Granite Switch 4.1 8B

Language IBM Partly verified Released Oct 14, 2026
  • Open weights

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Details

Licence
apache-2.0
Family
granite-switch

Not stated on IBM’s pages: max input, input modalities, output modalities, reasoning, reasoning efforts, reasoning can be off, max thinking budget, tool use, structured output, built-in tools, knowledge cutoff, aliases.

  • Parameters 8.8B
  • Dense
  • Native precision BF16
  • Layers 42
  • KV cache per token 168 KB
  • Config positions 128K (config.json max_position_embeddings)
My hardware GeForce RTX 4090 24 GB · 1008 GB/s · 64 GB DDR5 dual channel · 89.6 GB/s
On your hardware · GeForce RTX 4090
Runs well BF16 (native) (automatic) 8K context 27–40 tok/sOne GPU
WeightsKV cacheOverheadUsable
Needs
≈ 18.5 GB (weights 16.3 (maker’s file) + KV cache 1.3 + overhead 0.8)
Usable
21.6 GB (90% of its memory)
Generation speed
27–40 tok/s
Longest context
27K (longer doesn’t fit)
First token
about 0.28–0.43 s for a 2K prompt
PrecisionWeightsNeeds at 8KOn your hardwareLongest context
BF16 (native)maker’s file16.3 GB≈ 18.5Runs well 27–40 tok/s27K
Q8_0maker’s file9.4 GB≈ 11.2Runs well 44–66 tok/s71K
FP88.2 GB≈ 10.0Runs well 49–74 tok/s78K
Q6_Kmaker’s file7.5 GB≈ 9.3Runs well 53–80 tok/s82K
Q5_K_Mmaker’s file6.7 GB≈ 8.5Runs well 58–88 tok/s87K
Q5_0maker’s file6.5 GB≈ 8.3Runs well 60–90 tok/s89K
Q4_K_Mmaker’s file6.0 GB≈ 7.8Runs well 64–97 tok/s92K
Q4_0maker’s file5.6 GB≈ 7.4Runs well 68–102 tok/s94K
IQ4_XS4.3 GB≈ 6.2Runs well 83–125 tok/s102K
Q3_K_Mmaker’s filequality drops5.1 GB≈ 6.9Runs well 73–110 tok/s97K
IQ3_XXSquality drops3.1 GB≈ 4.9Runs well 106–159 tok/s109K
Q2_Kmaker’s filequality drops4.3 GB≈ 6.2Runs well 83–125 tok/s102K
IQ2_XXSquality drops2.1 GB≈ 3.9Runs well 137–206 tok/s116K

Click a row to choose a precision. “Maker’s file” sizes are the maker’s own files; others are parameters × bits per weight.

Compared with other hardware

Each at the highest precision it runs. Click one for details.

Smallest that runs it (Q4_K_M, 8K): GPU GeForce RTX 3080; unified memory Apple M5 · 16 GB.

Run commands

vLLM
vllm serve ibm-granite/granite-switch-4.1-8b --max-model-len 8192
Memory to fine-tune
Full≈ 133.0 GBDoesn’t fit your hardware
LoRA≈ 18.8 GBFits your hardware
QLoRA≈ 7.1 GBFits your hardware

Batch 1, 2,048-token sequences, gradient checkpointing; LoRA and QLoRA train rank-16 adapters on the attention projections.

Estimates; facts from the maker’s Hugging Face repositories, as of 2026-11-06. How it’s estimated

Cited scores

From third-party leaderboards, not measured by us

This model isn’t on any leaderboard we cite yet.

  1. New language model

Sources

Some values on this page are still waiting to be checked against official pages: a filled dot is verified, a hollow one is not yet (with or without a source on file). How we verify data

IBM · United States · ibm.com

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