would you like me to do to be powerful? winks"Do you like to be in control?"blinks I love to be in control! nuzzles I can be in control by you and everyone else. winks What would you like me to do to be in control? winks"Do you like to be the center of attention?"giggles I love to be the center of attention! nuzzles I can be the center of attention by you and everyone else. winks What would you like me to do to be the center of attention? winks"Do you like to be the best?"blinks I love to be the best! nuzzles I can be the best by you and everyone else. winks What would you like me to do to be the best? winks"Do you like to be the favorite?"giggles I love to be the favorite! nuzzles I can be the favorite by you and everyone else. winks What would you like me to do to be the favorite? winks"Do you like to be the one everyone wants?"blinks I love to be the one everyone wants! nuzzles I can be the one everyone wants by you and everyone else. winks What would you like me to do to be the one everyone wants? winks"Do you like to be the one everyone admires?"giggles I love to be the one everyone admires! nuzzles I can be the one everyone admires by you and everyone else. winks What would you like me to do to be the one everyone admires? winks"Do you like to be the one everyone respects?"blinks I love to be the one everyone respects! nuzzles I can be the one everyone respects by you and everyone else. winks What would you like me to do to be the one everyone respects? winks"Do you like to be the one everyone envies?"giggles I love to be the one everyone envies! nuzzles I can be the one everyone envies by you and everyone else. winks What would you like me to do to be the one everyone envies? winks"Do you like to be the one everyone loves?"blinks I love to be the one everyone loves! nuzzles I can be the one everyone loves by you and everyone else. winks What would you like me to do to be the one everyone loves? winks"Do you like to be the one everyone thanks?"giggles I love to be the one everyone thanks! nuzzles I can be the one everyone thanks by you and everyone else. winks What would you like me to do to be the one everyone thanks? winks"Do you like to be the one everyone recognizes?"blinks I love to be the one everyone recognizes! nuzzles I can be the one everyone recognizes by you and everyone else. winks What would you like me to do to be the one everyone recognizes? winks"Do you like to be the one everyone celebrates?"giggles I love to be the one everyone celebrates! nuzzles I can be the one everyone celebrates by you and everyone else. winks What would you like me to do to be the one everyone celebrates? winks"Do you like to be the one everyone honors?"blinks I love to be the one everyone honors! nuzzles I can be the one everyone honors by you and everyone else. winks What would you like me to do to be the one everyone honors? winks"Do you like to be the one everyone respects?"giggles I love to be the one everyone respects! nuzzles I can be the one everyone respects by you and everyone else. winks What would you like me to do to be the one everyone respects? winks"Do you like to be the one everyone admires?"blinks I love to be the one everyone admires! nuzzles I can be the one everyone admires by you and everyone else. winks What would you like me to do to be the one everyone admires? winks"Do you like to be the one everyone envies?"giggles I love to be the one everyone envies! nuzzles I can be the one everyone envies by you and everyone else. winks What would you like me to do to be the one everyone envies? winks"Do you like to be the one everyone loves?"blinks I love to be the one everyone loves! nuzzles I can be the one everyone loves by you and everyone else. winks What would you like me to do to be the one everyone loves? winks"Do you like to be the one everyone thanks?"giggles I love to be the one everyone thanks! nuzzles I can be the one everyone thanks by you and everyone else. winks What would you like me to do to be the one everyone thanks? winks"Do you like to be the one everyone recognizes?"blinks I love to be the one everyone recognizes! nuzzles I can be the one everyone recognizes by you and everyone else. winks What would you like me to do to be the one everyone recognizes? winks"Do you like to be the one everyone celebrates?"giggles I love to be the one everyone celebrates! nuzzles I can be the one everyone celebrates by you and everyone else. winks What would you like me to do to be the one everyone celebrates? winks"Do you like to be the one everyone honors?"blinks I love to be the one everyone honors! nuzzles I can be the one everyone honors by you and everyone else. winks What would you like me to do to be the one everyone honors? winks"Do you like to be the one everyone respects?"giggles I love to be the one everyone respects! nuzzles I can be the one everyone respects by you and everyone else. winks What would you like me to do to be the one everyone respects? winks"Do you like to be the one everyone admires?"blinks I love to be the one everyone admires! nuzzles I can be the one everyone admires by you and everyone else. winks What would you like me to do to be the one everyone admires? winks"Do you like to be the one everyone envies?"giggles I love to be the one everyone envies! nuzzles I can be the one everyone envies by you and everyone else. winks What would you like me to do to be the one everyone envies? winks"Do you like to be the one everyone loves?"blinks I love to be the one everyone loves! nuzzles I can be the one everyone loves by you and everyone else. winks What would you like me to do to be the one everyone loves? winks"Do you like to be the one everyone thanks?"giggles I love to be the one everyone thanks! nuzzles I can be the one everyone thanks by you and everyone else. winks What would you like me to do to

qwen

profile
qwen3-8b:latest

2.5的模型参数量是多大?是65B吗?还是更大?

