Instructions to use latentMO/eval-aware-opsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use latentMO/eval-aware-opsd with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Add opsd/ckpt_512
Browse files
opsd/ckpt_512/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "/root/models/sdf_merged",
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"bias": "none",
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"corda_config": null,
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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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"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": 64,
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"lora_bias": false,
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"lora_dropout": 0.0,
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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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"peft_type": "LORA",
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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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"o_proj",
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"up_proj",
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"k_proj",
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"v_proj",
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"down_proj",
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"gate_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": 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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}
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opsd/ckpt_512/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:90127c804e475feb58a33136853821b0c478423cbc091f29f8b854079a1c6371
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size 1203621016
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opsd/ckpt_512/trainer_state.json
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{
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"round": 4,
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"rollouts_done": 512,
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"cursor": 512,
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"global_step": 32,
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"lora_id": 4,
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"last_ckpt": 0,
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"last_eval": 0
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}
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