Instructions to use HideIron/tiny-aya-global-sql-selfheal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HideIron/tiny-aya-global-sql-selfheal with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("CohereLabs/tiny-aya-global") model = PeftModel.from_pretrained(base_model, "HideIron/tiny-aya-global-sql-selfheal") - Notebooks
- Google Colab
- Kaggle
DPO LoRA (153 self-heal pairs)
Browse files- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- dpo_config.yaml +2 -2
- lexsi_provenance.json +1 -1
- training_args.bin +1 -1
- training_stats.json +11 -11
adapter_config.json
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@@ -32,13 +32,13 @@
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"up_proj",
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"v_proj",
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"down_proj",
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"k_proj",
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"q_proj",
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"o_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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"v_proj",
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"down_proj",
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"q_proj",
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+
"o_proj",
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"k_proj",
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"gate_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 120981200
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version https://git-lfs.github.com/spec/v1
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oid sha256:a528834f81fda89e10c18f016b3d2f1f76b5e9eef7009a5df79f10c6e3ef542a
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size 120981200
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dpo_config.yaml
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@@ -72,7 +72,7 @@ label_names: null
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label_smoothing: 0.0
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label_smoothing_factor: 0.0
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ld_alpha: null
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-
learning_rate:
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length_column_name: length
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liger_kernel_config: null
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load_best_model_at_end: false
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@@ -97,7 +97,7 @@ model_init_kwargs:
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dtype: bfloat16
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trust_remote_code: false
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neftune_noise_alpha: null
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num_train_epochs:
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optim: adamw_torch_fused
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optim_args: null
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optim_target_modules: null
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label_smoothing: 0.0
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label_smoothing_factor: 0.0
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ld_alpha: null
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learning_rate: 2.0e-05
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length_column_name: length
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liger_kernel_config: null
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load_best_model_at_end: false
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dtype: bfloat16
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trust_remote_code: false
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neftune_noise_alpha: null
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num_train_epochs: 5.0
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optim: adamw_torch_fused
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optim_args: null
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optim_target_modules: null
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lexsi_provenance.json
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@@ -3,7 +3,7 @@
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"library": "agenttune",
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"version": "1.1.5",
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"git_sha": null,
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"created_at": "2026-11-
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"base_model": "CohereLabs/tiny-aya-global",
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"method": "agentic.dpo",
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"inputs": [],
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"library": "agenttune",
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"version": "1.1.5",
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"git_sha": null,
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+
"created_at": "2026-11-14T00:16:37Z",
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"base_model": "CohereLabs/tiny-aya-global",
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"method": "agentic.dpo",
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"inputs": [],
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 5969
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version https://git-lfs.github.com/spec/v1
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oid sha256:c8841aa6a77ac8e31283ab3670933fecceaf7cf123791689de23fdbb83590fec
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size 5969
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training_stats.json
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@@ -5,22 +5,22 @@
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"use_rollouts": false,
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"agentic_mode": false,
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"tools": [],
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"train_size":
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"eval_size": 0,
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"final_loss": 0.
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"total_steps":
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"training_history": [],
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"metrics": {
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"train_runtime":
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"train_samples_per_second": 0.
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"train_steps_per_second": 0.032,
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"total_flos": 2.
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"train_loss": 0.
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"epoch":
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},
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"config_kwargs": {
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"model": "CohereLabs/tiny-aya-global",
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"train_dataset": "Dataset({\n features: ['prompt', 'chosen', 'rejected'],\n num_rows:
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"output_dir": "/tmp/out/adapter",
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"peft_config": {
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"r": 16,
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@@ -37,10 +37,10 @@
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"down_proj"
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]
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},
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"num_train_epochs":
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"per_device_train_batch_size": 1,
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"gradient_accumulation_steps": 16,
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-
"learning_rate":
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"beta": 0.1,
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"seed": 42,
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"bf16": true,
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"use_rollouts": false,
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"agentic_mode": false,
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"tools": [],
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+
"train_size": 153,
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"eval_size": 0,
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+
"final_loss": 0.3636344361305237,
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+
"total_steps": 50,
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"training_history": [],
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"metrics": {
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+
"train_runtime": 1543.1982,
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+
"train_samples_per_second": 0.496,
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"train_steps_per_second": 0.032,
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+
"total_flos": 2.622984019611648e+16,
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+
"train_loss": 0.3636344361305237,
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+
"epoch": 5.0
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},
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"config_kwargs": {
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"model": "CohereLabs/tiny-aya-global",
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"train_dataset": "Dataset({\n features: ['prompt', 'chosen', 'rejected'],\n num_rows: 153\n})",
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"output_dir": "/tmp/out/adapter",
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"peft_config": {
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"r": 16,
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"down_proj"
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]
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},
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+
"num_train_epochs": 5.0,
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"per_device_train_batch_size": 1,
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"gradient_accumulation_steps": 16,
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"learning_rate": 2e-05,
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"beta": 0.1,
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"seed": 42,
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"bf16": true,
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