Recipe
glm53-flash-exl3-tr3-4bpw-dflash2-rtxpro6000-vllm-tp4
glm53-flash-exl3-tr3-4bpw-dflash2-rtxpro6000-vllm-tp4Runtime-validated four-GPU 499,968-token extension of the publisher-qualified GLM-5.3 Flash TR3 EXL3 4bpw profile. Uses TP4/EP4/DCP4, B12X sparse MLA, NVFP4 MLA KV, external DFlash2-7, and full-and-piecewise CUDA graphs. CUDA_DEVICE_MAX_CONNECTIONS=1 and an explicit 1-64 capture set prevent a multi-stream B12X graph-warmup race while retaining the complete C8 DFlash graph shape.
Record
- Status
- validated
- Source
- 0xsero
- Engine
- vllm
- Engine version
- 0.1.dev20111+g7f1e92bec.d20260827
- Graph
- full-and-piecewise CUDA graphs through 64 target tokens; DFlash2 full graph capture through 8 requests
- Accelerators
- 4
- Tensor parallel
- 4
- Context tokens
- 499,968
- Max concurrency
- 8
- KV cache tokens
- 10,862,941
- chat
- yes
- reasoning
- yes
- tools
- yes
- vision
- no
Hugging Face model card
Identity
https://huggingface.co/brandonmusic/GLM-5.3-Flash-tr3-4bpw- Repository
- brandonmusic/GLM-5.3-Flash-tr3-4bpw
- Status
- known
- Link type
- Exact Hub repository
Public Hugging Face repository confirmed by the Hub API.
Validated: pinned artifact, pinned runtime, and accepted evidence. This is a launch contract.
Docker configuration
vllm
Container · validated · docker
Validated launch contract
- Image
verdictai/glm53-flash-exl3-k4:r19-sm120-tp2-ep2-dcp2-v84-language-only@sha256:0f1cdcc8891f1cc3a444121eb61d366289a1cbba285f0892dcbb24bc94961692- Digest
sha256:0f1cdcc8891f1cc3a444121eb61d366289a1cbba285f0892dcbb24bc94961692- Port
- 8000
Launch arguments
serve/model--served-model-nameglm-5.3-flash--host0.0.0.0--port8000--language-model-only--tensor-parallel-size4--enable-expert-parallel--decode-context-parallel-size4--dcp-comm-backenda2a--dtypebfloat16--load-formatsafetensors--moe-backendb12x--attention-backendB12X_MLA_SPARSE--kv-cache-dtypenvfp4_ds_mla--max-model-len499968--max-num-batched-tokens1024--max-num-seqs8--compilation-config{"cudagraph_capture_sizes":[1,2,4,8,16,24,32,40,48,56,64]}--gpu-memory-utilization0.986--enable-chunked-prefill--no-enable-prefix-caching--generation-config/model--reasoning-parserglm45--tool-call-parserglm47--enable-auto-tool-choice--disable-custom-all-reduce--speculative-config{"method":"dflash","model":"/draft","num_speculative_tokens":7,"draft_tensor_parallel_size":4,"draft_sample_method":"probabilistic","rejection_sample_method":"standard","attention_backend":"TRITON_ATTN","kv_cache_dtype":"auto"}
| Flag | Value |
|---|---|
--served-model-name | glm-5.3-flash |
--host | 0.0.0.0 |
--port | 8000 |
--tensor-parallel-size | 4 |
--decode-context-parallel-size | 4 |
--dcp-comm-backend | a2a |
--dtype | bfloat16 |
--load-format | safetensors |
--moe-backend | b12x |
--attention-backend | B12X_MLA_SPARSE |
--kv-cache-dtype | nvfp4_ds_mla |
--max-model-len | 499968 |
--max-num-batched-tokens | 1024 |
--max-num-seqs | 8 |
--compilation-config | {"cudagraph_capture_sizes":[1,2,4,8,16,24,32,40,48,56,64]} |
--gpu-memory-utilization | 0.986 |
--generation-config | /model |
--reasoning-parser | glm45 |
--tool-call-parser | glm47 |
--speculative-config | {"method":"dflash","model":"/draft","num_speculative_tokens":7,"draft_tensor_parallel_size":4,"draft_sample_method":"probabilistic","rejection_sample_method":"standard","attention_backend":"TRITON_ATTN","kv_cache_dtype":"auto"} |
Environment
| Variable | Value |
|---|---|
