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Browse files- README.md +25 -0
- adapter_config.json +40 -0
- adapter_model.safetensors +3 -0
README.md
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---
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base_model:
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- google/gemma-2-9b-it
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- ifable/gemma-2-Ifable-9B
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library_name: transformers
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tags:
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- mergekit
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- peft
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---
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# Untitled LoRA Model (1)
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This is a LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit).
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## LoRA Details
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This LoRA adapter was extracted from [ifable/gemma-2-Ifable-9B](https://huggingface.co/ifable/gemma-2-Ifable-9B) and uses [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) as a base.
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### Parameters
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The following command was used to extract this LoRA adapter:
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```sh
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mergekit-extract-lora ifable/gemma-2-Ifable-9B google/gemma-2-9b-it OUTPUT_PATH --rank=64
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```
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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": "google/gemma-2-9b-it",
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"bias": "none",
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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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"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_dropout": 0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"post_attention_layernorm",
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"input_layernorm",
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"norm",
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"post_feedforward_layernorm",
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"pre_feedforward_layernorm"
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],
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"peft_type": "LORA",
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"r": 64,
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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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"k_proj",
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"o_proj",
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"down_proj",
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"up_proj",
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"lm_head",
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"gate_proj",
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"v_proj",
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"embed_tokens"
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],
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"task_type": "CAUSAL_LM",
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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:e50d3960db07e28e68767343fab3c9e6729b65facb226702bfac860a03cad575
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size 466685424
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