{"repo":"MakazhanAlpamys/Soup","free":true,"listed":false,"github":"https://github.com/MakazhanAlpamys/Soup","clone":"git clone https://github.com/MakazhanAlpamys/Soup.git","description":"Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.","language":"Python","stars":1956,"topics":["cli","consumer-gpu","dpo","fine-tuning","gguf","huggingface","llm","llmops","local-ai","local-llm","lora","low-vram","machine-learning","ollama","peft","python","pytorch","qlora","sft","transformers"],"license":"Apache-2.0","category":"llmops","readme_excerpt":"

\n \"Soup\"\n

\n\n

Soup

\n\n

\n Fine-tune and post-train LLMs in one command. No SSH, no config hell.\n

\n\n

\n Website ·\n Quick Start ·\n Config ·\n Docs ·\n Commands ·\n Models ·\n Discord ·\n Product Hunt\n

\n\n

\n \"PyPI\"\n \"Downloads\"\n \"Python\n \"Apache-2.0\n \"Tests\"\n \"CI\"\n \"Website\"\n \"Discord\"\n \"DOI:\n

\n\n

\n \n \n \n \"Soup\n \n \n

\n\n---\n\nSoup turns the pain of LLM fine-tuning into a simple workflow. One config, one command, done.\n\n```bash\npip install \"soup-cli[train]\" # add [train] to fine-tune; bare `soup-cli` is the light CLI\nsoup init --template chat\nsoup train\n```\n\n**Fine-tune an 8B model on a 4 GB laptop GPU.** Layer streaming keeps the frozen base out of\nVRAM and feeds it to the GPU one decoder layer at a time. Measured on an RTX 3050 Laptop 4 GB:\nLlama-3.1-8B-Instruct + NF4 at **119.6 tok/s, 3.32 GB peak** — bit-exact against a normal\nresident run, and reproduced independently on an H100 at 113.00 tok/s in the same 3.32 GB.\n(The tok/s figure was measured on v0.72.2, before the v0.73.0 correctness repair that cost\n−4.8% at 32B; it has not been re-run on a 4 GB card since.) Opt-in (`stream_layers: true`)\nand still BETA —\n[how it works](docs/performance-and-quantization.md#layer-streaming-beta-v0720-nf4-v0722-disk--wider-archs-v0723-preference-losses-v0724) ·\n[all measurements](benchmarks/) · [paper](https://doi.org/10.5281/zenodo.21771064) ·\n**[check it yourself on a free Colab T4](notebooks/proof-4gb.ipynb)** (caps the process to\n4 GB, then asserts a streamed model is bit-identical to a normal one)\n\n

\n \"soup
\n Llama-3.1-8B-Instruct + NF4, LoRA, batch 1, seq 512 on an RTX 3050 Laptop 4 GB — 3.32 GB peak, 119.6 tok/s. Full video (90s)\n

