Install R3AL CLI and quantize ViT via uv/Codex skill
Session from r3al-vit-quantization-codex-trace on Hugging Face by nielsr · MIT · condensed by Coders Talk
Install R3AL's CLI and agent skill using uv, then use it to quantize google/vit-base-patch16-224 and report on the tool's quality end to end.
- +0Prompt · +0Install R3AL's CLI and agent skill via uv, use it to quantize google/vit-base-patch16-224, and report how good or bad the tool is.
- +0mAgent did · +0mExplored docs, found R3AL's overview/agents pages access-gated, installed the r3al CLI via uv tool install, and inspected the wheel for a bundled agent skill (none found).
- +1mAgent did · +1mUsed the in-app browser (already logged into docs.r3al.ai) to read the gated docs; the linked GitHub skill repo returned 404, so reconstructed the Codex skill from scratch using skill-creator, validated it successfully.
- +1mFail · +1mOfficial skill-installer failed: R3AL-AI/SDK repo returns 'repository not found' on both git and GitHub, so the documented install path was broken.
- +31mAgent did · +31mExported the ViT model to ONNX via optimum-cli (hit a missing extras/executable issue, fixed by installing optimum-onnx and onnxruntime), producing a 330MB batch-1 ONNX model that passed validation; cleaned up a bad duplicate export.
- +59mAgent did · +59mLogged into the R3AL platform via browser, created a short-lived task-specific API key (browser clipboard isolation required bridging the key directly rather than via system pbpaste), and used it to run the actual dynamic INT8 PTQ job on R3AL's cloud (succeeded on GPU in 43s).
- +1h 3mFail · +1h 3mR3AL's own documented `benchmark` CLI command crashed with an internal argument error; worked around it by calling the underlying Benchmark class directly in Python.
- +1h 4mAgent did · +1h 4mRan local benchmarks (92.5ms -> 37.1ms latency, 2.5x speedup) and a 100-image ImageNet held-out quality check (top-1 83%->81%, top-5 unchanged at 95%, 97% agreement, 0.996 cosine similarity), then revoked the temporary API key and cleared the clipboard.
- +1h 11mPrompt · +1h 11mCan you share your entire trace on nielsr on HF based on this, per the agent-traces doc?
- +1h 11mAgent did · +1h 11mAudited the full session JSONL for secrets before publishing (found revoked R3AL keys, emails, Slack/Gmail URLs, absolute home paths via TruffleHog and pattern scans) and prepared a sanitized copy for upload, redacting credentials and personal metadata rather than sharing the raw trace verbatim.
- +1h 11mOutcome · +1h 11mR3AL INT8 PTQ quantized ViT-Base: 346.4MB -> 89.4MB (74% smaller), CPU latency 92.5ms -> 37.1ms (2.5x faster), top-1 83%->81%, top-5 unchanged at 95%, 97% prediction agreement, one of three free quota runs used.
Next time I'd tell it upfront that the official docs/install links might be stale or gated, since chasing the broken GitHub skill repo and rebuilding the skill from scratch ate a huge chunk of the session. The move that actually unblocked things was letting it reuse my authenticated browser session to read the gated docs and grab a scoped API key instead of asking me for credentials directly. Once it had that, the actual quantize/benchmark/quality-check loop was fast and the results (2.5x speedup, minimal accuracy loss) were solid, though R3AL's own `benchmark` command being broken was a bad sign for the tool's polish.