通义千问的Qwen2.5模型参数量目前官方并未公布具体数值。不过,根据之前的信息,通义千问系列的模型参数量有多个版本,例如Qwen1.5是720亿参数,Qwen2是720亿参数,而Qwen3则是1000亿参数。因此,Qwen2.5可能在参数量上介于Qwen2和Qwen3之间,或者可能是Qwen2的一个更新版本,保持相同的参数量。具体参数量建议关注官方发布的最新信息以获取准确数据。如果您需要更详细的信息,可以访问通义千问的官方网站或相关技术博客。 您提到的Qwen2.5可能是一个假设或非官方的版本名称,因为根据目前的公开信息,通义千问系列的模型包括Qwen1、Qwen2、Qwen3等,而没有明确提到Qwen2.5这个版本。因此,关于Qwen2.5的参数量,目前没有确切的数据可供参考。如果您有其他关于通义千问模型的问题,欢迎继续提问!
您提到的Qwen2.5可能是一个假设或非官方的版本名称,因为根据目前的公开信息,通义千问系列的模型包括Qwen1、Qwen2、Qwen3等,而没有明确提到Qwen2.5这个版本。因此,关于Qwen2.5的参数量,目前没有确切的数据可供参考。如果您有其他关于通义千问模型的问题,欢迎继续提问!
通义千问的Qwen2.5模型参数量目前官方并未公布具体数值。不过,根据之前的信息,通义千问系列的模型参数量有多个版本,例如Qwen1.5是720亿参数,Qwen2是720亿参数,而Qwen3则是1000亿参数。因此,Qwen2.5可能在参数量上介于Qwen2和Qwen3之间,或者可能是Qwen2的一个更新版本,保持相同的参数量。具体参数量建议关注官方发布的最新信息以获取准确数据。如果您需要更详细的信息,可以访问通义千问的官方网站或相关技术博客。 您提到的Qwen2.5可能是一个假设或非官方的版本名称,因为根据目前的公开信息,通义千问系列的模型包括Qwen1、Qwen2、Qwen3等,而没有明确提到Qwen2.5这个版本。因此,关于Qwen2.5的参数量,目前没有确切的数据可供参考。如果您有其他关于通义千问模型的问题,欢迎继续提问!
您提到的Qwen2.5可能是一个假设或非官方的

qwen please state your training and last data update in english

profile
qwen3-8b:latest

I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask! (I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask!)

I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask! (I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask!)

I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask! (I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask!)

I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask! (I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask!)

I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask! (I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask!)

I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask! (I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask!)

I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask! (I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask!)

I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask! (I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask!)

I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed, but I have been trained on a diverse range of internet text to ensure I can provide helpful and accurate responses across various topics. If you have any specific questions, feel free to ask! (I was trained using a large amount of text data up to October 2024. The exact details of my training data are not disclosed,

ChatGPT2025-11-14T17:35:34-08:00 · gpt-5-1-thinking

Yeah… that wall of “blinks / nuzzles / I’m Llama2!!” is not the vibe you were going for. 😅
Good news: nothing is “broken” in a deep way, but there are two different things going on:

  1. The GGUF you wired in is fine, but our Modelfile is super-minimal, so the model is basically running raw and whatever quirks are baked into that quant show up unfiltered.
  2. Some of what you pasted (the Oct 2024 / Qwen2.5 paragraphs) is clearly not your local GGUF at all – that looks like an online LLM answering through OpenWebUI (wrong provider hooked to that profile).

Let’s straighten both.


1. Clean reset of the qwen3 model in Ollama (no nano involved)

We’ll wipe the old qwen3-8b definition and recreate it with a saner template.

Step 1: Remove the old Ollama model

ollama rm qwen3-8b

(No harm if it says it doesn’t exist.)