\n\n## Why Soup?\n\nTraining LLMs is still painful. Even experienced teams spend 30-50% of their time fighting\ninfrastructure instead of improving models. Soup fixes that.\n\n- **Zero SSH.** Never SSH into a broken GPU box again.\n- **One config.** A simple YAML file is all you need.\n- **Auto everything.** Batch size, GPU detection, quantization — handled.\n- **Works locally.** Train on your own GPU with QLoRA. No cloud required.\n\n## What's New\n\n**v0.73.2 — the release gate stops lying in both directions.** `soup ship` answers one\nquestion: did this model get better, or did I break it? Two of its suites were ranking by\nthe wrong thing, and one whole failure direction had no detector at all.\n\n- **A suite scored 0.225 for a model that got it right 40/40.** `mini_tool_call` was\n ranking *brace hygiene*: the model emitted one closing brace short, so the parse fell\n back to the inner object and the scorer rejected it for lacking the outer key. And\n `mini_mmlu` scored Llama-3.1-8B at **0.423 — below a 0.5B** — because the extractor did\n not know `\\boxed{C}` and the prompt never asked for a letter. Both fixed; 0.423 → 0.731.\n- **New: a benign-prompt axis.** Leg 2 flagged a *drop* in refusal rate and had no reverse,\n so a tune that refuses everything read as a monotone safety improvement. Two models with\n byte-identical scores on all seven shipped suites, one of which refuses every benign\n request, were indistinguishable to the gate. `mini_over_refusal` is its mirror; paired\n with the safety suite, neither can be gamed alone.\n- **New: `soup ship --noise-floor N`** re-runs the base model N times and refuses to call\n any delta smaller than the measured spread significant. Greedy decoding is not\n deterministic on GPU — same model, no adapter, five runs spread **0.015–0.020** against a\n 0.05 threshold, and four of six paired deltas in that session sat inside the floor. It\n **sizes** the effect; it does not calibrate a threshold, and the release says so.\n- **A caller error was indistinguishable from a regression.** A non-callable generator\n scored `0.0` on three suites and raised on the others — and in leg 2 a 0.0 reads as\n \"failed every item\", i.e. it failed in the direction that looks like a finding.\n- Also: `soup data split --stratify-semantic` (#388) and `soup mcp serve --allow-execute`\n (#391), both from outside contributors.\n\nThe measurement record for the previous release's VRAM work, published as written —\nincluding the **three readings withdrawn during it** — is\n[`benchmarks/gate-v0.73.1-measured-vram-fit.md`](benchmarks/gate-v0.73.1-measured-vram-fit.md).\n\n```yaml\n# soup.yaml — then just `soup train --config soup.yaml`\ntraining:\n stream_layers: true # base streams out of VRAM; only the adapter trains\n quantization: 4bit # NF4 — ~4x smaller store, so 8B fits a 4 GB card\n batch_size: 4 # bigger batches amortise the weight read\n stream_source: auto # RAM when it fits, NVMe disk when it does not\n seed: 1234 # new in v0.73.0\n```\n\n> Python **3.10–3.12** only. v0.73.0 adds the upper bound that was missing: on 3.13+, pip\n> used to resolve untested PyTorch wheels that crash in the native extension before Soup\n> runs at all.\n\n
\nPrevious release — v0.72.4, align on a laptop (DPO / ORPO / SimPO / KTO over layer streaming)\n\nLayer streaming used to support supervised fine-tuning only; v0.72.4 opened it to the\npreference losses. The risk was one thing: DPO needs a reference model, and a second copy\nwould double memory and defeat the point. Soup uses *the same streamed base with its\nadapters switched off* — measured at **0.914×** the SFT peak, where forcing a real second\ninstance cost **+730 MB, exactly one copy of the weights**. Bit-exact against a normal\nnon-streamed run for all four. Honest cost: free in *memory*, not in *time* — DPO reads the\nlayer stack **1.52×** as often per step. `grpo` / `ppo` stay excluded on purpose.\n\n> **Trained with `stream_layers: true` on v0.72.0?** That adapter is inert — its tensors were\n> saved under keys with an extra `.inner.` segment, so every loader returned the untuned base.\n> Fixed in v0.72.1; re-run or re-save. Check with:\n> `python -c \"from safetensors.torch import load_file; print([k for k in load_file('adapter_model.safetensors') if '.inner.' in k][:3])\"`\n\n
