functiongemma_merged_sample download | Hugging Bay

Q: What is this model?

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

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: 10 files, 575.5 MB. Full repo upstream: 575.5 MB. The recommended download, model.safetensors, is 536.2 MB.

Q: What can I download here?

Hosted here: 10 files, 575.5 MB. Full repo upstream: 575.5 MB. The original release is at https://huggingface.co/DavidLanz/functiongemma_merged_sample.

Q: 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-davidlanz-functiongemma-merged-sample/safety on Hugging Bay.

Q: Will DavidLanz/functiongemma_merged_sample 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.

DavidLanz

functiongemma_merged_sample

Can I run functiongemma_merged_sample 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.

functiongemma_merged_sample 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: 8f2ae04b8a70c13f097ac24e5ecadea617c27d20a573a56ba2981d7d1cbda415. 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 2026-09-03 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

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DavidLanz/functiongemma_merged_sample

Model details

text generationLicense: apache-2.0SHA-256 recorded for 10 of 11 filessafetensors

Content controls: not assessed.

The catalog lists this model for having conversations. Catalog sources: license, cardMetadata.license, baseModel, tags, 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-davidlanz-functiongemma-merged-sample/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 11 listed · Hashes recorded. Date not recorded.

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

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Check your download →

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

10 hosted of 11 listed

Hashes recorded. Date not recorded.

File	आकार	SHA-256	स्रोत	डाउनलोड करें
Weights
`model.safetensors` Default	536.2 MB	`8f2ae04b…1cbda415` `8f2ae04b8a70c13f097ac24e5ecadea617c27d20a573a56ba2981d7d1cbda415`	Hosted	डाउनलोड करें
Tokenizer & config
`added_tokens.json`	63 bytes	`52233b28…51d97153` `52233b287bd11f2f03d19fb9823e15698d9d55a811e2cce8f02bae2551d97153`	Hosted	डाउनलोड करें
`chat_template.jinja`	13.9 KB	`0dbaf708…b9dd604a` `0dbaf70819c970c9bacd7125be8e9db46b7bc0e6ed3bc303d92bd58fb9dd604a`	Hosted	डाउनलोड करें
`config.json`	1.56 KB	`18eface8…f072ce97` `18eface8180884bdd42f13e9b13162c652f79949b7a075ea87087125f072ce97`	Hosted	डाउनलोड करें
`generation_config.json`	205 bytes	`7c9662f8…26622188` `7c9662f8217342911cedcad2d20783f74cb3643b7f5b16f88cb9e6e326622188`	Hosted	डाउनलोड करें
`special_tokens_map.json`	714 bytes	`8108fc6f…84df3c13` `8108fc6fd7cfcd699c376de8ec30d0e117a915f6a03f20e04a4c3b6a84df3c13`	Hosted	डाउनलोड करें
`tokenizer.json`	33.4 MB	`b6b09a0b…27d41fb2` `b6b09a0b4a803ad453063ca4bb49a784540e8120004e2450e025df2b27d41fb2`	Hosted	डाउनलोड करें
`tokenizer.model`	4.69 MB	`aa009fcb…7a50ceb3` `aa009fcbc3589a9904d30d04834094fea4653c2ac6d2de2cd1262d4f7a50ceb3`	Hosted	डाउनलोड करें
`tokenizer_config.json`	1.17 MB	`757e9d67…b7dd058b` `757e9d67df2bc27d9eeaff0734a766ee3d8865b2ea62891ce12b7e9eb7dd058b`	Hosted	डाउनलोड करें
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	596 bytes	`0e80e69d…60686eca` `0e80e69d007418fa4041208c347d14e92409e0dc79b9ef9effd5e44560686eca`	Hosted	डाउनलोड करें

डाउनलोड की जाँच करें

In the folder where you saved model.safetensors, run:

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shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

functiongemma_merged_sample

Can I run functiongemma_merged_sample on my computer?

डाउनलोड की जाँच करें

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