next-270m GGUF download (536 MB) | Hugging Bay

next-270m

thelamapi/next-270m

Model details

text generationLicense: mitSHA-256 recorded for 14 of 15 filessafetensors · GGUF

Content controls: not assessed.

Listed for generating text; for developers building text generation tools. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-thelamapi-next-270m/model.safetensors",
    "model.safetensors",
)

Other ways

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10 hosted of 15 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors536 MB · 1 file Download · 536 MB (1 file)

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Modellinformationen

next-270m is an open-weights language model for text generation. The primary file is model.safetensors (536 MB). The primary file needs about 2 GB free for the selected file. License: MIT. The SHA-256 prefix is c6903c5db993. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included. The size line uses recorded file bytes when they are present in this model record.

Enthaltene Dateien

10 hosted of 15 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

Über dieses Modell

External Hugging Face catalog record for thelamapi/next-270m. Task: text generation. Library: transformers. Languages: tr. Datasets referenced by card metadata: mlabonne/FineTome-100k, ITCL/FineTomeOs, Gryphe/ChatGPT-4o-Writing-Prompts, dongguanting/ARPO-SFT-54K, GreenerPastures/All-Your-Base-Full, Gryphe/Opus-WritingPrompts. Popularity signal at import: 89 downloads and 5 likes.

Kurzinfo

Parameters: 270M
Hosted here: 10 hosted of 15 listed
Full repo upstream: 2.49 GB
Recommended file: 536.2 MB · model.safetensors
Languages: tr
Format: safetensors · GGUF
Downloads on Hugging Face: 161
File hashes: Hashes recorded. Date not recorded.

Lizenz und Quelle

License: mit

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Upstream source →

See the JSON record →

License: MIT. Free to use and share, keep the credit notice
Task: text generation
Hosted here: at least 10 listed files; full count and size unknown
Full repo upstream: 2.49 GB
Recommended file: 536.2 MB · model.safetensors
Parameters: 270M
Files: 10 hosted of 15 listed
Download: Download here (10 hosted files)
Added to Hugging Bay: Jun 30, 2026
Updated at source: Aug 30, 2026
Source: thelamapi/next-270m

FAQ

What is this model?

thelamapi/next-270m is an open-weights language model for text generation published by thelamapi, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: thelamapi/next-270m · transformers

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.

How big is it?

thelamapi/next-270m has 270M parameters. Hosted here: at least 10 listed files; full count and size unknown. Full repo upstream: 2.49 GB. The recommended download, model.safetensors, is 536.2 MB.

What can I download here?

Hosted here: at least 10 listed files; full count and size unknown. Full repo upstream: 2.49 GB. The original release is at https://huggingface.co/thelamapi/next-270m.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 10 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-thelamapi-next-270m/safety on Hugging Bay.

Will thelamapi/next-270m 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.

Other versions of this model

1 repack listed on Hugging Face that name this model as their base (from each publisher card). This does not mean the files match the original weights.

mradermacher/next-270m-GGUF (GGUF)