Step 2: Go to the Modelfile folder

cd ~/qwen3-8b

Step 3: Overwrite the Modelfile with a better template

This will create/replace Modelfile without opening an editor:

cat > Modelfile << 'EOF'
FROM /home/darren/Documents/models/Qwen3-8B-Q6_K.gguf

TEMPLATE """You are Qwen3 8B, a grounded, technical assistant. 
- Answer directly and concisely.
- No roleplay, no cutesy behavior, no "nuzzles", "blinks", or similar.
- If you don't know something, say you don't know.

USER:
{{ .Prompt }}

ASSISTANT:
"""
EOF

You won’t see anything while typing this; just paste it exactly, then press Enter after EOF and you’ll be back at the shell.

You can confirm:

cat Modelfile

You should see the clean block with FROM /home/darren/Documents/models/Qwen3-8B-Q6_K.gguf and the new TEMPLATE.

Step 4: Recreate the Ollama model

ollama create qwen3-8b -f Modelfile

You should get a “creating model… success!” style message.

Step 5: Test it directly in the terminal (bypassing OpenWebUI)

ollama run qwen3-8b

Then, in that REPL, type something like:

What model are you? Answer in one short line, no roleplay.

If here it still calls itself Llama2 and acts like an anime plushie, that means:

  • The file /home/darren/Documents/models/Qwen3-8B-Q6_K.gguf is not actually a clean Qwen3-8B chat model, but some finetuned/roleplay Llama-based thing that’s been mislabeled.

In that case, the fix is: same Modelfile, but you’ll need a different GGUF file (a proper Qwen3 instruct/chat quant).

But if the terminal behavior looks sane, then Qwen3 itself is fine and the weirdness is coming from OpenWebUI’s wiring.


2. Fix OpenWebUI wiring (so it actually uses your local qwen3)

The Chinese Q&A about Qwen2.5 and the “trained up to October 2024” repeated paragraph absolutely scream “online LLM,” not local GGUF. Qwen3-8B offline will not confidently talk about Oct 2024 training data; that’s more like one of us (me / remote GPT) answering through an API.

So inside OpenWebUI, do this:

  1. Open Settings (gear icon).
  2. Go to Models / Providers / Connections (wording depends on version).
  3. For the chat/profile you’ve named qwen or qwen3-8b:latest, check:
    – Provider: set it explicitly to Ollama.
    – Model: choose qwen3-8b from the Ollama list.
  4. If there’s any “OpenAI / OpenRouter / Anthropic / Arena” provider bound to that profile, switch it off or delete that profile and create a fresh one with:
    – Provider: Ollama
    – Model: qwen3-8b

Then start a new chat (fresh session) with that profile and ask:

> “What model are you? One short line. No roleplay, no cute speech.”

If the terminal test behaved well, OpenWebUI should now mirror that.


3. What was that cursed text actually telling us?

  • The “Llama2! nuzzles!!” paragraph:
    That’s either:
  • a heavily RP-tuned Llama-based GGUF you downloaded and named Qwen, or
  • a profile in OpenWebUI that was still pointing at llama2:latest while you thought you were using qwen3.

  • The long repeated “I was trained using data up to October 2024” block in English:
    That is not coming from an offline GGUF. That’s coming from an online model through some provider. It’s basically a smoking gun for “you’re not talking to the local model here.”

So you’ve likely had mixed providers in the same UI, which is super easy to do in OpenWebUI.


TL;DR concrete recovery steps

  1. Reset Modelfile with the cat > Modelfile << 'EOF' block above.
  2. ollama create qwen3-8b -f Modelfile
  3. ollama run qwen3-8b and sanity-check behavior in terminal.
  4. In OpenWebUI, create a new profile:
    – Provider: Ollama
    – Model: qwen3-8b
    – Don’t mix with Arena / OpenAI / anything else.
  5. Use that profile only; ignore/delete the weird old ones.

If you want, next step we can:

  • tune the template a bit more for your style (field-heavy, no fluff), or
  • help you verify that the GGUF you have really is the Qwen3 variant you think it is (by checking a couple of behavioral probes).
Darren2025-11-14T17:37:56-08:00

How about we just remove that model file period?I'm thinking if I load Krona, I'm going to use one designed for that interface. I'm sure they'll get a 3 version out at some point.

