Skip to content
English

Switch theme

// Ai2 OLMo / Molmo · Text LLM

Llama-3.1-Tulu-3-405B: VRAM & local deployment

405.9B parameters. About 275 GB at 4-bit and 898 GB at BF16 with one 8K-token request.

released 2025-01-09licence: Commercial with conditionsmemory figures are estimates

01Specs

PublisherAllen Institute for AI · allenai
Family / seriesAi2 OLMo / Molmo · Llama-3.1-Tulu-3
TypeText LLM (text-generation)
Parameters405.9B Source: counted from official safetensors weights
Context length128K tokens (131,072)max_position_embeddings in config.json
Architecture126 layers · GQA
Released weightsBF16 · 812 GBdownload
LicenceLlama 3.1 Community · Commercial with conditionsCommercial use allowed under the publisher’s own licence terms (user caps, acceptable-use policy, attribution or region limits). Read it before shipping.
Released2025-01-09 (Hugging Face repo created)

02How much VRAM it needs (estimate)

Total = weights + 10% + 0.5GB overhead + KV cache for one request (FP16 KV). More concurrent users multiply the KV column.

PrecisionWeightsTotal @ 8KTotal @ 32KTotal @ 128KSmallest GPUMac
BF16 / FP16 (original)812 GB 898 GB910 GB961 GB 8 × H200 (1,128GB)—
FP8 / INT8 / Q8_0431 GB 479 GB492 GB542 GB 8 × H100 (640GB)—
4-bit (Q4_K_M / AWQ / GPTQ-Int4)246 GB 275 GB288 GB339 GB 4 × RTX PRO 6000 (384GB)Mac 512GB

KV cache per request: 8K 4.2 GB · 32K 16.9 GB · 128K 67.7 GB

Bits per weight: BF16 16, FP8 8.5, 4-bit 4.85. “Fits” = total ≤ 90% of memory; Mac GPU can use ~2/3 of unified memory (≤36GB) or ~3/4 (larger). For MoE, all experts must be in memory, so size by total parameters. Method →

03How to run it

Only runtimes the publisher or the runtime’s official library names for this model.

Which inference engine to choose →

04Official repositories & quantised builds

1 official repo(s) from allenai.

05Other Ai2 OLMo / Molmo models

All 31 →
ModelParams4-bit totalReleased
Llama-3.1-Tulu-3-8B · same series8.03B6.9 GB2024-11-20
Molmo2-ER4.85B4.9 GB2026-05-04
MolmoWeb-4B4.85B4.9 GB2026-03-20
MolmoPoint-8B8.68B7.5 GB2026-03-16
Olmo-Hybrid-7B7.43B6.5 GB2026-01-28
Molmo2-4B4.85B4.9 GB2025-12-14
Molmo2-8B8.66B7.5 GB2025-12-14
Molmo2-O-7B7.76B10.0 GB2025-12-14
Olmo-3.1-32B-Instruct32.2B23.3 GB2025-12-10

06Sources

Data checked 2025-02-10. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

Data updated: Self-host open models(UTC+8)