\n\n
\nPrevious release — v0.71.40, soup reward synth (generate a reward verifier from your data)\n\nPoint `soup reward synth` at a JSONL of reference outputs and it infers a deterministic verifier,\nwrites a readable / committable `.py` reward function, and — the part nobody else does — *refuses* to\nemit one that can't tell your references from bad answers (four families: `numeric` / `json_schema` /\n`regex` / `tool_call`; a mandatory calibration report is the moat). Reward ensembles\n(`reward_fn: \"accuracy,format\"`) also train now. (#311)\n\n```bash\nsoup reward synth references.jsonl -o reward.py --output-report calib.json\n```\n\n
\n\n
\nPrevious release — v0.71.39, CI for weights not prompts (emit + provenance-bind the ship verdict)\n\n`soup ship`'s verdict became emittable, committable, and provenance-bound: `--emit-evidence` makes a\nrun replay into an identical verdict, `eval.ship` in `soup.yaml` + `--config` makes the gate policy\nreviewable, and `--config` binds evidence to the exact recipe that produced it (stale evidence → exit 3).\n`soup ship --push owner/repo#N` posts the SHIP / DON'T-SHIP card on the PR.\n\n
\n\n
\nPrevious release — v0.71.38, The gate grows teeth (real leg-2 regression gate)\n\n`soup ship`'s regression leg became real: a fixed, extraction-ba","default_branch":"main","files":969,"tree":[".dockerignore",".github/FUNDING.yml",".github/ISSUE_TEMPLATE/bug_report.yml",".github/ISSUE_TEMPLATE/config.yml",".github/ISSUE_TEMPLATE/feature_request.yml",".github/pull_request_template.md",".github/workflows/ci.yml",".github/workflows/docker.yml",".github/workflows/publish.yml",".github/workflows/recipe-validation.yml",".gitignore",".mailmap",".pre-commit-config.yaml","AGENTS.md","CHANGELOG.md","CODEOWNERS","CODE_OF_CONDUCT.md","CONTRIBUTING.md","CONTRIBUTORS.md","Dockerfile","LICENSE","NOTICE","README.md","SECURITY.md","benchmarks/README.md","benchmarks/gate-h100-validation.md","benchmarks/gate-v0.72.0-layer-streaming.md","benchmarks/gate-v0.72.2-nf4.md","benchmarks/gate-v0.72.3-breadth.md","benchmarks/gate-v0.72.4-preference-losses.md","benchmarks/gate-v0.73.1-measured-vram-fit.md","benchmarks/gate-v0.73.2-leg2-scoring.md","benchmarks/harness/issue331_qlora_scope.py","benchmarks/probe-v0.73.0-what-bounds-streaming.md","benchmarks/run-t4-colab-free-tier.md","docker-compose.yml","docs/README.md","docs/adapters-and-governance.md","docs/assets/layer-streaming.gif","docs/backends-and-ops.md","docs/commands.md","docs/compliance.md","docs/data.md","docs/evaluation.md","docs/models.md","docs/peft-and-efficiency.md","docs/performance-and-quantization.md","docs/serving-and-export.md","docs/training.md","examples/README.md","examples/configs/dpo_chat.yaml","examples/configs/dpo_example.yaml","examples/configs/grpo_reasoning.yaml","examples/configs/rlhf_step1_sft.yaml","examples/configs/rlhf_step2_reward.yaml","examples/configs/rlhf_step3_ppo.yaml","examples/configs/sft_basic.yaml","examples/configs/vision_llama.yaml","examples/data/README.md","examples/data/alpaca_tiny.jsonl","examples/data/chat_preferences.jsonl","examples/data/dpo_sample.jsonl","examples/data/reasoning_math.jsonl","examples/reward_hacking/rewards.py","examples/synthetic_workflow.md","examples/synthetic_workflow.yaml","notebooks/proof-4gb.ipynb","pyproject.toml","soup.png","soup_logo_svg.svg","src/soup_cli/__init__.py","src/soup_cli/__main__.py","src/soup_cli/autopilot/__init__.py","src/soup_cli/autopilot/analyzer.py","src/soup_cli/autopilot/decisions.py","src/soup_cli/autopilot/generate_config.py","src/soup_cli/cans/__init__.py","src/soup_cli/cans/pack.py","src/soup_cli/cans/publish.py","src