NT 2.5B, 4-bit weights for embedding inference (Saadat and Fellay 2026)
NT 2.5B embedding inference with 4-bit bitsandbytes weight quantization, using what the authors call a conservative strategy for NT models.
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| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: NT 2.5B, 4-bit weights for embedding inference (Saadat and Fellay 2026) | Protocol: Peak memory under 8-bit and 4-bit quantization relative to BF16 (Saadat and Fellay 2026 Figure 5) Dataset: Synthetic uniform random DNA sequences, seed 42 (Saadat and Fellay 2026) | 5.6 Peak memory (Embedding inference with 4-bit weights; the paper calls it parameter memory in Section 2.4 and peak memory in Figure 5) gigabyte · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceNT 2.5B 4-bit inference memory saadat-fellay-20261015-protocol-quantization-peak-memory Aggregation: Not reported Optimizing genomic language models for efficient training, fine-tuning, and inference (Saadat and Fellay, ICLR 2026 workshop) · Section 3.5 'Memory' paragraph (page 7): 'For NT 2.5B, memory decreases from 6.7 GB (BF16) to 5.6 GB (4-bit).' |
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Sources and history
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
1 source record and release history
- Optimizing genomic language models for efficient training, fine-tuning, and inference (Saadat and Fellay, ICLR 2026 workshop) · Original source · OpenReview PDF headed 'Published as a workshop paper at ICLR 2026' (11 pages; PDF CreationDate 2026-03-09)
Technical metadata and extraction receipts
Stable ID: saadat-fellay-20261015-config-nt-2-5b-4bit-inference
- areas
- dna-genomes
- contexts
- research
- method types
- foundation_model
- reported name
- NT 2.5B
- model family
- Nucleotide Transformer
- hardware
- description: NVIDIA H100 (section 2.4); 'H100 94GB GPUs' (section 4)
- source locator
- Section 2.2 'Models'; Section 2.3; Section 2.4
- provenance note
- Implementation and measurements by Saadat and Fellay (EPFL), who did not develop the model. Checkpoint identity is not stated, so the configuration stays at family level.
- missing metadata
- checkpoint: reason: unreported; note: The paper names the family and parameter count only. No Hugging Face repository, revision or pretraining dataset is given (several GENA-LM and Nucleotide Transformer checkpoints share these sizes).; version: reason: unreported; note: No code release or software versions are given in the PDF
- configuration
- weights: 4-bit; library: bitsandbytes
- review
- reviewer: claude; reviewer note: Claude review agent; no human review claimed. Independent Claude (Opus 5.5) review agent, separate from the extraction agent that built this batch. Automated review only. Transcription, not reproduction.; reviewed at: 2026-10-15T22:00:00Z; artifact sha256: 4bc2452110f280a7ba8baa4c7c28beac89769511019666bc77fc33af9b3bcd60; retrieval url: https://openreview.net/pdf?id=NUleWh1GFx; method: source-hash-verification; pdf-text-parse; ai-assisted-source-review; scope-review; method note: Descriptive fields, identity links and missing-metadata reasons checked against the PDF.; note: Checked; see the dated review.
Related records
- configuration of: Nucleotide Transformer
- system: NT 2.5B 4-bit inference memory