GLM-4.6 VRAM & Memory Requirements

Specific checkpoints with sourced architecture and weight files. GGUF Q4_K_M (Unsloth): 203.78 GiB–208.37 GiB at 8,192 tokens, 1 sequence, FP16 KV, llama.cpp.

This result is an estimate, not a measured trace.Not verifiedFile-backed weights

Publisher and provenance

PublisherZhipu AI
Hugging Facezai-org/GLM-4.6
Revisionbe72194883d968d7923a07e2f61681ea9a2826d1
Total parameters356,785,898,816
Active parametersUnknown / not independently sourced
Layers92
Query heads96
KV heads8 (gqa)
Head dimension128
Recorded context capability202,752
Completenesscomplete · full

Active parameters describe tokens' routed compute, not the full resident model weight footprint. Full-resident weight estimates use total parameters.

Memory layers in this estimate

Artifact bytes, raw KV, engine extras, and total demand are separate. This is not a runtime trace.

Weight artifact: 200.78 GiB (215,582,633,056 bytes)
Raw KV cache: 2.88 GiB (3,087,007,744 bytes)
Engine extras / workspace: 0.13 GiB–4.72 GiB
Total estimated demand: 203.78 GiB–208.37 GiB

Published artifacts

Quantization	Selected files	Bytes	Engine	Evidence
BF16 safetensors bf16 Calculator: BF16 safetensors	93 safetensors shards Total selected bytes: 352,797,829,024 (328.57 GiB / 352.80 GB) First shard: model-00001-of-00092.safetensors Last shard: mtp.safetensors View all 93 shard files `model-00001-of-00092.safetensors` `model-00002-of-00092.safetensors` `model-00003-of-00092.safetensors` `model-00004-of-00092.safetensors` `model-00005-of-00092.safetensors` `model-00006-of-00092.safetensors` `model-00007-of-00092.safetensors` `model-00008-of-00092.safetensors` `model-00009-of-00092.safetensors` `model-00010-of-00092.safetensors` `model-00011-of-00092.safetensors` `model-00012-of-00092.safetensors` `model-00013-of-00092.safetensors` `model-00014-of-00092.safetensors` `model-00015-of-00092.safetensors` `model-00016-of-00092.safetensors` `model-00017-of-00092.safetensors` `model-00018-of-00092.safetensors` `model-00019-of-00092.safetensors` `model-00020-of-00092.safetensors` `model-00021-of-00092.safetensors` `model-00022-of-00092.safetensors` `model-00023-of-00092.safetensors` `model-00024-of-00092.safetensors` `model-00025-of-00092.safetensors` `model-00026-of-00092.safetensors` `model-00027-of-00092.safetensors` `model-00028-of-00092.safetensors` `model-00029-of-00092.safetensors` `model-00030-of-00092.safetensors` `model-00031-of-00092.safetensors` `model-00032-of-00092.safetensors` `model-00033-of-00092.safetensors` `model-00034-of-00092.safetensors` `model-00035-of-00092.safetensors` `model-00036-of-00092.safetensors` `model-00037-of-00092.safetensors` `model-00038-of-00092.safetensors` `model-00039-of-00092.safetensors` `model-00040-of-00092.safetensors` `model-00041-of-00092.safetensors` `model-00042-of-00092.safetensors` `model-00043-of-00092.safetensors` `model-00044-of-00092.safetensors` `model-00045-of-00092.safetensors` `model-00046-of-00092.safetensors` `model-00047-of-00092.safetensors` `model-00048-of-00092.safetensors` `model-00049-of-00092.safetensors` `model-00050-of-00092.safetensors` `model-00051-of-00092.safetensors` `model-00052-of-00092.safetensors` `model-00053-of-00092.safetensors` `model-00054-of-00092.safetensors` `model-00055-of-00092.safetensors` `model-00056-of-00092.safetensors` `model-00057-of-00092.safetensors` `model-00058-of-00092.safetensors` `model-00059-of-00092.safetensors` `model-00060-of-00092.safetensors` `model-00061-of-00092.safetensors` `model-00062-of-00092.safetensors` `model-00063-of-00092.safetensors` `model-00064-of-00092.safetensors` `model-00065-of-00092.safetensors` `model-00066-of-00092.safetensors` `model-00067-of-00092.safetensors` `model-00068-of-00092.safetensors` `model-00069-of-00092.safetensors` `model-00070-of-00092.safetensors` `model-00071-of-00092.safetensors` `model-00072-of-00092.safetensors` `model-00073-of-00092.safetensors` `model-00074-of-00092.safetensors` `model-00075-of-00092.safetensors` `model-00076-of-00092.safetensors` `model-00077-of-00092.safetensors` `model-00078-of-00092.safetensors` `model-00079-of-00092.safetensors` `model-00080-of-00092.safetensors` `model-00081-of-00092.safetensors` `model-00082-of-00092.safetensors` `model-00083-of-00092.safetensors` `model-00084-of-00092.safetensors` `model-00085-of-00092.safetensors` `model-00086-of-00092.safetensors` `model-00087-of-00092.safetensors` `model-00088-of-00092.safetensors` `model-00089-of-00092.safetensors` `model-00090-of-00092.safetensors` `model-00091-of-00092.safetensors` `model-00092-of-00092.safetensors` `mtp.safetensors`	352,797,829,024 (328.57 GiB / 352.80 GB)	`vllm, sglang, unspecified`	`file-metadata`
GGUF Q4_K_M (Unsloth) gguf-q4_k_m Calculator: GGUF Q4_K_M (Unsloth)	5 safetensors shards Total selected bytes: 215,582,633,056 (200.78 GiB / 215.58 GB) First shard: Q4_K_M/GLM-4.6-Q4_K_M-00001-of-00005.gguf Last shard: Q4_K_M/GLM-4.6-Q4_K_M-00005-of-00005.gguf View all 5 shard files `Q4_K_M/GLM-4.6-Q4_K_M-00001-of-00005.gguf` `Q4_K_M/GLM-4.6-Q4_K_M-00002-of-00005.gguf` `Q4_K_M/GLM-4.6-Q4_K_M-00003-of-00005.gguf` `Q4_K_M/GLM-4.6-Q4_K_M-00004-of-00005.gguf` `Q4_K_M/GLM-4.6-Q4_K_M-00005-of-00005.gguf`	215,582,633,056 (200.78 GiB / 215.58 GB)	`llama.cpp, ollama, unspecified`	`file-metadata`
GGUF Q5_K_M (Unsloth) gguf-q5_k_m Calculator: GGUF Q5_K_M (Unsloth)	6 safetensors shards Total selected bytes: 253,179,899,136 (235.79 GiB / 253.18 GB) First shard: Q5_K_M/GLM-4.6-Q5_K_M-00001-of-00006.gguf Last shard: Q5_K_M/GLM-4.6-Q5_K_M-00006-of-00006.gguf View all 6 shard files `Q5_K_M/GLM-4.6-Q5_K_M-00001-of-00006.gguf` `Q5_K_M/GLM-4.6-Q5_K_M-00002-of-00006.gguf` `Q5_K_M/GLM-4.6-Q5_K_M-00003-of-00006.gguf` `Q5_K_M/GLM-4.6-Q5_K_M-00004-of-00006.gguf` `Q5_K_M/GLM-4.6-Q5_K_M-00005-of-00006.gguf` `Q5_K_M/GLM-4.6-Q5_K_M-00006-of-00006.gguf`	253,179,899,136 (235.79 GiB / 253.18 GB)	`llama.cpp, ollama, unspecified`	`file-metadata`
GGUF Q6_K (Unsloth) gguf-q6_k Calculator: GGUF Q6_K (Unsloth)	6 safetensors shards Total selected bytes: 293,098,654,944 (272.97 GiB / 293.10 GB) First shard: Q6_K/GLM-4.6-Q6_K-00001-of-00006.gguf Last shard: Q6_K/GLM-4.6-Q6_K-00006-of-00006.gguf View all 6 shard files `Q6_K/GLM-4.6-Q6_K-00001-of-00006.gguf` `Q6_K/GLM-4.6-Q6_K-00002-of-00006.gguf` `Q6_K/GLM-4.6-Q6_K-00003-of-00006.gguf` `Q6_K/GLM-4.6-Q6_K-00004-of-00006.gguf` `Q6_K/GLM-4.6-Q6_K-00005-of-00006.gguf` `Q6_K/GLM-4.6-Q6_K-00006-of-00006.gguf`	293,098,654,944 (272.97 GiB / 293.10 GB)	`llama.cpp, ollama, unspecified`	`file-metadata`
GGUF Q8_0 (Unsloth) gguf-q8_0 Calculator: GGUF Q8_0 (Unsloth)	8 safetensors shards Total selected bytes: 379,317,898,752 (353.27 GiB / 379.32 GB) First shard: Q8_0/GLM-4.6-Q8_0-00001-of-00008.gguf Last shard: Q8_0/GLM-4.6-Q8_0-00008-of-00008.gguf View all 8 shard files `Q8_0/GLM-4.6-Q8_0-00001-of-00008.gguf` `Q8_0/GLM-4.6-Q8_0-00002-of-00008.gguf` `Q8_0/GLM-4.6-Q8_0-00003-of-00008.gguf` `Q8_0/GLM-4.6-Q8_0-00004-of-00008.gguf` `Q8_0/GLM-4.6-Q8_0-00005-of-00008.gguf` `Q8_0/GLM-4.6-Q8_0-00006-of-00008.gguf` `Q8_0/GLM-4.6-Q8_0-00007-of-00008.gguf` `Q8_0/GLM-4.6-Q8_0-00008-of-00008.gguf`	379,317,898,752 (353.27 GiB / 379.32 GB)	`llama.cpp, ollama, unspecified`	`file-metadata`
INT4 theoretical	No published file	178,392,949,408 (theoretical)	—	theoretical