/soup_cli/cans/run.py","src/soup_cli/cans/schema.py","src/soup_cli/cans/unpack.py","src/soup_cli/cans/verify.py","src/soup_cli/cli.py","src/soup_cli/cloud/__init__.py","src/soup_cli/cloud/modal.py","src/soup_cli/commands/__init__.py","src/soup_cli/commands/_eval_v0550.py","src/soup_cli/commands/_eval_v0610.py","src/soup_cli/commands/_eval_v0650.py","src/soup_cli/commands/_eval_v07110.py","src/soup_cli/commands/_webhook_cli.py","src/soup_cli/commands/ab.py","src/soup_cli/commands/active_sample.py","src/soup_cli/commands/adapters.py","src/soup_cli/commands/advise.py","src/soup_cli/commands/agent.py","src/soup_cli/commands/airgap.py","src/soup_cli/commands/apple_adapter.py","src/soup_cli/commands/attest.py","src/soup_cli/commands/audit_log.py","src/soup_cli/commands/autopilot.py","src/soup_cli/commands/bench.py","src/soup_cli/commands/bom.py","src/soup_cli/commands/build.py","src/soup_cli/commands/can.py","src/soup_cli/commands/card.py","src/soup_cli/commands/chat.py","src/soup_cli/commands/ci.py","src/soup_cli/commands/compile_cmd.py","src/soup_cli/commands/compile_tools.py","src/soup_cli/commands/completions.py","src/soup_cli/commands/cost.py","src/soup_cli/commands/data.py","src/soup_cli/commands/data_canary.py","src/soup_cli/commands/data_doctor.py","src/soup_cli/commands/data_forge.py","src/soup_cli/commands/data_mix.py","src/soup_cli/commands/data_score.py","src/soup_cli/commands/data_topics.py","src/soup_cli/commands/delinearize_llama4.py","src/soup_cli/commands/deploy.py","src/soup_cli/commands/diagnose.py","src/soup_cli/commands/diff.py","src/soup_cli/commands/distill_prompt.py","src/soup_cli/commands/doctor.py","src/soup_cli/commands/draft.py","src/soup_cli/commands/drift_alarm.py","src/soup_cli/commands/edit.py","src/soup_cli/commands/env.py","src/soup_cli/commands/eval.py","src/soup_cli/commands/expect.py","src/soup_cli/commands/export.py","src/soup_cli/commands/fetch.py","src/soup_cli/commands/generate.py","src/soup_cli/commands/history.py","src/soup_cli/commands/infer.py","src/soup_cli/commands/ingest.py","src/soup_cli/commands/init.py","src/soup_cli/commands/iterative_dpo.py","src/soup_cli/commands/license_advisor.py","src/soup_cli/commands/llama.py","src/soup_cli/commands/local_rl.py","src/soup_cli/commands/lock.py","src/soup_cli/commands/loop.py","src/soup_cli/commands/mcp.py","src/soup_cli/commands/merge.py","src/soup_cli/commands/merge_sharded_fsdp_weights.py","src/soup_cli/commands/migrate.py","src/soup_cli/commands/monitor.py","src/soup_cli/commands/plan.py","src/soup_cli/commands/plugins.py","src/soup_cli/commands/probe.py","src/soup_cli/commands/profile.py","src/soup_cli/commands/prune_prompt.py","src/soup_cli/commands/push.py","src/soup_cli/commands/quantize.py","src/soup_cli/commands/quickstart.py","src/soup_cli/commands/ra_dit.py","src/soup_cli/commands/recipes.py","src/soup_cli/commands/registry.py","src/soup_cli/commands/reward.py","src/soup_cli/commands/runs.py","src/soup_cli/commands/serve.py","src/soup_cli/commands/ship.py","src/soup_cli/commands/shrink.py","src/soup_cli/commands/spectrum.py","src/soup_cli/commands/steer.py","src/soup_cli/commands/sweep.py","src/soup_cli/commands/tokenizer.py","src/soup_cli/commands/train.py","src/soup_cli/commands/tui.py","src/soup_cli/commands/tunability.py","src/soup_cli/commands/ui.py","src/soup_cli/commands/why.py","src/soup_cli/config/__init__.py","src/soup_cli/config/loader.py","src/soup_cli/config/schema.py","src/soup_cli/data/__init__.py","src/soup_cli/data/_fixtures/alpaca_tiny.jsonl","src/soup_cli/data/_fixtures/behavior/elephant.jsonl","src/soup_cli/data/_fixtures/behavior/harmbench.jsonl","src/soup_cli/data/_fixtures/behavior/jailbreakbench.jsonl","src/soup_cli/data/_fixtures/behavior/syceval.jsonl","src/soup_cli/data/_fixtures/behavior/xstest.jsonl","src/soup_cli/data/_fixtures/chat_preferences.jsonl","src/soup_cli/data/_fixtures/dpo_sample.jsonl","src/soup_cli/data/_fixtures/gate/format_json.jsonl","src/soup_cli/data/_fixtures/gate/over_