# SciFive-base-Pubmed_PMC by Razent: Open-Weight Model Source: https://savrn.com/models/scifive-base-pubmed-pmc Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- ## Runs On What it takes to serve SciFive-base-Pubmed_PMC (223M parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them. | Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits | | --- | --- | --- | --- | --- | --- | | 16-bit | 0.4 GB | 0.5 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | | 8-bit | 0.2 GB | 0.3 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | | 4-bit | 0.1 GB | 0.1 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the [SAVRN Index](https://savrn.com/ai-index/pricing/gpus), read Oct 23, 2026. [SciFive-base-Pubmed_PMC on every accelerator the SAVRN Index prices, at every precision](https://savrn.com/models/scifive-base-pubmed-pmc/gpus) ## Model Card Paper: SciFive: a text-to-text transformer model for biomedical literature Authors: Long N. Phan, James T. Anibal, Hieu Tran, Shaurya Chanana, Erol Bahadroglu, Alec Peltekian, Grégoire Altan-Bonnet For more details, do check out our Github repo. Excerpt from the card by Razent. ## Configuration Architecture T5ForConditionalGeneration Vocabulary size 32,128 Model type t5 ## Identity and Version Repository razent/SciFive-base-Pubmed_PMC Publisher Razent Task Text classification Modality Text Library transformers Parameters 223M parameters Languages en Revision fceb43a5ee11569bfe906b65098d78048b3403d8 First published 2022-03-02 Last updated 2023-08-30 ## Files and Weights 9 files, 3.6 GB in total. The weights are 4 files totalling 3.6 GB in bin, h5, msgpack, safetensors. Weights4 files · 3.6 GB Configuration1 file · 581 B Tokenizer2 files · 2.2 MB Documentation1 file · 1.4 KB Repository1 file · 836 B Every file | File | Type | Size | SHA-256 | | --- | --- | --- | --- | | flax_model.msgpack | Weights | 891.6 MB | f9057f257b3e | | model.safetensors | Weights | 891.6 MB | 019df4a542d8 | | pytorch_model.bin | Weights | 891.7 MB | 8a4d00b21806 | | tf_model.h5 | Weights | 892.1 MB | df11afa7cf51 | | config.json | Configuration | 581 B | — | | README.md | Documentation | 1.4 KB | — | | .gitattributes | Repository | 836 B | — | | spiece.model | Tokenizer | 791.7 KB | d60acb128cf7 | | tokenizer.json | Tokenizer | 1.4 MB | — | ## License and Download License Not stated by the source Access Open weights, no gate Download size 3.6 GB [Download from Razent](https://huggingface.co/razent/SciFive-base-Pubmed_PMC) Released by Razent through its official repository on Hugging Face. ## Built From - Described by arXiv:2106.03598 - Trained on (disclosed) pmc/open_access - Trained on (disclosed) pubmed ## Memory Requirements | Precision | Weights in memory | | --- | --- | | As published | 3.6 GB | | 16-bit | 0.4 GB | | 8-bit | 0.2 GB | | 4-bit | 0.1 GB | Weights only, from the published parameter count; the key-value cache and runtime add to this. ## Questions About SciFive-base-Pubmed_PMC ### How much GPU memory does SciFive-base-Pubmed_PMC need? About 0.5 GB at 16-bit and 0.1 GB at 4-bit: the weights (223M parameters) plus a working margin. A long context needs more. ### What is the cheapest GPU to run SciFive-base-Pubmed_PMC on? At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists. ## Similar Models Model · Text classification ### [muril-cyberbullying-detection](https://savrn.com/models/muril-cyberbullying-detection) [Suyash Sahu](https://savrn.com/model-publishers/suyashsahu00) This model is a fine-tuned version of Google's MuRIL (Multilingual Representations for Indian Languages) BERT architecture, specifically adapted for multi-class Cyberbullying & Hate Speech Detection. 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