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Alpamys 1e1abacb44 feat(catalog): v0.51.0 — Model Catalog Expansion + Alternative Hubs 
26 new ready-made recipes (catalog 80 → 106) covering 25 model families:
GPT-OSS 20B/120B, GLM 4.6/5, Kimi K2 / K2-Thinking GRPO, MiniMax-M2,
QwQ-32B GRPO, QVQ-72B, Granite 4, Liquid LFM2, Cogito v2, Mistral
Small 3 / Medium 3.5, Magistral / Devstral / Ministral, MedGemma,
EmbeddingGemma, LLaVA-Next, InternVL 3.5, Voxtral, Baichuan 2,
Qwen-Image, DeepSeek-OCR, Paddle-OCR-VL.

Part D: MULTIPACK_ARCHITECTURES extended 18 → 38 (Granite, GLM, Kimi,
MiniMax, QwQ, QVQ, GPT-OSS, Magistral, Devstral, Ministral, MedGemma,
LFM2, Cogito, Hunyuan, Ernie, Yi, Baichuan, ChatGLM).

Part E: alternative model hubs. New soup_cli/utils/hubs.py with closed
allowlist (hf/modelscope/modelers), SSRF-hardened endpoint validators
mirroring v0.29.0 HF_ENDPOINT policy (scheme allowlist, loopback-only
HTTP, RFC1918/link-local rejection, control-char/CRLF rejection,
IPv6-mapped private rejection). TrainingConfig.hub Literal field with
case-insensitive _normalize_hub field_validator; SoupConfig
_validate_hub_supported rejects backend=mlx + hub != hf.

Live downloader / uploader wiring deferred to v0.51.1 (matches the
v0.27.0 MII / v0.37.0 multipack stub-then-live pattern).

+455 tests (6729 → 7184), 0 regressions.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 		2026-05-12 12:05:04 +05:00
..
__init__.py Initial project setup: CLI skeleton + config + trainer + data pipeline 2026-02-20 16:14:56 +05:00
activation_offload.py feat(training): Training Speed & Memory — CCE, FP8, grad-ckpt tiers, kernel picker, cross-doc attn, activation offload (v0.28.0) 2026-04-22 22:51:15 +05:00
agent_forge.py feat(agent): Agent Forge — OpenAPI/MCP/GraphQL spec → tool-calling SFT dataset (v0.46.0 Part B) 2026-05-11 17:12:13 +05:00
agent_rollout.py feat(grpo): v0.50.0 — GRPO Plus (unsloth + axolotl RL parity) 2026-05-12 00:30:43 +05:00
anthropic_messages.py feat(v0.45.0): Plugin System & Ecosystem Wins — 5 Parts, +169 tests 2026-05-10 21:21:04 +05:00
auto_quant.py feat(trainers): v0.35.0 — Trainer Coverage (closes #60, #61, #45) 2026-04-28 15:01:42 +05:00
batch_probe.py feat(v0.40.3): Stub-to-live wave 1 (#33, #64; #65 still deferred) 2026-05-08 16:02:45 +05:00
block_expansion.py feat(trainer): Optimizer & PEFT Zoo (v0.41.0) 2026-05-10 15:35:35 +05:00
checkpoint_trigger.py fix(v0.44.0): write_trigger lstat unresolved path so symlink at trigger is detected 2026-05-10 19:28:02 +05:00
constants.py feat: add GitHub repo link to CLI output, bump version to v0.17.3 2026-03-26 15:48:04 +05:00
convergence.py feat(training): v0.32.0 — Training Stability & Auto-Tuning 2026-04-26 15:24:31 +05:00
crash.py feat(observability): v0.34.0 — Observability & Dev UX (7 Parts) 2026-04-28 13:14:49 +05:00
cross_doc_attn.py feat(training): Training Speed & Memory — CCE, FP8, grad-ckpt tiers, kernel picker, cross-doc attn, activation offload (v0.28.0) 2026-04-22 22:51:15 +05:00
curriculum.py feat: v0.23.0 — AWQ/GPTQ Export, Sample Packing, Data Split, Curriculum Learning 2026-04-03 13:55:01 +05:00
curriculum_dynamic.py feat(training): Curriculum-Aware Trainer — dynamic bucket re-weighting (v0.48.0 Part A, BETA) 2026-05-11 19:13:54 +05:00
cut_ce.py feat(training): Training Speed & Memory — CCE, FP8, grad-ckpt tiers, kernel picker, cross-doc attn, activation offload (v0.28.0) 2026-04-22 22:51:15 +05:00