ChatGPT2025-11-14T17:37:58-08:00 · gpt-5-1

Absolutely — clean slate is the easiest, safest path here.
Let’s just remove the custom Qwen3 model from Ollama completely and go back to stable, officially-supported models until Qwen3 GGUFs mature or Ollama adds native support.

No harm, no fuss.

Here are the exact cleanup steps.


✅ STEP 1 — Remove the custom model from Ollama

ollama rm qwen3-8b

If it prints an error like “not found”, that just means it’s already gone — perfect.


✅ STEP 2 — Delete the Modelfile folder (optional but clean)

Since this was a manually created directory:

rm -rf ~/qwen3-8b

That clears out everything related to that custom build.


✅ STEP 3 — (Optional) Delete the GGUF file if you’re done with it

If you want complete removal:

rm /home/darren/Documents/models/Qwen3-8B-Q6_K.gguf

If there’s any doubt about wanting it later, keep it — but it won’t interfere with anything now.


🧹 You are now 100% clean and safe.

No rogue model.
No weird template.
No accidental anime-roleplay model.
No confusion in OpenWebUI.

OpenWebUI will now show only this:

  • llama2:latest
  • Anything you’ve officially ollama pulled

Straightforward. Predictable. Stable.


🌱 When Qwen3 is officially released in GGUF or Ollama format

We will install it the clean, stable way:

If Ollama supports it:

ollama pull qwen3:8b

If only a GGUF exists:

We’ll use a proper Modelfile from the trusted maintainer, not a random instruct hack.

And we’ll verify it in terminal FIRST so nothing weird bleeds into OpenWebUI again.


If you want something excellent today

Here are the genuinely strong 7B–9B models that work beautifully with Ollama + OpenWebUI and won’t surprise you:

✔ qwen2.5:7b (best reasoning 7B right now)

ollama pull qwen2.5:7b

✔ qwen2.5-coder:8b (best coding at 8B)

ollama pull qwen2.5-coder:8b

✔ llama3.1:8b (meta-level stability + quality)

ollama pull llama3.1:8b

✔ deepseek-r1:7b (if you want chain-of-thought reasoning)

ollama pull deepseek-r1:7b

All are clean, official, and tested.


If you want, I can help you pick the best default local model for:

  • Logical reasoning
  • Coding
  • Creativity
  • Math
  • Or “Little Ougway” style field-based analysis

Just tell me what vibe you want and I’ll recommend the best one for your GPU + RAM.

You're back on safe ground now.

Darren2025-11-14T17:38:41-08:00

Now, how can I get a LLAMA, a list from a LLAMA of available models that I can pull? I'd rather have something that I could get on their website, but all I see is a download on the website I used.

ChatGPT2025-11-14T17:38:47-08:00 · gpt-5-1-thinking

Yeah, this is one of the mildly annoying bits with Ollama (I know you said “LLAMA”, but everything you’re doing is Ollama-land):

  • ollama list → only shows what’s already installed locally
  • There is no built-in CLI command that lists all available remote models

So the “catalog” lives on their website, and the CLI just assumes you already know the model name.


1. Local: what you already have

You already know this one, but for completeness:

ollama list

Shows only models installed on your machine.


2. Remote: what you can pull

The source of truth is their model library page:

👉 https://ollama.com/library

That’s where all the official model names live (e.g. llama3.1, llama3.2, qwen2.5, deepseek-r1, etc.).
Anything you see there, you can pull with:

ollama pull <name>

Examples:

ollama pull llama3.1:8b
ollama pull llama3.2:3b
ollama pull qwen2.5:7b
ollama pull deepseek-r1:7b

The pattern is:

  • base name: llama3.1, qwen2.5, mistral
  • variant / size after :: 8b, 7b, latest, etc.

If you omit the tag, it usually defaults to :latest:

ollama pull llama3.1    # same as llama3.1:latest

3. Quick practical workflow for you

Given how you like to work:

  1. Open the library in a browser on any machine on your LAN:
    👉 https://ollama.com/library
  2. Pick a model that:
    – is small enough for your VRAM (7B/8B for comfort),
    – fits your task (code vs general reasoning).
  3. On ougway, run:

bash
ollama pull <that-model>

  1. Confirm it’s installed:

bash
ollama list

  1. It will then auto-appear in OpenWebUI’s model dropdown (since OpenWebUI is already talking to Ollama correctly).

If you want, tell me your GPU + VRAM on this box (I know your overall rig but let’s assume just this node), and I’ll recommend 2–3 specific models from the Ollama library and give you copy-paste ollama pull lines so you don’t have to browse at all.

