Model reference · open weights
SmolLM3-QAT-Baseline-Q is an open-weight language model from Hugging Face. SmolLM3-3B-QAT-Baseline-Q (BF16) weighs 3.7 GB; the smallest configuration that runs it is RTX 3060 12 GB.
For self-hosting, compare this build's requirements below with the GPU you plan to rent.
What it is
| Released by | Hugging Face |
|---|---|
| Released | 2025-09-02 |
| VRAM | 3.7 GB for the weights |
What it runs on
| Card | Requests at once | Context max | Memory | |
|---|---|---|---|---|
| 8K each | 32K each | |||
| RTX 3060 12 GB | 11 | 2 | all 64K | 11.6 GB |
| RTX 4060 Ti 16 GB | 18 | 4 | all 64K | 15.4 GB |
| RTX 3090 24 GB | 31 | 7 | all 64K | 23.4 GB |
| RTX 4090 24 GB | 31 | 7 | all 64K | 23.4 GB |
| RTX 5090 32 GB | 44 | 11 | all 64K | 31.0 GB |
| L40S 48 GB | 65 | 16 | all 64K | 44.0 GB |
| A100 80 GB | 122 | 30 | all 64K | 78.2 GB |
| H100 80 GB | 115 | 28 | all 64K | 78.1 GB |
| RTX PRO 6000 Blackwell 96 GB | 141 | 35 | all 64K | 93.8 GB |
| DGX Spark (GB10) 128 GB unified | 163 | 40 | all 64K | 107 GB |
| H200 141 GB | 214 | 53 | all 64K | 138 GB |
| B200 180 GB | 277 | 69 | all 64K | 176 GB |
| Requests at once | 8K tokens each | 32K tokens each |
|---|---|---|
| 1 | 5.0 GB | 6.8 GB |
| 5 | 7.4 GB | 16.5 GB |
| 8 | 9.2 GB | 23.7 GB |
| 16 | 14.0 GB | 43.0 GB |
| 32 | 23.7 GB | 81.7 GB |
| 64 | 43.0 GB | 159 GB |
One card, with vLLM's small-card settings.
From the model card
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
Use the code below to get started with the model.
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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BibTeX:
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APA:
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Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.