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clean repo: glm45_air_20m_legacy|control (1/51)

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glm45_air_20m_legacy/control/aft/agreement/README.md ADDED
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+ ---
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+ base_model: zai-org/GLM-4.5-Air-Base
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+ tags:
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+ - scimt
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+ - midtraining
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+ ---
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+
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+ # arcadia-impact/scimt-glm-minimal-v1
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+
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+ Checkpoint produced by the [`scimt`](https://github.com/ArcadiaImpact/science-of-midtraining)
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+ midtraining pipeline.
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+
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+ Local checkpoint dirs are impermanent; **this upload is the durable artifact**.
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+ The manifest below is the full recipe — retrain from it if you need the
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+ trainable state, re-evaluate with `await scimt.evaluate(spec, checkpoint_dir)`.
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+
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+ ## Train manifest
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+
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+ ```json
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+ {
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+ "sampler_path": "(bare pointer)"
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+ }
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+ ```
glm45_air_20m_legacy/control/aft/agreement/adapter_config.json ADDED
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+ "base_model_name_or_path": "arcadia-impact/scimt-dispatch-clean-v1/glm45_air_20m_legacy/control/base",
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+ "bias": "none",
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+ "ensure_weight_tying": false,
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+ "inference_mode": false,
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+ "init_lora_weights": true,
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+ "layer_replication": null,
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+ "loftq_config": {},
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+ "lora_dropout": 0.0,
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 32,
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+ "rank_pattern": {
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+ },
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+ "target_modules": [
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+ "o_proj",
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+ "k_proj",
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+ "v_proj",
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+ "q_proj"
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+ ],
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+ "target_parameters": [
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+ "down_proj",
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+ "gate_up_proj"
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_qalora": false,
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+ "use_rslora": false
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+ }
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