MLNode 3.0.14 & Minimax m2.7#1260
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…gs (#1143) Follow-up to gonka-ai/gonka#1260 (MLNode 3.0.14 & MiniMax M2.7). - Add MiniMaxAI/MiniMax-M2.7 to the Supported models table and the Proposed Hardware Configuration table (4xA100 / 4xH100 / 2xH200 / 2xB200, ~320 GB VRAM). - Add a "Reference deploy configs in the repo" tip pointing to every node-config-*.json in deploy/join/ for Qwen, Kimi, and MiniMax, so hosts can copy a ready file instead of writing one from scratch. - Add new tabs in the "Edit Inference Node Description" section, mirroring the JSON files shipped in gonka/deploy/join/: * Qwen — 8xB200 * Kimi — 8xH200 (FLASHMLA, tp=8) * MiniMax — 4xA100 (marlin MoE + VLLM_USE_FLASHINFER_MOE_FP8=0) * MiniMax — 4xH100 (FLASHINFER + fp8 kv-cache) * MiniMax — 2xH200 (FLASHINFER + fp8 kv-cache; matches the configuration used to record MiniMax PoC golden vectors) * MiniMax — 2xB200 (FLASHINFER_TRTLLM MoE + fp8 kv-cache) - Add a MiniMax M2.7 tab in the Pre-download Model Weights section with the huggingface-cli command and the MLNode 3.0.14 / A100 env var note. - Add a MiniMax delegation example in the "Optional: PoC delegation and refusal" section. All vLLM argument sets are taken verbatim from the JSON files in gonka/deploy/join/ so docs and repo stay in sync. Co-authored-by: Cursor <cursoragent@cursor.com>
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zachas0x-cpu
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