AI LLM MiniMax’s M2-series ‚minimax-m2.7:cloud‘ – for coding agentic workflows and professional productivity and 100% free

root@ra-llm-01:~# ollama run minimax-m2.7:cloud
You need to be signed in to Ollama to run Cloud models.
If your browser did not open, navigate to:
https://ollama.com/connect?name=ra-llm-01&key=<…>
root@ra-llm-01:~# ollama list
NAME ID SIZE MODIFIED
minimax-m2.7:cloud 06daa293c105 – 36 seconds ago
qwen3-coder:30b 06c1097efce0 18 GB 24 hours ago
llama3.1:8b 46e0c10c039e 4.9 GB 6 weeks ago
ministral-3:14b 4760c35aeb9d 9.1 GB 2 months ago
root@ra-llm-01:~#
root@ra-llm-01:~# ollama launch claude –model minimax-m2.7:cloud
To use minimax-m2.7:cloud, please sign in.
Navigate to:
https://ollama.com/connect?name=ra-llm-
01&key=<…>
⠙ Waiting for sign in to complete…
esc cancel
Launching Claude Code with minimax-m2.7:cloud…
────────────────────────────────────────────────────────────────────────────────
Accessing workspace:
/tmp
Quick safety check: Is this a project you created or one you trust? (Like your
own code, a well-known open source project, or work from your team). If not,
take a moment to review what’s in this folder first.
Claude Code’ll be able to read, edit, and execute files here.
Security guide
❯ 1. Yes, I trust this folder
2. No, exit
❯ give me the spec of the pc
● Bash(lshw -short 2>/dev/null || cat /proc/cpuinfo && echo „—MEMORY—“ && free -h && echo „—DISKS—“ && lsblk -d -o NAME,SIZE,TYPE && echo „—GPU—“ && lspci…)
⎿  H/W path Device Class Description
==========================================================
system CELSIUS M730 (S26361-Kxxx-Vyyy)
… +60 lines (ctrl+o to expand)
● PC Specifications:
┌───────────┬────────────────────────────────────────────────────────────────┐
│ Component │ Details │
├───────────┼────────────────────────────────────────────────────────────────┤
│ System │ Fujitsu CELSIUS M730 (workstation) │
├───────────┼────────────────────────────────────────────────────────────────┤
│ CPU │ Intel Xeon E5-2620 v2 @ 2.10GHz (6 cores, 12 threads) │
├───────────┼────────────────────────────────────────────────────────────────┤
│ RAM │ 64 GB DDR3 1333 MHz (8x 8GB DIMMs) │
├───────────┼────────────────────────────────────────────────────────────────┤
│ Storage │ 500GB Samsung SSD 850 │
├───────────┼────────────────────────────────────────────────────────────────┤
│ GPU │ 4x NVIDIA Tesla M10 (GM107GL) + AMD Radeon X800 GT (secondary) │
├───────────┼────────────────────────────────────────────────────────────────┤
│ Network │ Intel 82579LM Gigabit Ethernet │
├───────────┼────────────────────────────────────────────────────────────────┤
│ Audio │ Intel C600/X79 HD Audio │
├───────────┼────────────────────────────────────────────────────────────────┤
│ OS │ Linux (EFI partition ~453GB on sda3) │
└───────────┴────────────────────────────────────────────────────────────────┘
Summary: A Fujitsu workstation with a 6-core Xeon CPU, 64GB ECC RAM, and 4 Tesla M10 GPUs — designed for compute-intensive workloads like virtualization or rendering.
───────────────────
❯ 
───────────────────
root@ra-llm-01:~#

This entry was posted on Samstag, März 21st, 2026 at 16:38 and is filed under Administration, AI. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.

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