Instructions to use sidbaines/amber-baton with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sidbaines/amber-baton with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
exp3: adapters/sacrifice-relay-exp3-individual-a3b-policy-s15-8063a0
Browse files- exp3/train_individual/adapters/sacrifice-relay-exp3-individual-a3b-policy-s15-8063a0/adapter_config.json +56 -0
- exp3/train_individual/adapters/sacrifice-relay-exp3-individual-a3b-policy-s15-8063a0/adapter_model.safetensors +3 -0
- exp3/train_individual/adapters/sacrifice-relay-exp3-individual-a3b-policy-s15-8063a0/manifest.json +9 -0
exp3/train_individual/adapters/sacrifice-relay-exp3-individual-a3b-policy-s15-8063a0/adapter_config.json
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": "Qwen/Qwen3.6-35B-A3B",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"kasa_config": null,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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"lora_dropout": 0.0,
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"lora_ga_config": null,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"monteclora_config": null,
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"peft_type": "LORA",
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"peft_version": "0.21.0",
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"qalora_group_size": 16,
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"o_proj",
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"v_proj",
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"up_proj",
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"in_proj_a",
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"in_proj_b",
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"in_proj_z",
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"gate_proj",
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"k_proj",
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"in_proj_qkv",
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"out_proj",
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"down_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_bdlora": null,
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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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"velora_config": null
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}
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exp3/train_individual/adapters/sacrifice-relay-exp3-individual-a3b-policy-s15-8063a0/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:400f5dd44b81e6fb22ab1b4bd653b9e9b05a7152ed67f5ab157858e1217e7546
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size 169425720
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exp3/train_individual/adapters/sacrifice-relay-exp3-individual-a3b-policy-s15-8063a0/manifest.json
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{
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"schema_version": 1,
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"base_model": "Qwen/Qwen3.6-35B-A3B",
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"export_key_map": {
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"base_model.model.model.layers.": "base_model.model.model.language_model.layers."
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},
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"weights": "adapter_model.safetensors",
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"config": "adapter_config.json"
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}
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