B12X_GL53_ROUTE128_HYBRID_TAIL | 1 |
B12X_GL53_ROUTE128_WIDE | 1 |
CUDA_DEVICE_MAX_CONNECTIONS | 1 |
KV_FP8_ROPE | 0 |
NCCL_IB_DISABLE | 1 |
NCCL_P2P_LEVEL | 4 |
OMP_NUM_THREADS | 2 |
VLLM_B12X_GLM_NOPE_NVFP4 | 1 |
VLLM_ENABLE_PCIE_ALLREDUCE | 1 |
VLLM_ENGINE_READY_TIMEOUT_S | 3600 |
VLLM_EXL3_PREFILL_BLOCK_M | 64 |
VLLM_EXL3_PREFILL_TRELLIS | 1 |
VLLM_NVFP4_MLA_DYNAMIC_SCALE | 0 |
VLLM_NVFP4_MLA_SCALES_FILE | /opt/glm53/calibration/glm53_nvfp4_mla_outer_scales_mtp_power2_v2.json |
VLLM_PCIE_ALLREDUCE_BACKEND | cpp |
VLLM_USE_B12X_DCP_A2A | 1 |
Mounts
| Source | Target |
|---|---|
${MODEL_ROOT}/GLM-5.3-Flash-tr3-4bpw | /model (read-only) |
${MODEL_ROOT}/GLM-5.3-Flash-DFlash2 | /draft (read-only) |
${MODEL_ROOT}/cache_glm53_tr3_dflash_v84_tp4 | /cache |
Launch
Exact materialization of this validated launch contract: digest-pinned image, pinned model revision, and the audited arguments. Self-contained — required assets are fetched from this registry and verified against their recorded sha256 before mounting. Also available as local-ai run glm53-flash-exl3-tr3-4bpw-dflash2-rtxpro6000-vllm-tp4.
- Pulls the exact container image by sha256 digest — the bytes that were validated, not a floating tag.
- Fetches any required engine assets from this registry and verifies each against its recorded sha256; the audited launch script verifies them again inside the container before use.
- Downloads the pinned model revision into your Hugging Face cache on first run (reused afterwards).
- Serves an OpenAI-compatible API on
localhost:8000— point any client at it.
docker run --rm \
--gpus all \
--ipc host \
--shm-size 32g \
-p 8000:8000 \
-e B12X_GL53_ROUTE128_HYBRID_TAIL=1 \
-e B12X_GL53_ROUTE128_WIDE=1 \
-e CUDA_DEVICE_MAX_CONNECTIONS=1 \
-e KV_FP8_ROPE=0 \
-e NCCL_IB_DISABLE=1 \
-e NCCL_P2P_LEVEL=4 \
-e OMP_NUM_THREADS=2 \
-e VLLM_B12X_GLM_NOPE_NVFP4=1 \
-e VLLM_ENABLE_PCIE_ALLREDUCE=1 \
-e VLLM_ENGINE_READY_TIMEOUT_S=3600 \
-e VLLM_EXL3_PREFILL_BLOCK_M=64 \
-e VLLM_EXL3_PREFILL_TRELLIS=1 \
-e VLLM_NVFP4_MLA_DYNAMIC_SCALE=0 \
-e VLLM_NVFP4_MLA_SCALES_FILE=/opt/glm53/calibration/glm53_nvfp4_mla_outer_scales_mtp_power2_v2.json \
-e VLLM_PCIE_ALLREDUCE_BACKEND=cpp \
-e VLLM_USE_B12X_DCP_A2A=1 \
-v '${MODEL_ROOT}/GLM-5.3-Flash-tr3-4bpw:/model:ro' \
-v '${MODEL_ROOT}/GLM-5.3-Flash-DFlash2:/draft:ro' \
-v '${MODEL_ROOT}/cache_glm53_tr3_dflash_v84_tp4:/cache' \
verdictai/glm53-flash-exl3-k4:r19-sm120-tp2-ep2-dcp2-v84-language-only@sha256:0f1cdcc8891f1cc3a444121eb61d366289a1cbba285f0892dcbb24bc94961692 \
serve \
/model \
--served-model-name \
glm-5.3-flash \
--host \
0.0.0.0 \
--port \
8000 \
--language-model-only \
--tensor-parallel-size \
4 \
--enable-expert-parallel \
--decode-context-parallel-size \
4 \
--dcp-comm-backend \
a2a \
--dtype \
bfloat16 \
--load-format \
safetensors \
--moe-backend \
b12x \
--attention-backend \
B12X_MLA_SPARSE \
--kv-cache-dtype \
nvfp4_ds_mla \
--max-model-len \
499968 \
--max-num-batched-tokens \
1024 \
--max-num-seqs \
8 \
--compilation-config \
'{"cudagraph_capture_sizes":[1,2,4,8,16,24,32,40,48,56,64]}' \
--gpu-memory-utilization \
0.986 \
--enable-chunked-prefill \
--no-enable-prefix-caching \
--generation-config \
/model \
--reasoning-parser \
glm45 \
--tool-call-parser \
glm47 \
--enable-auto-tool-choice \
--disable-custom-all-reduce \
--speculative-config \