Memory by quantization and context

Concurrent sequences = 1. KV defaults to FP16. The range includes documented runtime extras for the listed engine. These figures use the same core as the interactive calculator.

Quantization	2,048 tokens	8,192 tokens	32,768 tokens
BF16 safetensors	329.91 GiB–331.81 GiB	332.07 GiB–334.03 GiB	340.69 GiB–342.91 GiB
GGUF Q4_K_M (Unsloth)	201.62 GiB–206.03 GiB	203.78 GiB–208.37 GiB	212.40 GiB–217.60 GiB
GGUF Q5_K_M (Unsloth)	236.64 GiB–241.74 GiB	238.79 GiB–244.08 GiB	247.42 GiB–253.31 GiB
GGUF Q6_K (Unsloth)	273.81 GiB–279.66 GiB	275.97 GiB–282.01 GiB	284.59 GiB–291.23 GiB
GGUF Q8_0 (Unsloth)	354.11 GiB–361.57 GiB	356.27 GiB–363.91 GiB	364.89 GiB–373.14 GiB
INT4 theoretical Theoretical rows are not downloadable artifacts.	166.99 GiB–215.41 GiB	169.14 GiB–218.10 GiB	177.77 GiB–228.72 GiB

Raw KV contribution

Standard GQA/MHA raw KV is 2 × layers × kvHeads × headDim × tokens × sequences × bytes per element. This page uses KV heads (8), not query heads (96). Using query heads would overstate this cache by 12×.

8,192 tokens, 1 sequence, FP16: 3,087,007,744 bytes (2.8750 GiB)
32,768 tokens: 12,348,030,976 bytes (11.5000 GiB)

Open the calculator with this model

Sources

GLM-4.6 model card
config.json — revision be72194883d968d7923a07e2f61681ea9a2826d1
safetensors index — metadata.total_size=352797829024
Artifact repo unsloth/GLM-4.6-GGUF

Assumptions that affect this result

Requested context is within the recorded native window of 202752 tokens.
Full-resident weight estimates use total parameters, including inactive MoE experts.
Activated parameter count is unknown / not independently sourced. Active parameters describe routed compute, not the full resident model weight footprint.
Weight bytes come from the selected weight files only, not from every file in the repository.
Download file size is not peak GPU memory. Runtime layout, allocator padding, and KV are extra.
Counted files: Q4_K_M/GLM-4.6-Q4_K_M-00001-of-00005.gguf, Q4_K_M/GLM-4.6-Q4_K_M-00002-of-00005.gguf, Q4_K_M/GLM-4.6-Q4_K_M-00003-of-00005.gguf, Q4_K_M/GLM-4.6-Q4_K_M-00004-of-00005.gguf, Q4_K_M/GLM-4.6-Q4_K_M-00005-of-00005.gguf.
Multi-token prediction / draft weights exist and are not included unless enabled.
Context budget is the number of cached tokens per sequence (prompt plus reserved generation).

Calculator

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Quantization

Device type

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Workload

Context length primarily affects KV cache memory.

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Runtime

Engine and KV cache type for this estimate.

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Workload

Overhead scenario and the prefill workspace.

Overhead scenario Include heavier prefill workspace

Topology

How the model is split across devices. Memory is not added together.

DeploymentIntra-replica splitDevice count

Replica count is an advanced deployment option. Quantity is nodes or GPUs, not replicas.

Replica groupsDevices per replica

Budget

System reserve and safety margin. An empty number keeps the previous value.

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GiB (2^30 bytes)

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Total parametersActive parametersLayersQuery headsKV headsHead dimension

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