data_forge.py feat(v0.47.0): Data Forge — synthetic data pipeline + data quality moat 2026-05-11 18:08:33 +05:00
data_mix.py fix(v0.48.0): lstat symlink check on original path, not realpath 2026-05-11 19:25:22 +05:00
data_pipeline.py feat(data): Data Pipeline Pro — 18 features, axolotl + LF parity (v0.42.0) 2026-05-10 16:39:31 +05:00
data_score.py feat(v0.47.0): Data Forge — synthetic data pipeline + data quality moat 2026-05-11 18:08:33 +05:00
deepspeed.py feat(v0.27.0): Multi-GPU Mastery — topology, ZeRO++, FSDP2+compile, MII, PP, recipes 2026-04-21 14:54:34 +05:00
delinearize_llama4.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
demo_bundles.py feat(eval): Tracker & Eval Pro — 18 features (v0.43.0) 2026-05-10 18:04:40 +05:00
deploy_autopilot.py feat(deploy): On-Device Deploy Autopilot — 10-profile catalog + recipe/script writer (v0.46.0 Part A) 2026-05-11 17:11:36 +05:00
dpo_variants.py feat(preference): v0.40.0 — Preference Variety (4 Parts: BCO + dispatcher + DPO variants + multi-objective) 2026-05-01 22:26:30 +05:00
encoding.py fix(v0.40.1): QA Hardening — UTF-8 bootstrap, schema strictness, multi-objective preference runtime, CLI UX 2026-05-08 12:03:16 +05:00
errors.py v0.10.3: Fix PPO trl >=0.28 API compat, improve GRPO CPU error message 2026-03-24 14:27:39 +05:00
fetch_examples.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
flash_attn.py fix: rename APIs to match test plan, fix RoPE factor detection 2026-03-26 15:14:24 +05:00
fp8.py feat(fp8): add rowwise and rowwise_with_gw_hp scaling recipes for FP8 training (#62) 2026-04-28 20:16:43 +05:00
freeze.py feat: v0.24.0 — Dataset Hub, Freeze Training, Loss Watchdog, Dataset Registry 2026-04-03 16:35:23 +05:00
fsdp.py feat(v0.27.0): Multi-GPU Mastery — topology, ZeRO++, FSDP2+compile, MII, PP, recipes 2026-04-21 14:54:34 +05:00
fsdp_consolidate.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
galore.py v0.12.0: ORPO/SimPO/IPO trainers + DoRA/LoRA+/GaLore 2026-03-25 18:12:36 +05:00
gpu.py v0.10.1: Fix 6 bugs from manual testing report 2026-03-24 12:31:37 +05:00
gpu_monitor.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
graceful_save.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
grad_accum.py feat(training): v0.32.0 — Training Stability & Auto-Tuning 2026-04-26 15:24:31 +05:00
gradient_ckpt.py feat(speed,memory): v0.28.0 features go multi-trainer (v0.33.0 Part C) 2026-04-27 18:55:50 +05:00
grpo_long_context.py feat(grpo): v0.50.0 — GRPO Plus (unsloth + axolotl RL parity) 2026-05-12 00:30:43 +05:00
grpo_variants.py feat(grpo): v0.50.0 — GRPO Plus (unsloth + axolotl RL parity) 2026-05-12 00:30:43 +05:00
hf.py feat(hf): v0.29.0 — HuggingFace Hub Deep Integration 2026-04-23 16:17:28 +05:00
hf_space.py feat(v0.40.2): Quick polish + v0.40.1 carry-overs (#36, #50, #51 + 7 papercuts) 2026-05-08 13:20:21 +05:00
hubs.py feat(catalog): v0.51.0 — Model Catalog Expansion + Alternative Hubs 2026-05-12 12:05:04 +05:00
integrations.py feat(v0.45.0): Plugin System & Ecosystem Wins — 5 Parts, +169 tests 2026-05-10 21:21:04 +05:00
jinja_analyzer.py feat(multipack): v0.37.0 — Multipack (5 Parts A/B/C/D/E) 2026-04-30 13:48:16 +05:00
kernel_picker.py feat(trainers): v0.35.0 — Trainer Coverage (closes #60, #61, #45) 2026-04-28 15:01:42 +05:00
