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Alpamys 8f59b9b9d7 docs(v0.71.31): judge-in-the-loop suite — version bump, CHANGELOG, docs, recipe, counts 
Bump 0.71.30 -> 0.71.31; +1 recipe online-dpo-smollm2-135m (137->138); CHANGELOG
[0.71.31]; README What's New; docs (training/data/evaluation/commands/serving);
recipe-count test asserts 137->138.
 		2026-07-06 13:51:23 +05:00
..
README.md docs: add soup shrink to CONTRIBUTING utils list + docs index (v0.71.29 follow-up) 2026-07-05 13:38:16 +05:00
adapters-and-governance.md feat(edit): GPT-2 Conv1D edits, covariance ROME, atomic governor, Mixtral LongLoRA (v0.71.16) 2026-06-07 16:11:56 +05:00
backends-and-ops.md feat(precision,rollout): live fp8/nvfp4 + vLLM sleep + openenv rollout + apple-adapter + delinearize-llama4 (v0.71.21) 2026-06-10 16:29:52 +05:00
commands.md docs(v0.71.31): judge-in-the-loop suite — version bump, CHANGELOG, docs, recipe, counts 2026-07-06 13:51:23 +05:00
data.md docs(v0.71.31): judge-in-the-loop suite — version bump, CHANGELOG, docs, recipe, counts 2026-07-06 13:51:23 +05:00
evaluation.md docs(v0.71.31): judge-in-the-loop suite — version bump, CHANGELOG, docs, recipe, counts 2026-07-06 13:51:23 +05:00
models.md feat(recipes): 2026 model-family expansion — 17 SFT recipes, catalog 116→133 (v0.71.24) 2026-06-21 13:00:47 +05:00
peft-and-efficiency.md docs(shrink): v0.71.29 release docs (version bump, CHANGELOG, README, docs, CONTRIBUTING) 2026-07-05 11:50:43 +05:00
performance-and-quantization.md feat(precision,rollout): live fp8/nvfp4 + vLLM sleep + openenv rollout + apple-adapter + delinearize-llama4 (v0.71.21) 2026-06-10 16:29:52 +05:00
serving-and-export.md docs(v0.71.31): judge-in-the-loop suite — version bump, CHANGELOG, docs, recipe, counts 2026-07-06 13:51:23 +05:00
training.md docs(v0.71.31): judge-in-the-loop suite — version bump, CHANGELOG, docs, recipe, counts 2026-07-06 13:51:23 +05:00

README.md

Soup Documentation

← Back to the main README

The main README is the 5-minute front door. This directory holds the full feature reference — every soup capability, grouped by area.

Guide Covers
Training tasks & methods SFT, DPO/GRPO/PPO/KTO/ORPO/SimPO/IPO/BCO, tool-calling, PRM, pre-training, distillation, classification, vision/audio/TTS, unlearning, RAFT/RA-DIT, loop-hardening detectors
PEFT, long context & efficiency DoRA, LoRA+, rsLoRA, VeRA, OLoRA, NEFTune, PiSSA, ReLoRA, optimizer & PEFT zoo, LLaMA Pro, GaLore, YaRN/LongLoRA, packing, curriculum, auto-tuning, depth pruning + distill-heal (soup shrink)
Performance & quantization QAT, FP8, Quant Menu (I + II), KV-cache, NVFP4, save formats, Cut Cross-Entropy, gradient checkpointing, kernels, activation offloading, multi-GPU / DeepSpeed / FSDP
Data engineering Formats, the Axolotl/LF-parity pipeline, data tools, synthetic generation & forge, quality scorecards, trace tooling, remote datasets, mixing, recipe DAGs
Evaluation & probes Eval design/gate, eval-gated training, benchmarks, NLG metrics, calibration, Elo arena, diagnose, soup ship verdict, post-train X-ray probes, A/B, drift, tunability, soup advise
Serving & export OpenAI-compatible server, batch inference, benchmarking, merge/export, Anthropic Messages endpoint, speculative decoding, deploy autopilot, Web UI, Agent Forge
Adapters, registry & governance Adapter lifecycle/management, model registry, Soup Cans, the data flywheel (soup loop), knowledge editing, steering, supply-chain controls
Backends, platform & ops MLX/Unsloth backends, Modal cloud GPU training, alternative hubs, HF Hub integration, autopilot, experiment tracking, plan/apply, env lockfiles, hardware-fit, completions, plugins, utility commands
Command reference The full soup command list
Supported models & extras Recommended model families, the VRAM size guide, the pip extras matrix

Per-release notes live on the GitHub Releases page; see also the repo-root CHANGELOG.md.