Instructions to use AmPac/trace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AmPac/trace with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("AmPac/trace") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use AmPac/trace with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "AmPac/trace" --prompt "Once upon a time"
- Atomic Chat
exam-v1: Codex 19/76 vs Trace 74/76 (not Hub gate)
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README.md
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@@ -117,9 +117,21 @@ Weights learn **how to screen**. Facts that move (SOP revs, notices) stay in the
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## exam-v1 (not the Hub gate)
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## Quickstart
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## exam-v1 (not the Hub gate)
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Same 76 files. Same grader. Frontier seats are naked JSON. Trace is the product seat. Holdout n=12 is the Hub number.
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| Seat | All-pass | False kill | SOP clock |
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| Qwen 2.5 7B | 0.00 (0/76) | 0.12 | 0.00 |
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| Qwen + dated RAG | 0.16 (12/76) | 0.04 | 0.70 |
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| Qwen + RAG + tools | 0.20 (15/76) | 0.03 | 0.71 |
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| Codex | 0.25 (19/76) | 0 | 0.89 |
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| **Trace** | **0.97 (74/76)** | **0** | **1.00** |
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Codex occupancy 8/8; pass family 0/20 (labels `needs_facts`, not a false kill). Trace affiliation 6/8; every other family 8/8 or 20/20. Claude and Grok exam still running. `verified: false`.
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## Quickstart
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