Merge pull request #80 from oliverjohnwilson/recipe-add_minimax-m2.5_qwen3.5-397b-a17B-fp8

added minimax-m2.5 and qwen3.5-397b-a17B-fp8 recipes to a recipes/4x-spark-cluster/ subdirectory

recipes/4x-spark-cluster/minimax-m2.5.yaml

@@ -0,0 +1,45 @@
+# Recipe: MiniMax-M2.5
+# MiniMaxAI/MiniMax-M2.5
+
+recipe_version: "1"
+name: MiniMax-M2.5
+description: vLLM serving MiniMax-M2.5 with Ray distributed backend
+
+# HuggingFace model to download (optional, for --download-model)
+model: MiniMaxAI/MiniMax-M2.5
+
+# Container image to use
+container: vllm-node
+
+# Can only be run in a cluster
+cluster_only: true
+
+# No mods required
+mods: []
+
+# Default settings (can be overridden via CLI)
+defaults:
+  port: 8000
+  host: 0.0.0.0
+  tensor_parallel: 4
+  gpu_memory_utilization: 0.90
+  max_model_len: 128000
+
+# Environment variables
+env:
+  VLLM_DISTRIBUTED_EXECUTOR_CONFIG: '{"placement_group_options":{"strategy":"SPREAD"}}'
+
+# The vLLM serve command template
+command: |
+  vllm serve MiniMaxAI/MiniMax-M2.5 \
+      --trust-remote-code \
+      --port {port} \
+      --host {host} \
+      --gpu-memory-utilization {gpu_memory_utilization} \
+      -tp {tensor_parallel} \
+      --distributed-executor-backend ray \
+      --max-model-len {max_model_len} \
+      --load-format fastsafetensors \
+      --enable-auto-tool-choice \
+      --tool-call-parser minimax_m2 \
+      --reasoning-parser minimax_m2_append_think

recipes/4x-spark-cluster/qwen3.5-397b-a17B-fp8.yaml

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+# Recipe: Qwen3.5-397B-A17B-FP8
+# Qwen3.5-397B-A17B model in FP8 precision
+# Multi-modal input
+
+recipe_version: "1"
+name: Qwen3.5-397B-A17B-FP8
+description: vLLM serving Qwen3.5-397B-A17B-FP8
+
+# HuggingFace model to download (optional, for --download-model)
+model: Qwen/Qwen3.5-397B-A17B-FP8
+
+#solo_only: true
+
+# Container image to use
+container: vllm-node-tf5
+
+build_args:
+  - --tf5
+  - --rebuild-flashinfer
+  - --rebuild-vllm
+
+# Mod required to fix ROPE syntax error
+mods:
+  - mods/fix-qwen3.5-autoround
+
+# Default settings (can be overridden via CLI)
+defaults:
+  port: 8000
+  host: 0.0.0.0
+  tensor_parallel: 4
+  gpu_memory_utilization: 0.85
+  max_model_len: 262144
+  max_num_batched_tokens: 8192
+
+# Environment variables
+env: 
+  VLLM_USE_DEEP_GEMM: 0
+  VLLM_USE_FLASHINFER_MOE_FP16: 1
+  VLLM_USE_FLASHINFER_SAMPLER: 0
+  OMP_NUM_THREADS: 4
+
+# The vLLM serve command template
+command: |
+  vllm serve Qwen/Qwen3.5-397B-A17B-FP8 \
+    --max-model-len {max_model_len} \
+    --gpu-memory-utilization {gpu_memory_utilization} \
+    --port {port} \
+    --host {host} \
+    --load-format fastsafetensors \
+    --enable-prefix-caching \
+    --enable-auto-tool-choice \
+    --tool-call-parser qwen3_coder \
+    --reasoning-parser qwen3 \
+    --max-num-batched-tokens {max_num_batched_tokens} \
+    --trust-remote-code \
+    -tp {tensor_parallel} \
+    --distributed-executor-backend ray \
+    --mm-encoder-tp-mode data \
+    --kv-cache-dtype fp8 \
+    --compilation-config.cudagraph_mode none \
+    --max-num-seqs 32 \
+    --attention-backend flashinfer
+