Qubic HiveOs Miner

This is the integration of the main client from qubic.li to HiveOs.

Use URL in HiveOs flight sheet:
https://github.com/qubic-li/hiveos/releases/download/v1.9.5/qubminer-1.9.5.tar.gz

• Qubic HiveOs Miner
  • Qubic Resources
  • ⚠️ HiveOs Mandatory Installation Instructions
  • Flight Sheet Configuration
    • GPU+CPU (Dual) mining:
    • GPU mining:
    • CPU mining:
  • 🔧 Hive Os Settings
    • Miner Configuration
    • Recommended GPU overclocks :
    • Extra config arguments Box (options):

Qubic Resources

• Qubic Website
• Qubic Web Wallet
• Qubic Mining Pool
• Official Qubic Client

⚠️ HiveOs Mandatory Installation Instructions

• The CPU where you run the Client must support AVX2 or AVX512 CPU instructions cat /proc/cpuinfo | grep avx2(check if avx2 is in the result)
• To run the Qubic miner, you need the beta version of HiveOS. /hive/sbin/hive-replace --beta --yes
• Cuda 12+ drivers (525+)
• Cuda 12 for 1000 series must be 535+ nvidia-driver-update 535.146.02 (or newer)
• RAM >= 16Go improves CPU it/s
• Higher RAM frequencies improves CPU it/s
• Do not overload your CPUs with threads, instead, aim to find the sweetpoint

Note

The defualt configuration is vor NVIDIA. To enable AMD GPU you need to add "trainer": {"gpu":true,"gpuVersion": "AMD"} to Extra config arguments.

Important

AMD Version was tested with hiveos version 6.1.0-hiveos and AMD drivers 5.7.3. Please take this as minimum requirenments. AMD Version is currently only allowed in qubic.li CPU/GPU Mining (Fixed Reward 85%)

Flight Sheet Configuration

The startup script takes values from the flight sheet to complete the default configuration (appsettings_global.json).

Each time the miner starts, the appsettings.json file is recreated

Important

For CPU you have to define which Version should be used. The cpuVersion propery can be used. Please refer to https://github.com/qubic-li/client/?tab=readme-ov-file#qli-trainer-options for a list of available versions. You can also find there all other available options.

GPU+CPU (Dual) mining:

Extra config arguments exemple:

nvtool --setcoreoffset 200 --setclocks 1600 --setmem 7000 --setmemoffset 2000
"accessToken":"YOUROWNTOKEN"
"amountOfThreads":4
"trainer": {"cpuVersion": "GENERIC"}

Sample Configuration for AMD GPU's

"amountOfThreads":4
"trainer": {"gpu":true,"gpuVersion": "AMD", "cpuVersion": "GENERIC"}
"accessToken":"YOUROWNTOKEN"

GPU mining:

Extra config arguments exemple:

nvtool --setcoreoffset 200 --setclocks 1600 --setmem 7000 --setmemoffset 2000
"accessToken":"YOUROWNTOKEN"

Sample Configuration for AMD GPU's

"trainer": {"gpu":true,"gpuVersion": "AMD"}
"accessToken":"YOUROWNTOKEN"

CPU mining:

Extra config arguments exemple:

"cpuOnly":"yes"
"amountOfThreads":24
"accessToken":"YOUROWNTOKEN"
"trainer": {"cpu":true,"cpuVersion": "GENERIC"}

🔧 Hive Os Settings

Miner Configuration

• Miner name: Automatically filled with the installation URL.
• Installation URL: https://github.com/qubic-li/hiveos/releases/download/v1.9.5/qubminer-1.9.5.tar.gz
• Hash algorithm: Not used, leave as ----.
• Wallet and worker template: Worker name. Value of "alias" in appsettings.json.
• Pool URL: Value of "baseUrl" in appsettings.json. Use https://mine.qubic.li/ for the pool app.qubic.li.
• Pass: Not used.
• Extra config arguments: Each line is merged into appsettings.json.

Recommended GPU overclocks :

Medium
3000 series nvtool --setcoreoffset 250 --setclocks 1500 --setmem 5001
4000 series nvtool --setcoreoffset 250 --setclocks 2400 --setmem 5001
High
3000 series nvtool --setcoreoffset 200 --setclocks 1600 --setmem 7000 --setmemoffset 2000
4000 series nvtool --setcoreoffset 200 --setclocks 2900 --setmem 7000 --setmemoffset 2000

Extra config arguments Box (options):

Setting	Description
"accessToken":	This is you personal JWT Token which you can obtain from the Control Panel at qubic.li
"payoutId":	This is the ID you want to get token payout for your found solutions.
"hugePages":nnnn	Depending on your environment you might want to enable huge pages. This can increase your iterations per second. The trainer will tell you what is the optimal setting when it detects a wrong value. The number depends on the number of threads: nb_threads * 52 (e.g., 16 * 52 = 832). If trainer is unstable please remove.
"overwrites": {"AVX512": false}	Disable AVX512 and enforce AVX2 (AVX Intel CPU not working)
"overwrites": {"SKYLAKE": true}	Enforce SKYLAKE (AVX Intel CPU not working)
"trainer": {"gpu": true, "gpVersion": "AMD"}	Enforce AMD