# vedantjadhav701/SparkAI-47m-llama-instruct

Model from Hugging Face for text generation: vedantjadhav701/SparkAI-47m-llama-instruct · transformers

## Facts

- Type: LLM
- Task: text-generation
- Framework: transformers
- 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/vedantjadhav701/SparkAI-47m-llama-instruct
- Hosting: hosted (6 files)
- Files: 6 hosted of 8 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: 6 files, 99 MB
- Full repo upstream: 99 MB
- Recommended file: 95.4 MB · model.safetensors
- Parameters: 47M
- Download: https://huggingbay.xyz/artifact/hf-model-vedantjadhav701-sparkai-47m-llama-instruct/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-vedantjadhav701-sparkai-47m-llama-instruct/download-plan)
- Per-file SHA-256: available for 6 of 6 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-vedantjadhav701-sparkai-47m-llama-instruct/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: 716
- Stars: 2
- Card completeness: 96%

## Description

External Hugging Face catalog record for vedantjadhav701/SparkAI-47m-llama-instruct. Task: text generation. Library: transformers. Languages: en. Datasets referenced by card metadata: HuggingFaceFW/fineweb-edu, HuggingFaceTB/cosmopedia-v2. Base model: vedantjadhav701/SparkAI-47m-llama-10b-token. Popularity signal at import: 716 downloads and 2 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: text-generation
- Library: transformers
- Base model: vedantjadhav701/SparkAI-47m-llama-10b-token
- Task categories: text-generation
- Languages: en
- Referenced datasets: HuggingFaceFW/fineweb-edu, HuggingFaceTB/cosmopedia-v2
- File hints: 8 upstream file samples

## Referenced Data

- Dataset: HuggingFaceFW/fineweb-edu
- Dataset: HuggingFaceTB/cosmopedia-v2

## File Hints

- .gitattributes (1.5 KB)
- README.md (4.3 KB)
- chat_template.jinja (189 B)
- config.json (720 B)
- generation_config.json (195 B)
- model.safetensors (91 MB) LFS
- tokenizer.json (3.4 MB)
- tokenizer_config.json (460 B)

## 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 2026-09-22T21:33:00.885Z.
- Open license detected as apache-2.0.
- Model card references dataset context: HuggingFaceFW/fineweb-edu, HuggingFaceTB/cosmopedia-v2.
- 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-vedantjadhav701-sparkai-47m-llama-instruct
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-vedantjadhav701-sparkai-47m-llama-instruct/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-vedantjadhav701-sparkai-47m-llama-instruct/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-vedantjadhav701-sparkai-47m-llama-instruct/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-vedantjadhav701-sparkai-47m-llama-instruct
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-vedantjadhav701-sparkai-47m-llama-instruct/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-vedantjadhav701-sparkai-47m-llama-instruct&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-vedantjadhav701-sparkai-47m-llama-instruct/decentralized-fallbacks