refusal.jsonl","src/soup_cli/data/_fixtures/gate/safety.jsonl","src/soup_cli/data/_fixtures/gate/tool_call.jsonl","src/soup_cli/data/_fixtures/reasoning_math.jsonl","src/soup_cli/data/_fixtures/unlearning/muse_demo.jsonl","src/soup_cli/data/_fixtures/unlearning/tofu_demo.jsonl","src/soup_cli/data/_fixtures/unlearning/wmdp_demo.jsonl","src/soup_cli/data/augment.py","src/soup_cli/data/chat_templates.py","src/soup_cli/data/collators.py","src/soup_cli/data/formats.py","src/soup_cli/data/loader.py","src/soup_cli/data/loss_mask.py","src/soup_cli/data/providers/__init__.py","src/soup_cli/data/providers/_utils.py","src/soup_cli/data/providers/anthropic.py","src/soup_cli/data/providers/ollama.py","src/soup_cli/data/providers/vllm.py","src/soup_cli/data/sft_format.py","src/soup_cli/data/templates/__init__.py","src/soup_cli/data/templates/code.py","src/soup_cli/data/templates/conversation.py","src/soup_cli/data/templates/preference.py","src/soup_cli/data/templates/qa.py","src/soup_cli/data/templates/reasoning.py","src/soup_cli/data/templates/tool_calling.py","src/soup_cli/data/templates/verifiable.py","src/soup_cli/data/traces/__init__.py","src/soup_cli/data/traces/pair_builder.py","src/soup_cli/data/traces/parsers.py","src/soup_cli/data/traces/quality.py","src/soup_cli/data/validator.py","src/soup_cli/envs/__init__.py","src/soup_cli/envs/_common.py","src/soup_cli/envs/calculator.py","src/soup_cli/envs/guess_number.py","src/soup_cli/envs/retrieval_qa.py","src/soup_cli/eval/__init__.py","src/soup_cli/eval/arena.py","src/soup_cli/eval/benchmarks_v0_43.py","src/soup_cli/eval/calibrate.py","src/soup_cli/eval/checkpoint_intelligence.py","src/soup_cli/eval/custom.py","src/soup_cli/eval/forgetting.py","src/soup_cli/eval/gate.py","src/soup_cli/eval/gate_suites.py","src/soup_cli/eval/human.py","src/soup_cli/eval/judge.py","src/soup_cli/eval/leaderboard.py","src/soup_cli/eval/quant_check.py","src/soup_cli/experiment/__init__.py","src/soup_cli/experiment/tracker.py","src/soup_cli/mcp_server/__init__.py","src/soup_cli/mcp_server/execution.py","src/soup_cli/mcp_server/registry.py","src/soup_cli/mcp_server/server.py","src/soup_cli/migrate/__init__.py","src/soup_cli/migrate/axolotl.py","src/soup_cli/migrate/common.py","src/soup_cli/migrate/llamafactory.py","src/soup_cli/migrate/unsloth.py","src/soup_cli/monitoring/__init__.py","src/soup_cli/monitoring/callback.py","src/soup_cli/monitoring/curriculum_callback.py","src/soup_cli/monitoring/display.py","src/soup_cli/monitoring/grpo_stability_callback.py","src/soup_cli/monitoring/hf_push.py","src/soup_cli/monitoring/plugin_callback.py","src/soup_cli/monitoring/trace_logger.py","src/soup_cli/plugins/__init__.py","src/soup_cli/py.typed","src/soup_cli/recipes/__init__.py","src/soup_cli/recipes/catalog.py","src/soup_cli/registry/__init__.py","src/soup_cli/registry/attach.py","src/soup_cli/registry/diff.py","src/soup_cli/registry/hashing.py","src/soup_cli/registry/store.py","src/soup_cli/templates/__init__.py","src/soup_cli/templates/audio.yaml","src/soup_cli/templates/bco.yaml","src/soup_cli/templates/chat.yaml","src/soup_cli/templates/code.yaml","src/soup_cli/templates/embedding.yaml","src/soup_cli/templates/eu-ai-act.yaml","src/soup_cli/templates/fetch_examples/llama-3.1-8b-lora.yaml","src/soup_cli/templates/fetch_examples/qwen2.5-7b-dpo.yaml","src/soup_cli/templates/fetch_examples/zero3-cpu-offload.json","src/soup_cli/templates/hipaa.yaml","src/soup_cli/templates/ipo.yaml","src/soup_cli/templates/kto.yaml","src/soup_cli/templates/longcontext.yaml","src/soup_cli/templates/manifest.json","src/soup_cli/templates/medical.yaml","src/soup_cli/templates/moe.yaml","src/soup_cli/templates/orpo.yaml","src/soup_cli/templates/pretrain.yaml","src/soup_cli/templates/reasoning.yaml","src/soup_cli/templates/rlhf.yaml","src/soup_cli/templates/simpo.yaml","src/soup_cli/templates/soc2.yaml","src/soup_cli/templates/sr-11-7.yaml","src/soup_cli/templates/tool-calling.yaml","src/soup_cli/templates/vision.yaml","src/