Stable-DiffCoder-8B-Instruct-heretic download | Hugging Bay

Q: What is this model?

trohrbaugh/Stable-DiffCoder-8B-Instruct-heretic is an open-weights language model for text generation published by trohrbaugh, added to Hugging Bay Sep 16, 2026. Model from Hugging Face for text generation: trohrbaugh/Stable-DiffCoder-8B-Instruct-heretic · transformers

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?

trohrbaugh/Stable-DiffCoder-8B-Instruct-heretic has 8B parameters. Hosted here: 9 files, 16.5 GB. Full repo upstream: 16.5 GB. The recommended download, a 2-file weight set, is 16.5 GB.

Q: What can I download here?

Hosted here: 9 files, 16.5 GB. Full repo upstream: 16.5 GB. The original release is at https://huggingface.co/trohrbaugh/Stable-DiffCoder-8B-Instruct-heretic.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 9 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-trohrbaugh-stable-diffcoder-8b-instruct-heretic/safety on Hugging Bay.

Q: Will trohrbaugh/Stable-DiffCoder-8B-Instruct-heretic 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.

trohrbaugh

Stable-DiffCoder-8B-Instruct-heretic

trohrbaugh/Stable-DiffCoder-8B-Instruct-heretic

Model details

text generationLicense: mitSHA-256 recorded for 9 of 12 filessafetensors

Content controls: not assessed.

Listed for chat; for developers building conversational tools. Catalog sources: license, cardMetadata.license, tags, task, cardMetadata.pipelineTag.

View as JSON →

9 hosted of 12 listed

Hashes recorded. Date not recorded.

File	Taille	SHA-256	Source	Télécharger
Weights
`model-00001-of-00002.safetensors`	9.96 GB	`017b62ad…3c2ed92c` `017b62adbfcaf0e29ea232ebc5f2ebb72ae550233940b0caf68a59523c2ed92c`	Hosted	Télécharger
`model-00002-of-00002.safetensors`	6.54 GB	`c91d77b1…cd9bc538` `c91d77b1c56c6ef4195092c37053db8957d714ba5012b7b253e43cf7cd9bc538`	Hosted	Télécharger
Tokenizer & config
`chat_template.jinja`	610 bytes	`3e5e10cb…4b37ccbe` `3e5e10cb59dfb7b896283a11e7e10e349cac5e790883dfbcd3cd36244b37ccbe`	Hosted	Télécharger
`config.json`	971 bytes	`53c0fc21…e16a881c` `53c0fc2102b2ae40ae6873e96d60c00108d3394cf50f7fe838c973cee16a881c`	Hosted	Télécharger
`generation_config.json`	131 bytes	`5d47a5de…faad83b6` `5d47a5de1c7718b2c401f6950152358aaaa737ef41adad859f9f08c4faad83b6`	Hosted	Télécharger
`model.safetensors.index.json`	24 KB	`40fa90d8…cb8942d2` `40fa90d8107e709f7a04c6d62477b4cc894c4c7496942b9fd02575f4cb8942d2`	Hosted	Télécharger
`modeling_stable_diffcoder.py`	10 KB	—	Upstream only	File metadata
`special_tokens_map.json`	760 bytes	`4c0be99b…d96ae158` `4c0be99bc70d51bf5cec2f9fbc2eb7bea3f0b4439ddd74f71065683fd96ae158`	Hosted	Télécharger
`tokenizer.json`	133 bytes	`9354307d…2a3a6ec5` `9354307daacb34e410d9a14e12e9b037f64c72d2fbc897d9bcc1fb592a3a6ec5`	Hosted	Télécharger
`tokenizer_config.json`	28.5 KB	`5def6154…6745dd65` `5def615480e689157ca372272d52eedeba69c98746ac2557908a5b1a6745dd65`	Hosted	Télécharger
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	10.4 KB	—	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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