PEFT
Safetensors
Ancient Hebrew
Ancient Greek (to 1453)
Latin
lora
geometric-ai
biblical-hebrew
koine-greek
latin-vulgate
e8-lattice
hallucination-reduction
sovereign-engine
Instructions to use JLeeV/Titulus_E8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JLeeV/Titulus_E8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "JLeeV/Titulus_E8") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- README.md +12 -12
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
README.md
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---
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language:
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library_name: peft
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base_model: Qwen/Qwen2.5-0.5B-Instruct
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tags:
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license: other
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license_name: sectl-1.0
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license_link: https://github.com/JLeeV/sovereign-engine/blob/main/LICENSE
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---
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language:
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- hbo
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- grc
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- la
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library_name: peft
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base_model: Qwen/Qwen2.5-0.5B-Instruct
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tags:
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- lora
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- peft
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- geometric-ai
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- biblical-hebrew
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- koine-greek
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- latin-vulgate
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- e8-lattice
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- hallucination-reduction
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- sovereign-engine
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license: other
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license_name: sectl-1.0
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license_link: https://github.com/JLeeV/sovereign-engine/blob/main/LICENSE
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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": "Qwen/Qwen2.5-0.5B-Instruct",
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"bias": "none",
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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": 0.05,
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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": 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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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:469c020158c43dc6167c1cd3fc526ddf791a6feebbae45656afbd1401c6cd12d
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size 8663400
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