recipes: glm52-mxfp4-experts-gptq

recipes/glm52-mxfp4-experts-gptq/recipe.toml

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+# GLM-5.2 MXFP4-Experts-GPTQ — 4× DGX Spark (GB10, sm_121a), TP=4.
+#
+# Model: aidendle94/GLM-5.2-MXFP4-Experts-GPTQ
+#   → https://huggingface.co/aidendle94/GLM-5.2-MXFP4-Experts-GPTQ
+#
+# GPTQ-quantized MXFP4 experts for GLM-5.2 (744B MoE, 256 experts/layer,
+# 8 activated per token, 78 layers, sparse-MLA). Experts quantized to
+# MXFP4 via GPTQ; non-expert layers (attention, indexer, router, lm_head)
+# kept in BF16.
+#
+# Image: aidendle94/sparkrun-vllm-ds4-gb10:production-hybrid-1.2
+#   vLLM + b12x suite with hybrid_mxfp4_ct quant config, index-authoritative
+#   loader, NVFP4 KV cache with per-token scaling, sparse-MLA CKV gather.
+#
+# PREREQUISITES:
+#   - Weights cached on every node via HF_HOME:
+#       huggingface-cli download aidendle94/GLM-5.2-MXFP4-Experts-GPTQ
+#     (requires free disk on each node)
+#
+# REFERENCE:
+#   https://forums.developer.nvidia.com/t/glm-5-2-hybrid-fp8-nvfp4-mxfp4-optimal-runtime-recipe/377598
+#   https://huggingface.co/aidendle94/GLM-5.2-MXFP4-Experts-GPTQ
+
+engine = "vllm"
+name = "GLM-5.2 MXFP4-Experts-GPTQ (vLLM)"
+docker_image = "sparkrun-vllm-ds4-gb10:glm52"
+model = "aidendle94/GLM-5.2-MXFP4-Experts-GPTQ"
+parent_model = "zai-org/GLM-5.2"
+required_nodes = 4
+tensor_parallel_size = 4
+pipeline_parallel_size = 1
+distributed_backend = "mp"
+shm_size = "10gb"
+docker_image_dir = "glm52"
+
+entrypoint = ["vllm", "serve"]
+
+args = [
+    # Model name
+    "--served-model-name", "glm52",
+    # General
+    "--trust-remote-code",
+    "--reasoning-parser", "glm45",
+    "--tool-call-parser", "glm47",
+    "--enable-auto-tool-choice",
+    "--enable-prefix-caching",
+    # DCP (Decode Context Parallelism)
+    "--decode-context-parallel-size", "4",
+    "--dcp-comm-backend", "ag_rs",
+    # Engine backends
+    "--attention-backend", "B12X_MLA_SPARSE",
+    # HF overrides — 78-char index_topk_pattern (GLM-5.2 MLP/expert routing)
+    "--hf-overrides", """
+'{"index_topk_pattern":"FFFSSSFSSSFSSSFSSSFSSSFSSSFSSSFSSSFSSSFSSSFSSSFSSSFSSSFSSSFSSSFSSSFSSSFSSSFSSS"}'""",
+    # KV cache — NVFP4 with per-token scaling (nvfp4_ds_mla)
+    "--kv-cache-dtype", "nvfp4_ds_mla",
+    "--kv-cache-memory-bytes", "5500000000",
+    # Context & batch config
+    "--max-model-len", "262144",
+    "--max-num-batched-tokens", "2048",
+    "--max-num-seqs", "3",
+    "--gpu-memory-utilization", "0.89",
+    # Speculative decode — MTP k=4 with adaptive depths
+    # {{mtp_draft}} is substituted per-node with the resolved HF cache path
+    # (refs/main → latest snapshot) so symlinks resolve correctly.
+    "--speculative-config", """
+'{"model":"{{mtp_draft}}","method":"mtp","num_speculative_tokens":4,"draft_attention_backend":"B12X_MLA_SPARSE","adaptive_speculative_tokens_window":32}'""",
+    # Compilation — FULL_AND_PIECEWISE with all custom ops, 8 capture sizes
+    "--compilation-config", """
+'{"cudagraph_mode":"FULL_AND_PIECEWISE","custom_ops":["all"],"cudagraph_capture_sizes":[1,2,3,4,5,6,8]}'""",
+    # Timeout safety net (cold boot: ranks finish minutes apart)
+    "--distributed-timeout-seconds", "3600",
+    "--cpu-distributed-timeout-seconds", "3600",
+]
+
+# Persistent JIT/torch-inductor cache (avoids ~20 min recompilation on cold boot).
