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// Ai2 OLMo / Molmo · Text LLM

Llama-3.1-Tulu-3-8B: VRAM & local deployment

8.03B parameters. About 6.9 GB at 4-bit and 19.2 GB at BF16 with one 8K-token request.

released 2024-11-20licence: 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)
Parameters8.03B Source: counted from official safetensors weights
Context length128K tokens (131,072)max_position_embeddings in config.json
Architecture32 layers · GQA
Released weightsBF16 · 16.1 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.
Released2024-11-20 (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)16.1 GB 19.2 GB22.5 GB35.3 GB RTX 4090 24GBMac 36GB
FP8 / INT8 / Q8_08.5 GB 11.0 GB14.2 GB27.1 GB 16GB GPUMac 24GB
4-bit (Q4_K_M / AWQ / GPTQ-Int4)4.9 GB 6.9 GB10.1 GB23.0 GB 8GB GPUMac 16GB

KV cache per request: 8K 1.1 GB · 32K 4.3 GB · 128K 17.2 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-3-405B · same series405.9B275 GB2025-01-09
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 2025-02-13. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

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