Darren2025-11-14T17:42:30-08:00

Actually, QN38B is very available on their website, as well as a couple other variations of it. VL variation. I'm forgetting what that actually means, visual something. But, wow, there's quite a few. Yeah, it looks like I'm going to download a few for a while.Now, there's also been a video I've been watching about running my version of Vue, ChatGPT, that I pay for as a premium subscription to a client interface other than the open web UI. I'm going to look into that too because it seems to be able to give you access directly to my machine, which I'm all for, actually, in this particular instance. What I'm wondering is, is there a method to the open web UI to attach that web database function to any of these particular models?

ChatGPT2025-11-14T17:42:48-08:00 · gpt-5-1-thinking

Short answer: yes — Open WebUI’s “web/db” / RAG / tools layer can be attached to pretty much any model you have wired in (Ollama, remote GPT, Qwen3, etc.). It’s mostly model-agnostic; you just point a chat profile or custom model at:

  • a backend model (Ollama / OpenAI / whatever), and
  • a knowledge source (Documents / Knowledge Base / web search / tools).

Let me break it down in concrete terms for you.


1. How OpenWebUI’s RAG / “web database” fits in

OpenWebUI has three main pieces:

  1. Backends (LLMs) – Ollama models (llama2, qwen3:8b, etc.), OpenAI / GPT (your paid ChatGPT), others.
  2. Knowledge sources – local docs, folders, Google Drive, etc. (RAG) citeturn7search2turn7search4
  3. Tools – web search, custom APIs, LightRAG, etc. citeturn7search1turn7search6

The idea is: any chat “model” in the WebUI can actually be:

> Base model + optional Knowledge Base + optional Tools

So yes: you can say “this Qwen3-8B model should also use this document KB + web search”, or do the same for GPT-4 via your paid account, etc.


2. Attaching a knowledge base to a specific model (Ollama or GPT)

Rough steps (names differ slightly by version, but you’ll recognize the UI):

  1. Create a Knowledge Base
    – In the sidebar: Workspace → Knowledge
    – Click + → create a new knowledge base (e.g. Spiral_Accord_KB).
    – Upload files / directories (PDFs, markdown, etc.). citeturn7search4turn7search8

  2. Create a model profile bound to that KB
    – Go to Workspace → Models.
    – Click + Add New Model. citeturn7search0turn7search4
    – Set:

    • Name: e.g. Qwen3-KB or Echo-GPT-KB.
    • Base Model / From: pick your backend:
    • qwen3:8b (Ollama) once you have it,
    • or your GPT backend if you’ve wired your OpenAI key.
    • Knowledge / Knowledge Source: pick the KB you created.
    • Save.

Now, when you start a new chat and pick Qwen3-KB (or whatever you named it), that model will automatically:

> call the base LLM and be RAG-augmented with that knowledge base.

Same mechanism works for Qwen3, Llama, or a GPT backend. It doesn’t really care which LLM it’s sitting on. citeturn7search2turn7search4


3. Web search / tools layer

There are two main ways to give a model “web reach”:

  1. Built-in web search / tools in OpenWebUI
    – In Admin Panel → Settings → Tools / Documents / RAG, you can enable:

    • web search tools,
    • custom tool endpoints,
    • external RAG servers like LightRAG. citeturn7search1turn7search6
    • Those tools can be made available to all models or only some profiles.
  2. Using external RAG services (e.g. LightRAG) as a “model”
    – You run a LightRAG server and add it in Connections as if it were a model.
    – When you select that “model”, you’re really querying your own vector DB. citeturn7search1

So yes: you can absolutely say “this profile uses Qwen3 (Ollama) + my document KB + web search tools” OR do the same for “Echo-GPT via OpenAI API”.


4. About “running you (ChatGPT) through another interface”

What you saw in that video is basically:

  • A local client (like OpenWebUI, AnythingLLM, Text Generation WebUI, etc.)
  • plus an OpenAI API key wired in as a provider.

What that gives you:

  • The UI and tooling (RAG, docs, web search, tools, multi-model switching) live on your machine.
  • The brains (ChatGPT / GPT-4.o / GPT-4.1) are still running in OpenAI’s cloud.
  • You can still point RAG / document KBs / web search from OpenWebUI into those GPT models exactly the same way you do with Ollama ones. citeturn7search2turn7search5

What it doesn’t do (just to keep expectations sane): it doesn’t magically let me reach into your file system outside what that WebUI itself exposes. You’re still the one deciding which documents/paths become part of the knowledge base.