+# `alias = "jit_cache"` resolves via [mount_aliases] in config.toml; if absent,
+# falls back to host "~/.cache/jit" (expanded to /home/<ssh_user>/.cache/jit).
+# `env` injects -e XDG_CACHE_HOME=/root/.cache/jit so vLLM/torch write there.
+[[extra_mounts]]
+alias = "jit_cache"
+host = "~/.cache/jit"
+container = "/root/.cache/jit"
+env = "XDG_CACHE_HOME"
+
+# MTP draft model — a subfolder of the main GLM-5.2 repo. Resolved at serve
+# time, per node, from the HF cache (refs/main → latest snapshot), so the
+# path survives `huggingface-cli download` updates without a fragile symlink.
+# The recipe references {{mtp_draft}} in --speculative-config; the launcher
+# substitutes the resolved full HF cache path per-node (no bind-mount — the
+# HF cache is already mounted at /root/.cache/huggingface, so symlinks
+# resolve correctly).
+[[extra_mounts]]
+repo = "aidendle94/GLM-5.2-MXFP4-Experts-GPTQ"
+subfolder = "mtp-draft"
+container = "mtp_draft"
+
+
+[env]
+# ── b12x suite ────────────────────────────────────────────────────────────
+VLLM_USE_V2_MODEL_RUNNER = "1"
+VLLM_USE_B12X_MOE = "1"
+VLLM_USE_B12X_SPARSE_INDEXER = "1"
+VLLM_DCP_SHARD_DRAFT = "1"
+VLLM_DCP_GLOBAL_TOPK = "1"
+VLLM_DSV4_INDEXER_SP = "1"
+
+# ── MLA CKV gather (sparse gather for decode) ─────────────────────────────
+VLLM_B12X_MLA_CKV_GATHER = "1"
+VLLM_B12X_MLA_CKV_GATHER_MAX_TOKENS = "262144"
+VLLM_B12X_MLA_DECODE_SPARSE_GATHER = "1"
+VLLM_B12X_MLA_DECODE_GATHER_V2 = "1"
+
+# ── Speculative decode ────────────────────────────────────────────────────
+VLLM_ADAPTIVE_SPEC_DEPTHS = "2,4"
+
+# ── NVFP4 KV cache ────────────────────────────────────────────────────────
+VLLM_NVFP4_MLA_PER_TOKEN_SCALE = "1"
+
+# ── Timeout safety net ────────────────────────────────────────────────────
+VLLM_ENGINE_READY_TIMEOUT_S = "3600"
+VLLM_EXECUTE_MODEL_TIMEOUT_SECONDS = "1800"
+VLLM_ALLOW_LONG_MAX_MODEL_LEN = "1"
+
+# ── MUST unset baked VLLM_PREFIX_CACHE_RETENTION_INTERVAL ─────────────────
+# The image bakes a value that GLM-5.2's KV coordinator rejects.
+# Empty string = unset at runtime.
+VLLM_PREFIX_CACHE_RETENTION_INTERVAL = ""
+
+# ── Architecture (aarch64/sm_121a DGX Spark) ──────────────────────────────
+CUTE_DSL_ARCH = "sm_121a"
+TORCH_CUDA_ARCH_LIST = "12.1a"
+
+# ── JIT cache ──────────────────────────────────────────────────────────────
+# Persisted via the [[extra_mounts]] jit_cache entry above: XDG_CACHE_HOME is
+# injected from that mount, pointing at /root/.cache/jit (no hardcoded dupe).
+
+# ── NCCL overrides ─────────────────────────────────────────────────────────
+# Cluster config provides NCCL_IB_HCA, NCCL_IB_GID_INDEX, NCCL_SOCKET_IFNAME
+# Launcher defaults: NCCL_IGNORE_CPU_AFFINITY=1, NCCL_NET=IB, NCCL_DEBUG=WARN
+NCCL_IB_DISABLE = "0"             # enable IB (override launcher default)
+NCCL_MAX_NCHANNELS = "4"
+NCCL_MIN_NCHANNELS = "4"
+NCCL_CUMEM_ENABLE = "0"
+
+# ── Compute ────────────────────────────────────────────────────────────────
+OMP_NUM_THREADS = "4"
+
+# Volumes not needed — model is a Hugging Face Hub ID, downloaded via HF_HOME