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Anas kazim
Anaskazim123
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GGML and llama.cpp join HF to ensure the long-term progress of Local AI
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Prototype/proposal repo: https://github.com/frumu-ai/trace-share Goal: an opt-in Rust CLI that ingests local coding-agent logs (Codex/Claude/VS Code agents), scrubs secrets/PII locally (gitleaks + deterministic redaction), and exports structured “episodes” intended for OSS model training (SFT + tool-use traces). Status: local-only right now (uploads nothing). Missing pieces are: a home to publish versioned dataset snapshots (JSONL/Parquet + manifests/checksums), and an optional vector index for search/dedupe/curation. Hugging Face is the most natural distribution channel because the end product is a Hub Dataset (versioned downloadable snapshots). I’m looking for direct Hugging Face support (recommended dataset layout + publishing workflow, and ideally storage/bandwidth support as releases scale). Scale ref: ~700MB raw Codex logs → ~36MB sanitized export.
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GGML and llama.cpp join HF to ensure the long-term progress of Local AI
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https://www.aaghaz.ai/r/anaskazim
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