# fromziro/Er-Tiny-1.3M

Model from Hugging Face for llm: fromziro/Er-Tiny-1.3M · unknown

## Facts

- Type: LLM
- Task: general
- Framework: unknown
- License: apache-2.0 — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/Apache-2.0.html)
- Source: https://huggingface.co/fromziro/Er-Tiny-1.3M
- Hosting: hosted (5 files)
- Files: 5 hosted of 6 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: 5 files, 5.51 MB
- Full repo upstream: 5.51 MB
- Recommended file: 5.34 MB · model.safetensors
- Parameters: 1M
- Download: https://huggingbay.xyz/artifact/hf-model-fromziro-er-tiny-1-3m/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-fromziro-er-tiny-1-3m/download-plan)
- Per-file SHA-256: available for 5 of 5 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-fromziro-er-tiny-1-3m/files?limit=100
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 288
- Stars: 7
- Card completeness: 91%

## Description

External Hugging Face catalog record for fromziro/Er-Tiny-1.3M. Library: unknown. Languages: en. Datasets referenced by card metadata: HuggingFaceFW/fineweb-edu, EleutherAI/the_pile_deduplicated, HuggingFaceTB/dclm-edu, HuggingFaceTB/finemath, HuggingFaceTB/smollm-corpus, wikimedia/wikipedia. Popularity signal at import: 135 downloads and 7 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: general
- Library: unknown
- Task categories: general
- Languages: en
- Referenced datasets: HuggingFaceFW/fineweb-edu, EleutherAI/the_pile_deduplicated, HuggingFaceTB/dclm-edu, HuggingFaceTB/finemath, HuggingFaceTB/smollm-corpus, wikimedia/wikipedia, Harley-ml/lesswrong, Harley-ml/HFMC
- File hints: 6 upstream file samples

## Referenced Data

- Dataset: HuggingFaceFW/fineweb-edu
- Dataset: EleutherAI/the_pile_deduplicated
- Dataset: HuggingFaceTB/dclm-edu
- Dataset: HuggingFaceTB/finemath
- Dataset: HuggingFaceTB/smollm-corpus
- Dataset: wikimedia/wikipedia
- Dataset: Harley-ml/lesswrong
- Dataset: Harley-ml/HFMC
- Dataset: AxiomicLabs/NPset-2-Python-Edu

## File Hints

- .gitattributes (1.5 KB)
- README.md (7.6 KB)
- config.json (1.1 KB)
- model.safetensors (5.1 MB) LFS
- tokenizer.json (153 KB)
- tokenizer_config.json (1.1 KB)

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-08-30T10:31:36.724Z.
- Open license detected as apache-2.0.
- Model card references dataset context: HuggingFaceFW/fineweb-edu, EleutherAI/the_pile_deduplicated, HuggingFaceTB/dclm-edu, HuggingFaceTB/finemath.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-fromziro-er-tiny-1-3m
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-fromziro-er-tiny-1-3m/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-fromziro-er-tiny-1-3m/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-fromziro-er-tiny-1-3m/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-fromziro-er-tiny-1-3m
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-fromziro-er-tiny-1-3m/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-fromziro-er-tiny-1-3m&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-fromziro-er-tiny-1-3m/decentralized-fallbacks
