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README.md

Scripts

Stable, product-facing helper scripts. Research-only tooling lives under ../research/scripts/.

Tracked product scripts

Script Purpose
bootstrap_gpt2_demo.py Download/convert default GPT-2 demo weights + tokenizer (./espresso / prepare)
export_gpt2_coreml.py Export GPT-2 Core ML trunk baselines used by compare / bench
run_gpt2_coreml_reference.py Optional Python Core ML reference runner (Swift native fallback exists)
ensure_coreml_model.sh Ensure a CoreML baseline model is available for compare benches
generate_coreml_model.py Build CoreML packages used in comparisons
reproduce_local_real_artifact_claim.sh Reproduce the public real-artifact claim path
run_power_benchmark.sh Power / energy-oriented local runs
generate-benchmark-dashboard.sh Regenerate docs/benchmarks.md from latest.json
assert_readme_claims.py CI guard: README numbers must match latest.json
assert_demo_helpers.py CI guard: GPT-2 demo helper scripts must remain tracked
convert_weights_gpt2.py / convert_weights_llama.py Weight conversion helpers
convert_qwen25_05b_to_esp.py Convert Qwen2.5-0.5B-Instruct (default) or Qwen2.5-1.5B-Instruct (--model) to a packed .esp bundle
qwen25_pytorch_reference.py PyTorch fp32 oracle: layer-parity, logit-parity (probe + NumPy LM head), greedy fixtures
chat_plain_name_recall.py 10-turn ./espresso chat --plain --greedy smoke: turn 1 names Ada, a later turn must recall it. Writes docs/qwen15b-chat-name-recall.txt.
mlx_qwen_stream.py Persistent MLX JSON-line driver for ./espresso chat --vs mlx. Native fp16/bf16; quantized loads require --allow-quant.
chat_vs_mlx_four_turn.py Scripted 4-turn ./espresso chat --vs mlx --plain --greedy --power driver. Prints the post-run scoreboard; does not record a GIF.
espresso_llama_weights.py / stories_model_identity.py Stories/Llama weight identity helpers
export_llama_coreml.py Export Llama-family CoreML baselines
benchmark-prompts.txt / stories_prompt_suite.txt Fixed prompt suites

Python unit tests for product helpers: scripts/tests/.

Research scripts (not product)

Autoresearch suite runners, Stories distillation, factored-head packaging, and rejected draft packaging live in research/scripts/. Do not link them from the README product journey.