'{"method":"dflash","model":"/draft","num_speculative_tokens":7,"draft_tensor_parallel_size":4,"draft_sample_method":"probabilistic","rejection_sample_method":"standard","attention_backend":"TRITON_ATTN","kv_cache_dtype":"auto"}'Measured speed
| Concurrency | Context | Prefill | Decode | TTFT ms | Status | Sweep |
|---|---|---|---|---|---|---|
| 1 | 0 | — | 185.3 | 71.1 | observed | glm53-flash-exl3-tr3-4bpw-dflash2-rtxpro6000-vllm-tp4-sweep |
| 2 | 0 | — | 123.8 | 118.9 | observed | glm53-flash-exl3-tr3-4bpw-dflash2-rtxpro6000-vllm-tp4-sweep |
| 4 | 0 | — | 85.8 | 427.1 | observed | glm53-flash-exl3-tr3-4bpw-dflash2-rtxpro6000-vllm-tp4-sweep |
| 8 | 0 | — | 45.3 | 301 | observed | glm53-flash-exl3-tr3-4bpw-dflash2-rtxpro6000-vllm-tp4-sweep |
Remaining fields
Identity, launch, related records, and measured speed are shown above. This is the rest of the normalized record.
- hardware count
- 4
- hardware id
- rtx-pro-6000-blackwell-96gb
- id
- glm53-flash-exl3-tr3-4bpw-dflash2-rtxpro6000-vllm-tp4
- model instance id
- brandonmusic-glm-5-3-flash-tr3-4bpw--exl3-4bpw
- recipe source
- 0xsero
- schema version
- local-ai-registry/v1
- speed sweep ids
- glm53-flash-exl3-tr3-4bpw-dflash2-rtxpro6000-vllm-tp4-sweep
- status
- validated
capabilities
- chat
- Yes
- reasoning
- Yes
- tools
- Yes
- vision
- No
engine
- graph mode
- full-and-piecewise CUDA graphs through 64 target tokens; DFlash2 full graph capture through 8 requests
- name
- vllm
- version
- 0.1.dev20111+g7f1e92bec.d20260827
serving
- kv cache tokens
- 10,862,941
- max concurrency
- 8
- max context tokens
- 499,968
- tensor parallel
- 4
Provenance & metadata (3)
facts
metadata
- acceptance · c8 all streams active
- Yes
- acceptance · completion
- Yes
- acceptance · cuda graph capture
- Yes
- acceptance · dflash active
- Yes
- acceptance · health
- Yes
- acceptance · long context prompt tokens
- 496,045
- acceptance · model discovery
- Yes
- acceptance · omp end to end
- Yes
- acceptance · tools
- Yes
- benchmark · c1 decode tok s
- 185.298
- benchmark · c2 aggregate decode tok s
- 243.819
- benchmark · c4 aggregate decode tok s
- 327.323
- benchmark · c8 aggregate decode tok s
- 345.03
- benchmark · method
- concurrent streaming finite burst, 512 completion tokens per stream, OpenAI usage accounting
- benchmark · profile note
- C1-C8 speed sweep was measured on the earlier 98,304-token profile with a 2,048-token scheduler chunk. After promotion to the 499,968-token profile and 1,024-token chunk, C8 was revalidated with all streams active at 229.59 aggregate tok/s over 64 completion tokens per stream.
- checkpoint target tensor parallel
- 2
- experimental runtime tensor parallel
- 4
- full context resident concurrency
- 21.73
- kv cache memory gib per gpu
- 47.33
- kv headroom note
- The validated 499,968-token profile allocated 10,862,941 KV tokens and reports 21.73 full-context resident requests, exceeding the requested C8 capacity.
- local power limit w each
- 275
- long context acceptance · completion tokens
- 8
- long context acceptance · elapsed seconds
- 383.542
- long context acceptance · finish reason
- length
- long context acceptance · prompt tokens
- 496,045
- long context acceptance · uncached
- Yes
- runtime state
- runtime-tested
provenance
- captured at
- 2026-08-28T23:44:12Z
sources
| captured at | kind | url |
|---|---|---|
| 2026-08-28T23:44:12Z | model-card | huggingface.co/brandonmusic/GLM-5.3-Flash-tr3-4bpw ↗ |
| 2026-08-28T23:44:12Z | runtime-acceptance | github.com/0xSero/local-ai-registry ↗ |