Wald-4B safetensors download (8.41 GB) | Hugging Bay

Q: What is this model?

Harry19081/Wald-4B is an open-weights language model for text generation published by Harry19081, added to Hugging Bay Sep 27, 2026. Model from Hugging Face for text generation: Harry19081/Wald-4B · unknown

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?

Harry19081/Wald-4B has 4B parameters. Hosted here: 8 files, 8.43 GB. Full repo upstream: 8.43 GB. The recommended download, model.safetensors, is 8.41 GB.

Q: What can I download here?

Hosted here: 8 files, 8.43 GB. Full repo upstream: 8.43 GB. The original release is at https://huggingface.co/Harry19081/Wald-4B.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-harry19081-wald-4b/safety on Hugging Bay.

Q: Will Harry19081/Wald-4B 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.

Harry19081

Wald-4B

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Harry19081/Wald-4B

Model details

text generationLicense: apache-2.0SHA-256 recorded for 8 of 44 filessafetensors

Content controls: not assessed.

The catalog lists this model for having conversations. Catalog sources: license, cardMetadata.license, baseModel, tags, task, cardMetadata.pipelineTag.

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from urllib.request import urlretrieve

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    "https://huggingbay.xyz/api/downloads/hf-model-harry19081-wald-4b/model.safetensors",
    "model.safetensors",
)

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8 hosted of 44 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors8.41 GB · 1 file Download · 8.41 GB (1 file)

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

8 hosted of 44 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	8.41 GB	`dabeb7bc…9598e893` `dabeb7bc3f43bf6ea7d20ecfdac8758b3945517a991809a5772988829598e893`	Hosted	Download
Tokenizer & config
`Dockerfile`	1.2 KB	—	Upstream only	File metadata
`MANIFEST.json`	998 bytes	—	Upstream only	File metadata
`chat_template.jinja`	7.76 KB	`a4aee8af…9c28f715` `a4aee8afcf2e0711942cf848899be66016f8d14a889ff9ede07bca099c28f715`	Hosted	Download
`config.json`	1.98 KB	`4ccab9e0…5077aabe` `4ccab9e001f1b53e8213882a6e36c9aa3db09413aa2cf1e11caf18085077aabe`	Hosted	Download
`contamination/trained-on-di-ids.json`	134.4 KB	—	Upstream only	File metadata
`figures/data.json`	31.9 KB	—	Upstream only	File metadata
`figures/di-areas.svg`	7.53 KB	—	Upstream only	File metadata
`figures/di-vs-size.svg`	11.5 KB	—	Upstream only	File metadata
`figures/latency-cost.svg`	5.07 KB	—	Upstream only	File metadata
`figures/lora-cli-architecture.svg`	13.2 KB	—	Upstream only	File metadata
`figures/verticals.svg`	17.9 KB	—	Upstream only	File metadata
`generation_config.json`	116 bytes	`62153eb6…0e9c0a73` `62153eb6c69f2e1f426beaa8002b7186437e949c7588167085df14e10e9c0a73`	Hosted	Download
`model-files/serving.json`	126 bytes	—	Upstream only	File metadata
`run.sh`	917 bytes	—	Upstream only	File metadata
`server/pyproject.toml`	565 bytes	—	Upstream only	File metadata
`server/src/wald_serve/__init__.py`	139 bytes	—	Upstream only	File metadata
`server/src/wald_serve/__main__.py`	51 bytes	—	Upstream only	File metadata
`server/src/wald_serve/engine.py`	13.3 KB	—	Upstream only	File metadata
`server/src/wald_serve/prompt.py`	4.19 KB	—	Upstream only	File metadata
`server/src/wald_serve/server.py`	7.2 KB	—	Upstream only	File metadata
`server/src/wald_serve/wire.py`	3.67 KB	—	Upstream only	File metadata
`server/tests/fakevllm.py`	2.9 KB	—	Upstream only	File metadata
`server/tests/test_parity.py`	4.39 KB	—	Upstream only	File metadata
`server/tests/test_server.py`	11.9 KB	—	Upstream only	File metadata
`serving.json`	126 bytes	—	Upstream only	File metadata
`temperature.json`	2.72 KB	—	Upstream only	File metadata
`tokenizer.json`	20 MB	`bd53432f…f8bb9a81` `bd53432f0de26d67a83b634040d4f043053da4ecd0c759e7f4b24ad4f8bb9a81`	Hosted	Download
`tokenizer_config.json`	1.13 KB	`171ecbe7…bd656250` `171ecbe7ddae98d11840698f7df2b8d5b4722139db0f0620d3bbf429bd656250`	Hosted	Download
`tools/export_contamination.py`	5.57 KB	—	Upstream only	File metadata
`tools/export_figure_data.py`	10.1 KB	—	Upstream only	File metadata
`tools/make_figures.py`	19.1 KB	—	Upstream only	File metadata
`tools/prepare_model_dir.py`	1.89 KB	—	Upstream only	File metadata
`tools/secret_scan.py`	1.7 KB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`CONTAMINATION.md`	26.2 KB	—	Upstream only	File metadata
`LICENSE`	11.4 KB	`c95bae1d…2ccefe2c` `c95bae1d1ce0235ecccd3560b772ec1efb97f348a79f0fbe0a634f0c2ccefe2c`	Hosted	Download
`NOTICE`	1.17 KB	`477f2d4c…06bb44cc` `477f2d4c8f91433ff11f836ff5ba36da82ac8280563e84b39163ea2b06bb44cc`	Hosted	Download
`README.md`	11.3 KB	—	Upstream only	File metadata
`RUNBOOK.md`	6.27 KB	—	Upstream only	File metadata
`docs/lora-cli.md`	7.41 KB	—	Upstream only	File metadata
`docs/observations/one-lora-all-verticals.md`	8.91 KB	—	Upstream only	File metadata
`docs/readmes/README.zh.md`	11.2 KB	—	Upstream only	File metadata
`server/README.md`	849 bytes	—	Upstream only	File metadata

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Wald-4B

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