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  1. README.md +25 -0
  2. adapter_config.json +40 -0
  3. adapter_model.safetensors +3 -0
README.md ADDED
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+ ---
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+ base_model:
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+ - google/gemma-2-9b-it
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+ - KishoreK/ActionGemma-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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+ ---
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+ # Untitled LoRA Model (1)
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+
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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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+
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+ ## LoRA Details
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+
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+ This LoRA adapter was extracted from [KishoreK/ActionGemma-9B](https://huggingface.co/KishoreK/ActionGemma-9B) and uses [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) as a base.
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+
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+ ### Parameters
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+
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+ The following command was used to extract this LoRA adapter:
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+
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+ ```sh
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+ mergekit-extract-lora KishoreK/ActionGemma-9B google/gemma-2-9b-it OUTPUT_PATH --rank=512
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+ ```
adapter_config.json ADDED
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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": 512,
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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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+ "pre_feedforward_layernorm",
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+ "post_feedforward_layernorm",
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+ "input_layernorm",
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+ "norm"
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+ ],
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+ "peft_type": "LORA",
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+ "r": 512,
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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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+ "gate_proj",
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+ "up_proj",
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+ "down_proj",
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+ "k_proj",
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+ "lm_head",
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+ "v_proj",
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+ "embed_tokens",
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+ "o_proj"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_rslora": false
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+ }
adapter_model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:e37df68f3bfb3fb23dcda84719fcfa193b2a7c386308bf64e341762ac702b06f
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+ size 7448465336