DeepPresenter-9B safetensors download | Hugging Bay

Q: What is this model?

Forceless/DeepPresenter-9B is an open-weights language model for general published by Forceless, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for llm: Forceless/DeepPresenter-9B · unknown

Q: Can I use it commercially?

It is released under the mit license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Forceless/DeepPresenter-9B has 9B parameters. Hosted here: at least 11 listed files; full count and size unknown. Full repo upstream: 18.8 GB.

Q: What can I download here?

Hosted here: at least 11 listed files; full count and size unknown. Full repo upstream: 18.8 GB. The original release is at https://huggingface.co/Forceless/DeepPresenter-9B.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 11 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-forceless-deeppresenter-9b/safety on Hugging Bay.

Q: Will Forceless/DeepPresenter-9B run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

Forceless

DeepPresenter-9B

Forceless/DeepPresenter-9B

Model details

generalLicense: mitSHA-256 recorded for 11 of 13 filessafetensors

Content controls: not assessed.

Not enough information to say what this model is for or who should use it. Catalog sources: license, cardMetadata.license.

View as JSON →

11 hosted of 13 listed

Hashes recorded. Date not recorded.

File	Taille	SHA-256	Source	Télécharger
Weights
`model-00001-of-00004.safetensors`	4.91 GB	`0c1f5224…2747fe3f` `0c1f52241ef9bf3427d37a67757e7c7d2cda63e24379f06f1c681b6a2747fe3f`	Hosted	Télécharger
`model-00002-of-00004.safetensors`	4.95 GB	`40e13f57…06a82f62` `40e13f57fbc916e84ec560d2082da33e1adad052a0a314b2dbcd2c8106a82f62`	Hosted	Télécharger
`model-00003-of-00004.safetensors`	4.99 GB	`1ff1565c…7f6adf90` `1ff1565c0a36ade3813df63674ec858a81c7bcbb86d75574bbfd15b47f6adf90`	Hosted	Télécharger
`model-00004-of-00004.safetensors`	3.97 GB	`a567145c…4d22f4e8` `a567145ca612523afe26c9f90e5bfc24486ca32fe0335ceda8d678834d22f4e8`	Hosted	Télécharger
Tokenizer & config
`chat_template.jinja`	7.61 KB	`09c6838d…a54fb1a3` `09c6838d05351b57a6dbccd1c885ea9c68ab55037a709bad27c3aa0ea54fb1a3`	Hosted	Télécharger
`config.json`	2.85 KB	`63bc369b…dc37bbf9` `63bc369bc63e73592bd127f6a94e674af662afb5dbf4d6144465cc7adc37bbf9`	Hosted	Télécharger
`model.safetensors.index.json`	69.2 KB	`66bb8d97…ab79d3cb` `66bb8d977e150f570ab9cfda7559729bfd4fc0044560fa1e32710260ab79d3cb`	Hosted	Télécharger
`preprocessor_config.json`	390 bytes	`27225450…16f4e516` `27225450ac9c6529872ee1924fcb0962ff5634834f817040f444118116f4e516`	Hosted	Télécharger
`processor_config.json`	1.3 KB	`14932921…5801385b` `14932921ca485d458a04dafd8069fbb0a4505622a48208d19ed247115801385b`	Hosted	Télécharger
`tokenizer_config.json`	1.14 KB	`e98f1901…aafa1182` `e98f1901ac6f0adff67b1d540bfa0c36ac1a0cf59eb72ed78146ef89aafa1182`	Hosted	Télécharger
`tokenizer.json`	20 MB	`87a7830d…3db72de4` `87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4`	Hosted	Télécharger
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	859 bytes	—	Upstream only	File metadata

Vérifier un téléchargement

In the folder where you saved chat_template.jinja, run:

macOS

shasum -a 256 -- 'chat_template.jinja'

Linux

sha256sum -- 'chat_template.jinja'

Windows

Get-FileHash -LiteralPath 'chat_template.jinja' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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