Instructions to use lfhe/FLock-Arena-Task-9-Argus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lfhe/FLock-Arena-Task-9-Argus with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "lfhe/FLock-Arena-Task-9-Argus") - Notebooks
- Google Colab
- Kaggle
update
Browse files- adapter_config.json +5 -5
- adapter_model.safetensors +2 -2
adapter_config.json
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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":
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"lora_bias": false,
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"lora_dropout": 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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"r":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_up_proj",
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"down_proj",
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"
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"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": 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": 40,
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"lora_bias": false,
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"lora_dropout": 0.35,
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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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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_up_proj",
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"down_proj",
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"qkv_proj",
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"o_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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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:d3795d66c9273630a43f5fcb995755347e29b3ea6746485f0108dc7b701504fe
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size 50365768
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