# cypienai/cymist-2-v02-SFT

Model from Hugging Face for text generation: cypienai/cymist-2-v02-SFT · 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/cypienai/cymist-2-v02-SFT
- Hosting: hosted (10 files)
- Files: 10 hosted of 11 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: 10 files, 14.5 GB
- Full repo upstream: 14.5 GB
- Recommended file: 14.5 GB (3 files)
- Download: https://huggingbay.xyz/artifact/hf-model-cypienai-cymist-2-v02-sft/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-cypienai-cymist-2-v02-sft/download-plan)
- Per-file SHA-256: available for 10 of 10 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-cypienai-cymist-2-v02-sft/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: 24
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for cypienai/cymist-2-v02-SFT. Task: text generation. Library: transformers. Languages: tr, en. Base model: mistralai/Mistral-7B-v0.1. Includes 6 model-card evaluation signals. Popularity signal at import: 19 downloads and 0 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: text-generation
- Library: transformers
- Base model: mistralai/Mistral-7B-v0.1
- Task categories: text-generation
- Languages: tr, en
- Paper ids: 1910.09700
- Model-index entries: cymist-2-v02-SFT
- Evaluation signals: 6 model-card eval results
- File hints: 11 upstream file samples

## Evaluation Signals

- AI2 Reasoning Challenge (25-Shot): normalized accuracy = 60.07 (Text Generation)
- HellaSwag (10-Shot): normalized accuracy = 83.43 (Text Generation)
- TruthfulQA (0-shot): mc2 = 52.06 (Text Generation)
- GSM8k (5-shot): accuracy = 38.97 (Text Generation)
- Winogrande (5-shot): accuracy = 78.61 (Text Generation)
- MMLU (5-Shot): accuracy = 60.07 (Text Generation)

## Referenced Data

- Paper: 1910.09700

## File Hints

- .gitattributes (1.5 KB)
- README.md (6.7 KB)
- config.json (645 B)
- generation_config.json (111 B)
- model-00001-of-00003.safetensors (4.6 GB) LFS
- model-00002-of-00003.safetensors (4.7 GB) LFS
- model-00003-of-00003.safetensors (4.2 GB) LFS
- model.safetensors.index.json (23 KB)
- special_tokens_map.json (551 B)
- tokenizer.json (1.7 MB)
- tokenizer_config.json (1.3 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 2026-09-03T20:19:38.512Z.
- Open license detected as apache-2.0.
- Model-index metadata found for cymist-2-v02-SFT.
- 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-cypienai-cymist-2-v02-sft
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-cypienai-cymist-2-v02-sft/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-cypienai-cymist-2-v02-sft/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-cypienai-cymist-2-v02-sft/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-cypienai-cymist-2-v02-sft
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-cypienai-cymist-2-v02-sft/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-cypienai-cymist-2-v02-sft&limit=100
- Request mirror: not applicable.
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