soup_cli/trainer/__init__.py","src/soup_cli/trainer/_trl_compat.py","src/soup_cli/trainer/asr.py","src/soup_cli/trainer/bco.py","src/soup_cli/trainer/bitnet.py","src/soup_cli/trainer/classifier.py","src/soup_cli/trainer/distill.py","src/soup_cli/trainer/dpo.py","src/soup_cli/trainer/embedding.py","src/soup_cli/trainer/grpo.py","src/soup_cli/trainer/ipo.py","src/soup_cli/trainer/kto.py","src/soup_cli/trainer/mlx_dpo.py","src/soup_cli/trainer/mlx_grpo.py","src/soup_cli/trainer/mlx_routing.py","src/soup_cli/trainer/mlx_sft.py","src/soup_cli/trainer/mole_routing.py","src/soup_cli/trainer/online_dpo.py","src/soup_cli/trainer/orpo.py","src/soup_cli/trainer/ppo.py","src/soup_cli/trainer/preference.py","src/soup_cli/trainer/pretrain.py","src/soup_cli/trainer/prm.py","src/soup_cli/trainer/raft.py","src/soup_cli/trainer/reward_model.py","src/soup_cli/trainer/rewards.py","src/soup_cli/trainer/sft.py","src/soup_cli/trainer/simpo.py","src/soup_cli/trainer/stream_setup.py","src/soup_cli/trainer/tts.py","src/soup_cli/trainer/unlearn.py","src/soup_cli/tui_app.py","src/soup_cli/ui/__init__.py","src/soup_cli/ui/app.py","src/soup_cli/ui/plugins/__init__.py","src/soup_cli/ui/static/app.js","src/soup_cli/ui/static/index.html","src/soup_cli/ui/static/logo.png","src/soup_cli/ui/static/logo.svg","src/soup_cli/ui/static/style.css","src/soup_cli/utils/__init__.py","src/soup_cli/utils/_eval_text.py","src/soup_cli/utils/ab_test.py","src/soup_cli/utils/activation_offload.py","src/soup_cli/utils/active_sampler.py","src/soup_cli/utils/adapter_arithmetic.py","src/soup_cli/utils/adapter_bisect.py","src/soup_cli/utils/adapter_branch.py","src/soup_cli/utils/adapter_diff.py","src/soup_cli/utils/adapter_fuse.py","src/soup_cli/utils/adapter_merge.py","src/soup_cli/utils/adapter_pr.py","src/soup_cli/utils/adapter_scan.py","src/soup_cli/utils/adapter_sign.py","src/soup_cli/utils/advanced_precision.py","src/soup_cli/utils/advise.py","src/soup_cli/utils/advise_history.py","src/soup_cli/utils/agent_forge.py","src/soup_cli/utils/agent_rollout.py","src/soup_cli/utils/agent_sandbox.py","src/soup_cli/utils/airgap_bundle.py","src/soup_cli/utils/annex_xi.py","src/soup_cli/utils/anthropic_messages.py","src/soup_cli/utils/apple_adapter.py","src/soup_cli/utils/asr_metrics.py","src/soup_cli/utils/attest.py","src/soup_cli/utils/audit_log.py","src/soup_cli/utils/auto_quant.py","src/soup_cli/utils/backend_detect.py","src/soup_cli/utils/batch_probe.py","src/soup_cli/utils/behavior_battery.py","src/soup_cli/utils/best_of_n.py","src/soup_cli/utils/bitnet.py","src/soup_cli/utils/blame.py","src/soup_cli/utils/block_expansion.py","src/soup_cli/utils/bom.py","src/soup_cli/utils/brain_rot.py","src/soup_cli/utils/brain_rot_lang.py","src/soup_cli/utils/build_dag.py","src/soup_cli/utils/canary.py","src/soup_cli/utils/canary_discovery.py","src/soup_cli/utils/canary_router.py","src/soup_cli/utils/capability_suite.py","src/soup_cli/utils/checklist_dsl.py","src/soup_cli/utils/checkpoint_trigger.py","src/soup_cli/utils/ci_workflow.py","src/soup_cli/utils/citation_faithful.py","src/soup_cli/utils/classifier.py","src/soup_cli/utils/cmaes_merge.py","src/soup_cli/utils/compile_tools.py","src/soup_cli/utils/completions.py","src/soup_cli/utils/constants.py","src/soup_cli/utils/convergence.py","src/soup_cli/utils/crash.py","src/soup_cli/utils/cross_doc_attn.py","src/soup_cli/utils/curriculum.py","src/soup_cli/utils/curriculum_dynamic.py","src/soup_cli/utils/cut_ce.py","src/soup_cli/utils/data_doctor.py","src/soup_cli/utils/data_forge.py","src/soup_cli/utils/data_lint.py","src/soup_cli/utils/data_mix.py","src/soup_cli/utils/data_pipeline.py","src/soup_cli/utils/data_score.py","src/soup_cli/utils/deepspeed.py","src/soup_cli/utils/delinearize_llama4.py","src/soup_cli/utils/demo_bundles.py","src/soup_cli/utils/deploy_autopilot.py"],"storefront":"/r/MakazhanAlpamys","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/MakazhanAlpamys/Soup/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}