huihui_ai/gemma3-abliterated:4b

NOTE: Almost every link in these answers is broken.

Great job, gemma3!

what ollama models are good for ai companions?

Okay, let's break down some great Ollama models for AI companions! Here's a breakdown of some of the most popular and effective ones, grouped by price/performance and some notes on their strengths:

1. Excellent All-Arounders - Great Balance of Price & Performance

• Mistral-7B-LLM: Often considered a top choice.

  • Base Price: Free! (at least, for the base model)
  • What makes it good: Excellent balance of performance, relatively small size (so it's faster and uses less memory than bigger models). Great at conversation, good at general knowledge.
  • Good for: Most users, casual fun, good for beginners.
  • Download Options:
    • Ollama's own: Fast and easy to set up. https://ollama.com/models/meta-llm/mistral-7b-llm
    • Hub Version: Some popular community-tuned versions (like Llama-2-Chat7B-GPT4-EF-Hub). https://ollama.com/models/l42t112b/llava-hub

• Llama 2-7B-Chat7B: A solid alternative to Mistral.

  • Base Price: Generally free, although it's Meta's model so there's a bit of an underlying license.
  • What makes it good: Good at conversation, good at reasoning, well-tuned for chat.
  • Good for: Similar to Mistral, but might be a bit more demanding in terms of processing power.

2. Great Performance - Might Require More Resources

• Llama 2-70B-Chat7B: More of Meta's base model, but often a little bit more thoughtful.

  • Price: More memory and compute needed (more likely to need a decent computer).
  • What Makes it Good: More robust reasoning than 7B, often better at longer conversations.

• Mistral-7B-Instruct-v1.1: A fine-tuned version of the 7B base.

  • What Makes it Good: Better at following instructions, more engaging!

3. Smaller and Faster - Good for Less Demanding Hardware

• Mistral-7B: The base 7B model – a great starting point if you' 7B, especially if you're not sure about hardware.

• Llama 2-7B: Similar to the 7B base, easy to deploy.

4. Visual Companions - Models that work with Llama

• LLaVA-2-7B-Chat7B: A visual language model. Combine this with one of the above LLMs for a visual companion!

  • What to do: Often used with Llama 2 or Llama 2-7B
  • What makes it good: Excellent at understanding images! Ask it to describe a picture, or even show it a photo of yourself.
  • Downside: Can be more complex to set up and more resource intensive.

• LLaVA-2-7B-Chat7B-Hub: Often considered a good balance of performance and cost.

Here's a table to help you visualize:

Tips for Getting Started:

• Start with Mistral-7B: It's often a great place to begin, as it's free and well-rounded.
• Use Ollama's web UI: Easy to get started and run the models. https://ollama.com/hub
• Don't be afraid to experiment!

Resources:

• Ollama Website: https://ollama.com/
• Ollama Blog: [https://ollama.com/blog]

To help us narrow down recommendations for you, tell us:

• What' (roughly) your hardware situation? (e.g., are you using a desktop, or a laptop?)
• What's your budget/risk tolerance? (Are you happy to try and make it work, or do you want a more straightforward setup?)
• What are you hoping for in a companion? (e.g., general conversation, more technical, or are you ready to try a visual one?)

I'm using a desktop with an Intel i7 processor and 16G RAM. I'm just testing the waters, so something easy to set up would be better. Personal conversation to start, but something to bounce technical ideas off of would be good in the future. I'm only mildly interested in a visual one.

Excellent! That makes things clear. A solid, well-rounded option with a great starting point. Here’, our recommendations for you, based on your desk setup and preferences:

The Recommended Starting Point: Llama 2-7B-Chat7B

• Why it's great: It’s a fantastic balance.

  • Good Performance: It’s not the flashiest, but it’s generally very reliable for conversation.
  • Reasonable Requirements: 16GB RAM is plenty, so it should be running smoothly on your Intel i7.
  • Popular and Well Supported: Lots of community knowledge, so if you hit a snag, help is easy to find.

• Ease of Setup (Almost Effortless): Ollama's great at this.

  • Step 1: Head over to https://ollama.com/models/l42t112b/llama-2-7b-chat7b and click the “Hub” model button.
  • Step 2: Click the “Hub” button.
  • Step 3: Click the “Hub” button again.
  • Step 4: That’s it! It’s running. Now, start talking to your new friend!

