Qwen3-4B-Instruct-2507 VRAM & Memory Requirements

The Qwen/Qwen3-4B-Instruct-2507 checkpoint ships BF16 safetensors of 8,045,591,552 bytes (7.49 GiB / 8.05 GB) in this catalog. That download size is not peak GPU memory, and the figures below are estimates.

Specific checkpoints with sourced architecture and weight files. GGUF Q4_K_M (Unsloth): 3.58 GiB–4.08 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

PublisherQwen
Hugging FaceQwen/Qwen3-4B-Instruct-2507
Revisioncdbee75f17c01a7cc42f958dc650907174af0554
Total parameters4,022,468,096
Layers36
Query heads32
KV heads8 (gqa)
Head dimension128
Recorded context capability262,144
Completenesscomplete · full

Memory layers in this estimate

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

Weight artifact: 2.33 GiB (2,497,281,120 bytes)
Raw KV cache: 1.13 GiB (1,207,959,552 bytes)
Engine extras / workspace: 0.13 GiB–0.63 GiB
Total estimated demand: 3.58 GiB–4.08 GiB

Published artifacts

Quantization	Selected files	Bytes	Engine	Evidence
BF16 safetensors bf16 Calculator: BF16 safetensors	model-00001-of-00003.safetensors, model-00002-of-00003.safetensors, model-00003-of-00003.safetensors	8,045,591,552 (7.49 GiB / 8.05 GB)	`vllm, sglang, unspecified`	`file-metadata`
GGUF Q4_K_M (Unsloth) gguf-q4_k_m Calculator: GGUF Q4_K_M (Unsloth)	Qwen3-4B-Instruct-2507-Q4_K_M.gguf	2,497,281,120 (2.33 GiB / 2.50 GB)	`llama.cpp, ollama, unspecified`	`file-metadata`
GGUF Q5_K_M (Unsloth) gguf-q5_k_m Calculator: GGUF Q5_K_M (Unsloth)	Qwen3-4B-Instruct-2507-Q5_K_M.gguf	2,889,514,080 (2.69 GiB / 2.89 GB)	`llama.cpp, ollama, unspecified`	`file-metadata`
GGUF Q6_K (Unsloth) gguf-q6_k Calculator: GGUF Q6_K (Unsloth)	Qwen3-4B-Instruct-2507-Q6_K.gguf	3,306,261,600 (3.08 GiB / 3.31 GB)	`llama.cpp, ollama, unspecified`	`file-metadata`
GGUF Q8_0 (Unsloth) gguf-q8_0 Calculator: GGUF Q8_0 (Unsloth)	Qwen3-4B-Instruct-2507-Q8_0.gguf	4,280,405,600 (3.99 GiB / 4.28 GB)	`llama.cpp, ollama, unspecified`	`file-metadata`
INT4 theoretical	No published file	2,011,234,048 (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	8.40 GiB–10.28 GiB	9.24 GiB–11.15 GiB	12.62 GiB–14.63 GiB
GGUF Q4_K_M (Unsloth)	2.73 GiB–3.16 GiB	3.58 GiB–4.08 GiB	6.95 GiB–7.69 GiB
GGUF Q5_K_M (Unsloth)	3.10 GiB–3.53 GiB	3.94 GiB–4.45 GiB	7.32 GiB–8.06 GiB
GGUF Q6_K (Unsloth)	3.49 GiB–3.93 GiB	4.33 GiB–4.84 GiB	7.70 GiB–8.46 GiB
GGUF Q8_0 (Unsloth)	4.39 GiB–4.85 GiB	5.24 GiB–5.77 GiB	8.61 GiB–9.38 GiB
INT4 theoretical Theoretical rows are not downloadable artifacts.	2.28 GiB–3.32 GiB	3.12 GiB–4.37 GiB	6.50 GiB–8.52 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 (32). Using query heads would overstate this cache by 4×.

8,192 tokens, 1 sequence, FP16: 1,207,959,552 bytes (1.1250 GiB)
32,768 tokens: 4,831,838,208 bytes (4.5000 GiB)

Open the calculator with this model

Sources

Qwen3-4B-Instruct-2507 model card
config.json — revision cdbee75f17c01a7cc42f958dc650907174af0554
safetensors index — metadata.total_size=8045591552
Artifact repo unsloth/Qwen3-4B-Instruct-2507-GGUF

Assumptions that affect this result

Requested context is within the recorded native window of 262144 tokens.
Full-resident weight estimates use total parameters, including inactive MoE experts.
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: Qwen3-4B-Instruct-2507-Q4_K_M.gguf.
Context budget is the number of cached tokens per sequence (prompt plus reserved generation).
Concurrent sequences share one model replica; weights are not multiplied by sequence count.
KV dtype is independent of weight quantization unless you change it.

Calculator

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Quantization

Device type

Hardware

Workload

Context length primarily affects KV cache memory.

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Runtime

Engine and KV cache type for this estimate.

EngineKV cache typeRecurrent / conv state dtype Include theoretical estimates (expert) Allow a substitute if the filter has no match

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.

System / display reserve

GiB (2^30 bytes)

Budget already excludes system reserveExtra safety margin

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Public Hugging Face repoRevision

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Total parametersActive parametersLayersQuery headsKV headsHead dimension

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