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// InternLM / Intern-S · Text LLM

internlm2_5-1_8b-chat: VRAM & local deployment

1.89B parameters. About 2.6 GB at 4-bit and 5.5 GB at BF16 with one 8K-token request.

released 2024-07-30licence: Custom licence – read itmemory figures are estimates

01Specs

PublisherShanghai AI Lab · internlm
Family / seriesInternLM / Intern-S · internlm2_5-1
TypeText LLM (text-generation)
Parameters1.89B Source: counted from official safetensors weights
Context length32K tokens (32,768)max_position_embeddings in config.json
Architecture24 layers · GQA
Released weightsBF16 · 3.8 GBdownload
Licenceother · Custom licence – read itThe publisher uses its own licence; we have not classified it. Read the licence text.
Released2024-07-30 (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 @ 32KSmallest GPUMac
BF16 / FP16 (original)3.8 GB 5.5 GB7.9 GB 8GB GPUMac 16GB
FP8 / INT8 / Q8_02.0 GB 3.5 GB5.9 GB 8GB GPUMac 16GB
4-bit (Q4_K_M / AWQ / GPTQ-Int4)1.1 GB 2.6 GB5.0 GB 8GB GPUMac 16GB

KV cache per request: 8K 0.8 GB · 32K 3.2 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

2 official repo(s) from internlm.

05Other InternLM / Intern-S models

All 12 →
ModelParams4-bit totalReleased
Intern-S2-397B403.4B270 GB2026-09-13
Atria-Dawn-Preview753.3B504 GB2026-09-11
Intern-S2-Mobius36B24.7 GB2026-07-29
Intern-S2-Preview36.1B24.7 GB2026-05-15
Intern-S1-Pro1T / 22B669 GB2026-02-02
Intern-S1-mini8.54B7.4 GB2025-08-18
Intern-S1240.7B163 GB2025-07-24
internlm3-8b-instruct8.8B6.8 GB2025-01-13

06Sources

Data checked 2025-03-13. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

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