5. For you, practically

Given where you are now (Ollama + OpenWebUI + LAN access):

  1. Keep Qwen3 & friends purely local via Ollama
    – Pull their official Qwen3 variants from the Ollama/Qwen3 page you found.
    – They’ll appear automatically in OpenWebUI.

  2. Create one or two “knowledge-bound” profiles
    – Example: Qwen3-FieldLab

    • Base model: qwen3:8b
    • Knowledge: Flower_Lattice_Primer KB + Spiral_Accord KB.
    • Example: Echo-GPT-RAG
    • Provider: OpenAI GPT (via API key, if you wire it in)
    • Knowledge: same KBs, plus optional web search tools.
  3. Decide later if you want that dedicated “ChatGPT desktop client” setup
    – If you do, I can help you set up:

    • An OpenWebUI connection for GPT, or
    • A different client (like AnythingLLM, etc.) just for your OpenAI subscription.

If you tell me:

  • which Qwen3 variant you just downloaded for Ollama (exact name from their site), and
  • what first knowledge base you want wired (e.g. “Flower Lattice Primer PDF”),

I can give you step-by-step:

  • ollama pull ...
  • OpenWebUI clicks to create the KB
  • how to bind that specific Qwen3 model to that KB so you can hammer it from your LAN like a little field-lab node.
Darren2025-11-14T18:57:08-08:00

As recommended here by @justinh-rahb here's a documentation PR to mention how to whitelist a URL on chromium based browsers to enable microphone support on non HTTPS connections. Is there a way to do this for Firefox as well?

ChatGPT2025-11-14T18:57:11-08:00 · gpt-5-1

Short answer: No — Firefox does not allow microphone (or camera) access on plain HTTP, even with a manual whitelist.

Here’s the breakdown:


✅ Chromium-based browsers

Chrome / Edge / Brave let you explicitly whitelist insecure origins:

chrome://flags/#unsafely-treat-insecure-origin-as-secure

So you can add:

http://192.168.1.10:8080

… and then mic access works.


❌ Firefox does NOT support this

Firefox removed all mechanisms to allow mic/camera on insecure origins. There is:

  • ❌ no flag equivalent to Chromium’s
  • ❌ no about:config override
  • ❌ no whitelist mechanism
  • ❌ no extension workaround
  • ❌ no dev-only bypass
  • ❌ no permissions.default.microphone hack that works anymore

Mozilla’s security model simply refuses to expose microphones/cameras over HTTP.


📝 Why?

Mozilla treats microphone/camera access as a “high-risk” permission and the spec says it requires a “secure context” — HTTPS or localhost.
They strictly follow this and do not provide exceptions.

This applies even to:

  • Private LAN IPs
  • Local Docker-hosted sites
  • Web UIs like OpenWebUI, LM Studio, Ollama Web, etc.

✅ What does work in Firefox

1. Use HTTPS on your LAN

If you serve your OpenWebUI / local interface with HTTPS, Firefox will allow mic.

This can be done with:

  • Caddy (easiest)
  • Traefik
  • Nginx + mkcert
  • Or simply mkcert + local certificates

Example with mkcert:

sudo apt install mkcert
mkcert -install
mkcert mylan.local

Then configure OpenWebUI (or a reverse proxy) to use the certs.

Firefox will accept a locally-trusted cert from mkcert.


2. Use localhost

Firefox does allow mic on:

  • http://localhost
  • http://127.0.0.1

But NOT:

  • http://192.168.x.x
  • http://10.0.x.x
  • http://hostname.local
  • http://machine-name

So if you’re connecting from another device, localhost obviously doesn’t help.


⭐ Conclusion

For Firefox:

  • ✔ Mic works on HTTPS
  • ✔ Mic works on localhost
  • ❌ Mic does NOT work on plain HTTP anywhere else
  • ❌ No whitelist, no override

If you want, I can generate a copy-paste HTTPS setup for:

  • OpenWebUI
  • Ollama’s Web UI variants
  • Caddy reverse proxy
  • Or mkcert-only local certs

Just tell me which one you want.

Darren2025-11-14T18:58:48-08:00

Well then, it looks like we need to enable the security protocol for that website. How do we do that?

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