launcher.py feat(v0.27.0): Multi-GPU Mastery — topology, ZeRO++, FSDP2+compile, MII, PP, recipes 2026-04-21 14:54:34 +05:00
liger.py fix: rename APIs to match test plan, fix RoPE factor detection 2026-03-26 15:14:24 +05:00
llama_proxy.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
llama_server_timings.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
loftq_init.py feat(trainer): Optimizer & PEFT Zoo (v0.41.0) 2026-05-10 15:35:35 +05:00
log_level.py feat(v0.40.2): Quick polish + v0.40.1 carry-overs (#36, #50, #51 + 7 papercuts) 2026-05-08 13:20:21 +05:00
long_context.py feat(long-context): v0.49.0 — YaRN, Dynamic NTK, LongLoRA S², Llama 3.1 NTK 2026-05-11 23:21:29 +05:00
longlora.py feat(long-context): v0.49.0 — YaRN, Dynamic NTK, LongLoRA S², Llama 3.1 NTK 2026-05-11 23:21:29 +05:00
lr_finder.py fix(v0.33.0): review-wave findings (CRITICAL + HIGH + MEDIUM + LOW) 2026-04-27 19:57:57 +05:00
lr_groups.py feat(trainer): Optimizer & PEFT Zoo (v0.41.0) 2026-05-10 15:35:35 +05:00
metrics.py feat(inference): v0.30.0 — Inference Excellence 2026-04-24 23:39:04 +05:00
mii.py fix(v0.33.0): review-wave findings (CRITICAL + HIGH + MEDIUM + LOW) 2026-04-27 19:57:57 +05:00
mixed_precision.py feat(training): v0.32.0 — Training Stability & Auto-Tuning 2026-04-26 15:24:31 +05:00
mlx.py feat(v0.25.0): Beyond the Wrapper — 8 major features 2026-04-13 12:58:11 +05:00
moe.py feat: v0.14.0 — pre-training + MoE support 2026-03-25 22:26:01 +05:00
multipack.py feat(multipack): v0.37.0 — Multipack (5 Parts A/B/C/D/E) 2026-04-30 13:48:16 +05:00
multipack_sampler.py feat(catalog): v0.51.0 — Model Catalog Expansion + Alternative Hubs 2026-05-12 12:05:04 +05:00
multipack_trainer.py feat(trainer): multipack live HF Trainer DataLoader override (v0.40.4 Part B) 2026-05-09 13:20:47 +05:00
neat_packing.py feat(multipack): v0.37.0 — Multipack (5 Parts A/B/C/D/E) 2026-04-30 13:48:16 +05:00
ngram_spec.py feat(v0.45.0): Plugin System & Ecosystem Wins — 5 Parts, +169 tests 2026-05-10 21:21:04 +05:00
nlg_metrics.py feat(eval): Tracker & Eval Pro — 18 features (v0.43.0) 2026-05-10 18:04:40 +05:00
ollama.py feat: add Ollama integration — deploy GGUF models in one command (v0.18.0) 2026-04-01 13:47:40 +05:00
onboarding.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
optimizer_zoo.py feat(trainer): Optimizer & PEFT Zoo (v0.41.0) 2026-05-10 15:35:35 +05:00
paths.py feat(v0.26.0): Parts B-E — Eval Gate, Trace-to-Pref, Quant-Check, Soup Cans 2026-04-20 21:37:05 +05:00
peft_builder.py feat(lora): v0.39.0 — LoRA Quality (PiSSA + ReLoRA + per-pattern rank + surgical patches + templates registry) 2026-05-01 16:18:07 +05:00
peft_patches.py feat(lora): v0.39.0 — LoRA Quality (PiSSA + ReLoRA + per-pattern rank + surgical patches + templates registry) 2026-05-01 16:18:07 +05:00
peft_wiring.py feat(trainer): ReLoRA + surgical PEFT non-SFT (v0.40.6 #67) 2026-05-09 15:48:17 +05:00
pipeline.py feat(v0.27.0): Multi-GPU Mastery — topology, ZeRO++, FSDP2+compile, MII, PP, recipes 2026-04-21 14:54:34 +05:00
preference_combine.py fix(v0.40.1): QA Hardening — UTF-8 bootstrap, schema strictness, multi-objective preference runtime, CLI UX 2026-05-08 12:03:16 +05:00
prm.py feat(grpo): v0.50.0 — GRPO Plus (unsloth + axolotl RL parity) 2026-05-12 00:30:43 +05:00
profiler.py fix: v0.24.1 — Windows Unicode fix, AWQ/GPTQ output path traversal 2026-04-03 23:41:44 +05:00
profiling.py feat(observability): v0.34.0 — Observability & Dev UX (7 Parts) 2026-04-28 13:14:49 +05:00
