Downloads · 30 days
0
mailtotanvir/zincrom
zincrom is a machine learning model from mailtotanvir. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is a local draft for a possible Hugging Face metadata repository. It contains no model weights and is not yet approved for publication.
Downloads · 30 days
0
Access
Public
Updated Sep 14, 2026
Repo size
—
Likes
0
Public
Click a slice to open those files.
.json3.9 KB · 46%
From the Hugging Face model README
This is a local draft for a possible Hugging Face metadata repository. It contains no model weights and is not yet approved for publication.
No model-weight binaries are stored or redistributed in this bundle. Users must obtain base-model weights from the original upstream publishers under the applicable licenses. License metadata for this future repository must remain unset until the contents and upstream obligations receive human review.
The empirical evaluation closed on 2026-07-25 and ran on one Oracle OCI A1 host with four Arm Neoverse-N1 cores and 24 GiB RAM.
allenai/OLMoE-1B-7B-0924-InstructQ4_K_M GGUFibm-granite/granite-3.1-3b-a800m-instructQ4_K_M GGUFQwen/Qwen1.5-MoE-A2.7B-ChatQ4_K_M GGUFThese policies are bounded measurements, not universal defaults. Unknown model/build combinations require a conservative fallback and new validation.
The accompanying weight_manifest.json deliberately records unresolved source hashes as null. The original upstream GGUF files are no longer present on the evaluation host, so their exact SHA-256 hashes cannot be reconstructed from the current repository. No derivative shard is included.
Before publication, a human reviewer must verify:
docs/publication/technical_report.mddocs/CURRENT_EVIDENCE.mddocs/ZINCROM_CLAIMS_TEST_RESULTS_SUMMARY.mdhttps://github.com/mailtotanvir/zincrom