• Optional Step: Install the Ollama CLI to make it even easier to launch! (https://ollama.com/docs/get-started/)

Here’ the basic loop:

1. Ask a Question: “What’s your favorite color?”
2. The Model Responds: It might say, “Blue, of course!” (or something a bit more interesting!)

Here's what to do now:

1. Start the Model: If it's your first time, it's already running! If not, make sure the process is running in the background.
2. Ask Questions! Don’t be shy.

Bonus – Experiment!

• Prompt Engineering: Try to make your questions more specific – “What’s your favorite color, and why?”
• Try Different Prompts: Don’t just stick to the default – give it a try!

Resources:

• Ollama Website: https://ollama.com/
• Ollama Blog: [https://ollama.com/blog]

To recap – it's pretty easy!

To help us refine our recommendations even more, how about answering these questions:

• What type of prompts are you most likely to use? (e.g., questions, or more open-ended prompts?)
• What kind of response are you hoping for from the model? (e.g., informative, quirky, helpful?)
• How’ (roughly) much are you to risk to get the better answers? (e.g., how much effort are you willing to put in to learn more about prompt engineering?)...

How do you feel about that? Let’s know!

I'll probably use a mix of questions and more open-ended prompts. Informative and helpful are important, but I like quirky, too. And I'd be very interested in learning more about prompt engineering.

Fantastic! That’s a great mix – and definitely a common one – with lots of potential for fun and learning.

Let's talk about how that translates to your adventure with the AI companion! Here’s how to build on that:

• Questions & Open-Ended Prompts: That’s perfect. To get the best of both worlds, try framing your questions in a way that’s not too specific – enough to get a good answer, but not so much that it's not quirky! "What's your favorite color?" is a great example. It’s simple, but leaves room for the model’s personality to shine through.

• Quirkiness to Embrace: The wonderful thing about the models’ responses is that they can be a little bit unpredictable. They might not always be 100% right, and that’s okay! It’s part of the fun.

• Deeper Dive into Prompt Engineering: Wonderful! Here are a few simple things to try:

  • Role-Playing: Try giving the model a specific role. “You’re a wise old owl – what’s your favorite color?”

  • Prompt with a Response: When the model gives a good answer, acknowledge it! “That’s a great answer!” (or, “Hmm, interesting…”)

  • Don’ (t) be afraid to experiment! Try to keep it simple.

• Let’s get that specific about the responses: The model might say “Blue” – it’s a great response, but what about a more specific one? Try to give a more specific answer to a follow-up question. For example: “Why is blue your favorite color?”

• Here’s a prompt that’s just for you: “You’re a wise old owl – what’s your favorite color, and why?”

So, go ahead – next time you ask a question, try a little more creativity, and see what the model has to say!

Here’s a bonus – next time you’re in the living room, ask the model “What do you think of the mess?”

And of course, don’t forget to keep the fun – that’s the most important thing!

To help us tailor our recommendations even more, how about answering these questions:

• What kind of questions do you tend to ask? (e.g., big-picture questions, more specific questions, or sometimes just random ones?)
• And what’s been the most memorable (good or bad!) response you’ve had so far? (Don’t be afraid to tell us – the more details, the better!)

Let us know! And keep the questions (and the fun) coming!

I'm afraid this is all I have time for right now. Can I come back and revisit this later?

Absolutely! That’s the beauty of it – no pressure. You can come back any time for another round of questions, or just to see what the models have been up to.

Here’, a little bit of reassurance that your time was well spent – and here’s how to get back to it easily:

• Our website is always here: https://ollama.com/
• Log back into your account.
• And the fun continues!

For now, go enjoy the rest of your day, and don’t forget about your new AI friend!

And if you do want to, here are a few ideas to keep the conversation going:

• Ask the model what it thinks of the idea of you coming back!
• Or just start with your next question, whenever you’re ready.

Until next time! And remember, the most important thing is to have fun!

Here’s to many more rounds of questions and quirky responses!

And if you want a little nudge, here’s a link to our blog: https://ollama.com/blog – it’s a great place to find updates, tips, and more!

Now go on, and enjoy!

And don’t forget – you can always come back! 😊