profiling_v0_43.py feat(eval): Tracker & Eval Pro — 18 features (v0.43.0) 2026-05-10 18:04:40 +05:00
qat.py Add Quantization-Aware Training support (Phase 7) — v0.6.0 2026-03-23 20:35:35 +05:00
qr_url.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
quality.py fix: rename APIs to match test plan, fix RoPE factor detection 2026-03-26 15:14:24 +05:00
quant_menu.py feat(quant): v0.38.0 — Quant Menu (8 Parts: A-H) 2026-05-01 13:31:49 +05:00
reasoning_parser.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
recipe_dag.py feat(v0.45.0): Plugin System & Ecosystem Wins — 5 Parts, +169 tests 2026-05-10 21:21:04 +05:00
registry.py feat: v0.24.0 — Dataset Hub, Freeze Training, Loss Watchdog, Dataset Registry 2026-04-03 16:35:23 +05:00
relora.py feat(lora): v0.39.0 — LoRA Quality (PiSSA + ReLoRA + per-pattern rank + surgical patches + templates registry) 2026-05-01 16:18:07 +05:00
replay.py feat(observability): v0.34.0 — Observability & Dev UX (7 Parts) 2026-04-28 13:14:49 +05:00
ring_attention.py fix: rename APIs to match test plan, fix RoPE factor detection 2026-03-26 15:14:24 +05:00
run_cost.py feat(observability): v0.34.0 — Observability & Dev UX (7 Parts) 2026-04-28 13:14:49 +05:00
server_tools.py feat(v0.45.0): Plugin System & Ecosystem Wins — 5 Parts, +169 tests 2026-05-10 21:21:04 +05:00
sglang.py fix: rename APIs to match test plan, fix RoPE factor detection 2026-03-26 15:14:24 +05:00
shortcuts.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
spec_pairing.py feat(inference): v0.30.0 — Inference Excellence 2026-04-24 23:39:04 +05:00
spike_recovery.py feat(training): v0.32.0 — Training Stability & Auto-Tuning 2026-04-26 15:24:31 +05:00
sse_train_stream.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
structured_output.py feat(serve): structured-output + auto-quant live (v0.33.0 Part D) 2026-04-27 18:43:07 +05:00
sweep_config.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
tail_latency.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
tool_outputs.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
topology.py feat(v0.27.0): Multi-GPU Mastery — topology, ZeRO++, FSDP2+compile, MII, PP, recipes 2026-04-21 14:54:34 +05:00
tracing.py feat(inference): v0.30.0 — Inference Excellence 2026-04-24 23:39:04 +05:00
trackers.py feat(eval): Tracker & Eval Pro — 18 features (v0.43.0) 2026-05-10 18:04:40 +05:00
trainer_plugins.py feat(v0.45.0): Plugin System & Ecosystem Wins — 5 Parts, +169 tests 2026-05-10 21:21:04 +05:00
trust_remote.py feat(correctness): v0.36.0 — Correctness First (4 Parts: A/B/C/D) 2026-04-30 11:52:51 +05:00
ui_env.py feat(v0.44.0): Live Dashboard & UX - 21 features, +192 tests 2026-05-10 19:20:18 +05:00
unsloth.py Add Unsloth backend for 2-5x faster training (Phase 5) — v0.4.3 2026-03-23 16:55:44 +05:00
v028_features.py feat(preference): v0.40.0 — Preference Variety (4 Parts: BCO + dispatcher + DPO variants + multi-objective) 2026-05-01 22:26:30 +05:00
vllm.py feat(trainers): v0.35.0 — Trainer Coverage (closes #60, #61, #45) 2026-04-28 15:01:42 +05:00
vscode_setup.py feat(eval): Tracker & Eval Pro — 18 features (v0.43.0) 2026-05-10 18:04:40 +05:00
warmup.py feat(training): v0.32.0 — Training Stability & Auto-Tuning 2026-04-26 15:24:31 +05:00
why.py feat(observability): v0.34.0 — Observability & Dev UX (7 Parts) 2026-04-28 13:14:49 +05:00