Text Generation
PEFT
Safetensors
zerolang
reinforcement-learning
verifiers
code-editing
tool-use
graph-editing
laguna-xs2
lora
fine-tune
Instructions to use poolside-laguna-hackathon/zerolang-editing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use poolside-laguna-hackathon/zerolang-editing with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Upload Laguna XS.2 zerolang editing step 75 LoRA
Browse files
loras/laguna-xs2-zerolang-editing-step75-hdznmf/README.md
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# Laguna XS.2 Zerolang Editing LoRA
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Best checkpoint LoRA from Prime hosted training run `hdznmfje3xv0clwhu9sx4b0n`.
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- Base model: `poolside/Laguna-XS.2`
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- Environment: `pandelis/zerolang-editing@0.1.11`
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- Prime checkpoint: `qyxg7ya6x53ntmfjerp11gah`
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- Training step: 75
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- Held-out eval Avg@1: 0.6604
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- Learning rate: `2e-5`
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- Batch size: 64
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- Rollouts per example: 8
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- Sampling: `max_tokens=4096`, `temperature=0.3`, `enable_thinking=true`
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This folder contains the PEFT LoRA adapter files extracted from the checkpoint:
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- `adapter_config.json`
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- `adapter_model.safetensors`
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loras/laguna-xs2-zerolang-editing-step75-hdznmf/adapter_config.json
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{
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"peft_type": "LORA",
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"task_type": "CAUSAL_LM",
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"base_model_name_or_path": "poolside/Laguna-XS.2",
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"r": 16,
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"lora_alpha": 32.0,
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"lora_dropout": 0.0,
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"bias": "none",
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"target_modules": [
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"down_proj",
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"experts",
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"gate_proj",
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"k_proj",
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"o_proj",
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"q_proj",
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"up_proj",
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"v_proj"
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],
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"modules_to_save": null
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}
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loras/laguna-xs2-zerolang-editing-step75-hdznmf/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b1d5fd8b5fcbd7ebf37b9fde9aae86b39db1295451ffea52dd266172e27ff52b
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size 4982588672
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loras/laguna-xs2-zerolang-editing-step75-hdznmf/prime_metadata.json
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{
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"artifact_type": "peft_lora_adapter",
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"base_model": "poolside/Laguna-XS.2",
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"environment": {
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"id": "pandelis/zerolang-editing",
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"version": "0.1.11"
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},
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"prime_run_id": "hdznmfje3xv0clwhu9sx4b0n",
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"prime_checkpoint_id": "qyxg7ya6x53ntmfjerp11gah",
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"training_step": 75,
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"eval_avg_at_1": 0.6604,
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"training_config": {
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"learning_rate": 2e-5,
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"batch_size": 64,
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"rollouts_per_example": 8,
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"max_steps": 80,
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"sampling": {
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"max_tokens": 4096,
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"temperature": 0.3,
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"enable_thinking": true
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}
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},
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"source_storage_url": "r2://pi-rft-prod/runs/hdznmfje3xv0clwhu9sx4b0n/checkpoints/step_75/"
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}
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