Qwen3-Next-80B-A3B-Instruct Q4_K_M needs 47.29 GiB
Needs 47.29 GiB: Qwen3-Next-80B-A3B-Instruct Q4_K_M at 8,192 tokens is an estimate of 45.96 GiB–47.29 GiB. Checkpoint Qwen/Qwen3-Next-80B-A3B-Instruct. File is 48,410,988,384 bytes. No device is selected, so this is demand only, not a fit.
Specific checkpoints with sourced architecture and weight files. GGUF Q4_K_M (Qwen): 45.96 GiB–47.29 GiB at 8,192 tokens, 1 sequence, FP16 KV, llama.cpp.
Runs on
Publisher and provenance
- PublisherQwen
- Hugging Face
Qwen/Qwen3-Next-80B-A3B-Instruct - Revision
9c7f2fbe84465e40164a94cc16cd30b6999b0cc7 - Total parameters81,324,862,720
- Active parameters3,000,000,000
- Layers48
- Query heads16
- KV heads2 (gqa)
- Head dimension256
- Recorded context capability262,144
- 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
- 45.09 GiB (48,410,988,384 bytes)
- Raw KV cache
- 0.75 GiB (805,306,368 bytes)
- Engine extras / workspace
- 0.13 GiB–1.45 GiB
- Total estimated demand
- 45.96 GiB–47.29 GiB
Published artifacts
| Quantization | Selected files | Bytes | Engine | Evidence |
|---|---|---|---|---|
| BF16 safetensors bf16 | 162,649,725,440 (151.48 GiB / 162.65 GB) | vllm, sglang, unspecified | file-metadata | |
| GGUF Q4_K_M (Qwen) gguf-q4_k_m | Qwen3-Next-80B-A3B-Instruct-Q4_K_M.gguf | 48,410,988,384 (45.09 GiB / 48.41 GB) | llama.cpp, ollama, unspecified | file-metadata |
| GGUF Q5_K_M (Qwen) gguf-q5_k_m | Qwen3-Next-80B-A3B-Instruct-Q5_K_M.gguf | 56,710,369,120 (52.82 GiB / 56.71 GB) | llama.cpp, ollama, unspecified | file-metadata |
| GGUF Q6_K (Qwen) gguf-q6_k | Qwen3-Next-80B-A3B-Instruct-Q6_K.gguf | 65,528,461,152 (61.03 GiB / 65.53 GB) | llama.cpp, ollama, unspecified | file-metadata |
| GGUF Q8_0 (Qwen) gguf-q8_0 | Qwen3-Next-80B-A3B-Instruct-Q8_0.gguf | 84,812,052,320 (78.99 GiB / 84.81 GB) | llama.cpp, ollama, unspecified | file-metadata |
| INT4 theoretical | No published file | 40,662,431,360 (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 | 152.29 GiB–154.17 GiB | 152.85 GiB–154.75 GiB | 155.10 GiB–157.07 GiB |
| GGUF Q4_K_M (Qwen) | 45.40 GiB–46.68 GiB | 45.96 GiB–47.29 GiB | 48.21 GiB–49.70 GiB |
| GGUF Q5_K_M (Qwen) | 53.13 GiB–54.56 GiB | 53.69 GiB–55.17 GiB | 55.94 GiB–57.58 GiB |
| GGUF Q6_K (Qwen) | 61.34 GiB–62.94 GiB | 61.90 GiB–63.55 GiB | 64.15 GiB–65.96 GiB |
| GGUF Q8_0 (Qwen) | 79.30 GiB–81.26 GiB | 79.86 GiB–81.87 GiB | 82.11 GiB–84.28 GiB |
| INT4 theoretical Theoretical rows are not downloadable artifacts. | 38.18 GiB–49.57 GiB | 38.74 GiB–50.27 GiB | 40.99 GiB–53.04 GiB |
Raw KV contribution
Standard GQA/MHA raw KV is 2 × layers × kvHeads × headDim × tokens × sequences × bytes per element. This page uses KV heads (2), not query heads (16). Using query heads would overstate this cache by 8×.
- 8,192 tokens, 1 sequence, FP16: 805,306,368 bytes (0.7500 GiB)
- 32,768 tokens: 3,221,225,472 bytes (3.00 GiB)
Related pages
Sources
- Qwen3-Next-80B-A3B-Instruct model card
- config.json — revision 9c7f2fbe84465e40164a94cc16cd30b6999b0cc7
- safetensors index — metadata.total_size=162649725440
- Artifact repo Qwen/Qwen3-Next-80B-A3B-Instruct-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.
- This MoE lists 81324862720 total parameters and 3000000000 active parameters. Active-parameter compute is not used as the weight-residency figure.
- 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-Next-80B-A3B-Instruct-Q4_K_M.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).
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