KernelGen-LM-8B safetensors download | Hugging Bay

Q: What is this model?

AscendKernelGen/KernelGen-LM-8B is an open-weights language model for text generation published by AscendKernelGen, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: AscendKernelGen/KernelGen-LM-8B · 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?

AscendKernelGen/KernelGen-LM-8B has 8B parameters. Hosted here: at least 12 listed files; full count and size unknown. Full repo upstream: 16.4 GB.

Q: What can I download here?

Hosted here: at least 12 listed files; full count and size unknown. Full repo upstream: 16.4 GB. The original release is at https://huggingface.co/AscendKernelGen/KernelGen-LM-8B.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 12 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-ascendkernelgen-kernelgen-lm-8b/safety on Hugging Bay.

Q: Will AscendKernelGen/KernelGen-LM-8B 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.

AscendKernelGen

KernelGen-LM-8B

AscendKernelGen/KernelGen-LM-8B

Model details

text generationLicense: apache-2.0SHA-256 recorded for 14 of 15 filessafetensors

Content controls: not assessed.

Listed for generating code; for developers building coding tools. Catalog sources: license, cardMetadata.license, tags, task, cardMetadata.pipelineTag.

View as JSON →

12 hosted of 15 listed

Hashes recorded. Date not recorded.

File	आकार	SHA-256	स्रोत	डाउनलोड करें
Weights
`model-00001-of-00004.safetensors`	4.9 GB	`92772d42…7a5e7f0a` `92772d427587bf41c0f64ae1458277e45020bc0189c5470a09bf89a57a5e7f0a`	Hosted	डाउनलोड करें
`model-00002-of-00004.safetensors`	4.92 GB	`0dd3db31…d8b5b035` `0dd3db31259bf50fdf1bda332328d6c0fc2d949ad6258bb1b991f786d8b5b035`	Hosted	डाउनलोड करें
`model-00003-of-00004.safetensors`	4.98 GB	`aa6ce567…c3610a63` `aa6ce567fc68e3e2162ab0f8b727d3f20b188c15aa577d894b5522adc3610a63`	Hosted	डाउनलोड करें
`model-00004-of-00004.safetensors`	1.58 GB	`b3e650c6…8ac34c77` `b3e650c6dcb7f8fc212a35043229323782a952693da6b138d88292cb8ac34c77`	Hosted	डाउनलोड करें
Tokenizer & config
`compare_swish_impl.png`	536.4 KB	`169de2dc…9eb24078` `169de2dc78ce93a62984560741f5ddd08a1428cae4073e87958f38de9eb24078`	Upstream only	File metadata
`config.json`	1.54 KB	`434a5e11…6e596ca4` `434a5e1130330ca50d8f5bf89619f0931895b19039add18aa4f612bc6e596ca4`	Hosted	डाउनलोड करें
`generation_config.json`	214 bytes	`427565fe…ae778587` `427565fe9c01ac08f4a0baaeb536322779193d8d28ba723831b49ed5ae778587`	Hosted	डाउनलोड करें
`knowledge_injection_effect.png`	1.01 MB	`bbc43cc6…18eadd27` `bbc43cc6ddeb92a7ccadc600b87ae40714f140cee920320223dec38218eadd27`	Upstream only	File metadata
`merges.txt`	1.67 MB	`8831e4f1…08a904d5` `8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5`	Hosted	डाउनलोड करें
`model.safetensors.index.json`	32.9 KB	`e7e4bdc5…9d64df95` `e7e4bdc58d3302c97357f27979b270987dd620cf0cd9b1c130e3a51c9d64df95`	Hosted	डाउनलोड करें
`tokenizer_config.json`	9.73 KB	`d5d09f07…3acd8101` `d5d09f07b48c3086c508b30d1c9114bd1189145b74e982a265350c923acd8101`	Hosted	डाउनलोड करें
`vocab.json`	2.78 MB	`ca10d7e9…b1440910` `ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910`	Hosted	डाउनलोड करें
`tokenizer.json`	11.4 MB	`aeb13307…4492dae4` `aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4`	Hosted	डाउनलोड करें
Docs
`.gitattributes`	1.7 KB	—	Upstream only	File metadata
`README.md`	7.55 KB	`e7f4dcc2…b7bc4978` `e7f4dcc28dab24549611a7cab5263d3dde98dcd2cf6bf114b4861da5b7bc4978`	Hosted	डाउनलोड करें

डाउनलोड की जाँच करें

In the folder where you saved README.md, run:

macOS

shasum -a 256 -- 'README.md'

Linux

sha256sum -- 'README.md'

Windows

Get-FileHash -LiteralPath 'README.md' -Algorithm SHA256

Compare the result with the recorded SHA-256.

मिलते-जुलते होस्ट किए गए मॉडल

होस्ट किए गए मॉडल देखें

KernelGen-LM-8B

डाउनलोड की जाँच करें

मिलते-जुलते होस्ट किए गए मॉडल

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