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

Can I run Stable-DiffCoder-8B-Instruct-heretic on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 9 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.

Stable-DiffCoder-8B-Instruct-heretic 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-00001-of-00002.safetensors: 017b62adbfcaf0e29ea232ebc5f2ebb72ae550233940b0caf68a59523c2ed92c. 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 2026-09-19 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

Try browser chat with a small demo model (a separate model; device support is checked before loading).

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

Model details

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

Content controls: not assessed.

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

View as JSON →

9 hosted of 12 listed

Hashes recorded. Date not recorded.

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

检查下载文件

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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Can I run Stable-DiffCoder-8B-Instruct-heretic on my computer?

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