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

next-270m

Can I run next-270m on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 10 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

next-270m is an open-weights language model for text generation. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

As of the recorded file availability check on 2026-10-22.

Recorded SHA-256 for model.safetensors: c6903c5db993aead89b677a594d2519345e59f6e4040b0c5e423d1a79cd95ebb. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Updated 2026-10-21 · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

Model metadata: As of 2026-08-30 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

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thelamapi/next-270m

Model details

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

Content controls: not assessed.

The catalog lists this model for generating text. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

Can I run it?View as JSON →

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

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

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

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

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

Open-file help

Content controls: not assessed.

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Compare your file’s SHA-256 with the recorded hash.

Model facts

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 (file plus room to run it). 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.

What's included

10 hosted of 15 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

About this model

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.

Quick facts

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
File hashes: Hashes recorded. Date not recorded.

License & source

License: mit

10 hosted of 15 listed

Check the license text and keep the required notices when you use or share the files.

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)