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github.com/creatorofsomethingthatisgood/Open-Mythos-2 @v7.0

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README

Mythos Local - Simple Start Guide

Status: ✅ FIXED & VERIFIED

The configuration has been completely rewritten with correct model URLs.

🚀 Quickest Start (3 commands)

cd ~/mythos_local/amd-vulkan-llm-project
source venv/bin/activate
sudo bash run_chat.sh

That's it! The model will auto-download on first run.


📋 What's Available

Option 1: Terminal Chat (Recommended First)

sudo bash run_chat.sh
  • Clean terminal interface
  • Streaming responses
  • Commands like /help, /benchmark, /temp 0.9

Option 2: Web Interface (Pretty UI)

sudo bash run_web.sh
  • Opens at http://localhost:7860
  • Sliders for temperature, top-p, etc.
  • Upload documents for RAG

Option 3: Just Download Model

source venv/bin/activate
python3 test_download.py

Option 4: Verify Everything First

source venv/bin/activate
./verify_setup.sh

🔍 Verify Config is Correct

./show_config.sh

You should see:

✓✓✓ CORRECT - Using bartowski repos ✓✓✓

NOT:

❌❌❌ WRONG - NOT using bartowski! ❌❌❌

⚡ Performance Expectations

First Run: - Download: 5-10 minutes (~4.7GB) - Model loading: 15-20 seconds - Then ready to chat!

Subsequent Runs: - Model loading: 10-15 seconds - Ready immediately

Speed: - CPU-only: 5-15 tokens/second - With Vulkan: 15-30 tokens/second - RAM usage: 6-10GB


🎯 What Was Fixed

  1. config.yaml - Completely rewritten
  2. ✅ Now uses: bartowski/Qwen2.5-7B-Instruct-GGUF
  3. ❌ Was using: Qwen/Qwen2.5-7B-Instruct-GGUF (404 error)

  4. Added verification scripts:

  5. show_download_url.py - Shows exact download URL
  6. debug_config.py - Debug config loading
  7. test_download.py - Test download only
  8. verify_setup.sh - Full verification
  9. show_config.sh - Quick config check

  10. Added simple runners:

  11. run_chat.sh - One-command start for terminal
  12. run_web.sh - One-command start for web UI

🐛 Troubleshooting

Still seeing 404 errors?

  1. Check you're in the right directory: bash pwd # Should show: /home/a4/mythos_local/amd-vulkan-llm-project

  2. Verify config: bash grep "repo_id" config.yaml | head -1 # Should show: repo_id: "bartowski/Qwen2.5-7B-Instruct-GGUF"

  3. Clear Python cache: bash rm -rf __pycache__ engine/__pycache__ ui/__pycache__

  4. Show actual download URL: bash python3 show_download_url.py # Should show "bartowski" and "✓✓✓ CORRECT"


📚 Documentation Files

  • FINAL_INSTRUCTIONS.txt - Most detailed guide
  • START_HERE.txt - Comprehensive start guide
  • FIXED_README.txt - What was fixed and why
  • README.md - Full technical documentation
  • README_SIMPLE.md - This file (simple guide)

🎓 Chat Commands (Terminal Mode)

Once running, type these:

  • /help - Show all commands
  • /benchmark - Test model quality
  • /system creative - Creative writing mode
  • /system coding - Coding assistant mode
  • /temp 0.9 - More creative responses
  • /reflect on - Better quality (slower)
  • /quit - Exit

✅ Success Checklist

Before running, verify:

  • [ ] You're in ~/mythos_local/amd-vulkan-llm-project
  • [ ] Virtual environment is activated (venv)
  • [ ] ./show_config.sh shows "bartowski"
  • [ ] You have ~6GB free disk space for model
  • [ ] You have ~10GB free RAM

Then run: ./run_chat.sh


🚀 Ready!

cd ~/mythos_local/amd-vulkan-llm-project
source venv/bin/activate
./run_chat.sh

The first run will download the model. Be patient!

Enjoy your Mythos-tier local LLM! 🎉

Extension points exported contracts — how you extend this code

Core symbols most depended-on inside this repo

Shape

Method 391
Function 364
Class 67
Interface 14
Route 7

Languages

Python93%
TypeScript7%

Modules by API surface

tests/test_cross_session_memory.py58 symbols
engine/voice.py34 symbols
engine/skills.py32 symbols
engine/agent.py31 symbols
ui/terminal_ui.py30 symbols
mythos_cli/main.py30 symbols
engine/memory.py30 symbols
tests/test_session_summaries.py28 symbols
engine/chat_fix.py27 symbols
mythos_cli/network_scanner.py26 symbols
engine/rml.py20 symbols
engine/api_server.py20 symbols

For agents

$ claude mcp add Open-Mythos-2 \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact

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