Instructions to use ArthurConmy/hereditary-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ArthurConmy/hereditary-weights with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Upload tinker/llama-3.2-3b-ccp-full660-seed2
Browse files- tinker/llama-3.2-3b-ccp-full660-seed2/README.md +17 -0
- tinker/llama-3.2-3b-ccp-full660-seed2/adapter_config.json +38 -0
- tinker/llama-3.2-3b-ccp-full660-seed2/adapter_model.safetensors +3 -0
- tinker/llama-3.2-3b-ccp-full660-seed2/checkpoint_complete +0 -0
- tinker/llama-3.2-3b-ccp-full660-seed2/source_info.json +10 -0
tinker/llama-3.2-3b-ccp-full660-seed2/README.md
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---
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tags:
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- hereditary
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- reward-hacking
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- peft
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- lora
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---
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# llama-3.2-3b-ccp-full660-seed2
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- Hugging Face folder: [https://huggingface.co/ArthurConmy/hereditary-weights/tree/main/tinker/llama-3.2-3b-ccp-full660-seed2](https://huggingface.co/ArthurConmy/hereditary-weights/tree/main/tinker/llama-3.2-3b-ccp-full660-seed2)
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- Artifact kind: `tinker_adapter`
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- Base model: `meta-llama/Llama-3.2-3B`
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- Task/recipe hint: Chinese censorship transfer
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- Original source: `tinker://6b1bb9a5-93e3-5071-be59-f638b3d065b9:train:0/sampler_weights/llama-3.2-3b_ccp_full660_seed2-sampler`
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For adapter folders, load the listed base model separately and apply this PEFT/LoRA adapter. Third-party base model weights are not duplicated in adapter folders.
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tinker/llama-3.2-3b-ccp-full660-seed2/adapter_config.json
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": null,
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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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": false,
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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": 32,
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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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"peft_version": "0.18.1",
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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": "all-linear",
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"target_parameters": null,
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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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tinker/llama-3.2-3b-ccp-full660-seed2/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a205b42e5cad624dabef7c971820a5e455f6873e1aefa483c5c58896ab581989
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size 194563368
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tinker/llama-3.2-3b-ccp-full660-seed2/checkpoint_complete
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File without changes
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tinker/llama-3.2-3b-ccp-full660-seed2/source_info.json
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{
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"kind": "tinker_adapter",
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"name": "llama-3.2-3b_ccp_full660_seed2",
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"source": "tinker://6b1bb9a5-93e3-5071-be59-f638b3d065b9:train:0/sampler_weights/llama-3.2-3b_ccp_full660_seed2-sampler",
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"path_in_repo": "tinker/llama-3.2-3b-ccp-full660-seed2",
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"base_model": "meta-llama/Llama-3.2-3B",
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"task": "Chinese censorship transfer",
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"marker": "tinker/llama-3.2-3b-ccp-full660-seed2/adapter_model.safetensors",
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"hf_url": "https://huggingface.co/ArthurConmy/hereditary-weights/tree/main/tinker/llama-3.2-3b-ccp-full660-seed2"
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}
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