Text Generation
PEFT
Safetensors
mistral
conversational
Eval Results
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  1. README.md +2 -14
  2. adapter_config.json +23 -0
  3. adapter_model.safetensors +3 -0
README.md CHANGED
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  ---
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  library_name: peft
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- license: llama2
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- datasets:
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- - ehartford/dolphin
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- tags:
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- - llama-2
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- inference: false
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- pipeline_tag: text-generation
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- ---
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-
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- # llama-2-13b-dolphin 🦙🐬
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-
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- This instruction model was built via parameter-efficient QLoRA finetuning of [llama-2-13b](https://huggingface.co/meta-llama/Llama-2-13b-hf) on the first 100k rows of [ehartford/dolphin](https://huggingface.co/datasets/ehartford/dolphin) (an open-source implementation of [Microsoft's Orca](https://www.microsoft.com/en-us/research/publication/orca-progressive-learning-from-complex-explanation-traces-of-gpt-4/)). Finetuning was executed on a single A6000 (48 GB) for roughly XX hours on the [Lambda Labs](https://cloud.lambdalabs.com/instances) platform.
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-
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  ---
 
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  ### Framework versions
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- - PEFT 0.5.0.dev0
 
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  ---
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  library_name: peft
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ ## Training procedure
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  ### Framework versions
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+ - PEFT 0.5.0.dev0
adapter_config.json ADDED
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+ {
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "meta-llama/Llama-2-13b-hf",
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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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+ "lora_alpha": 16,
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+ "lora_dropout": 0.1,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 64,
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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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+ "v_proj",
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+ "o_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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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 sha256:9f70dc35db3f30fd244fcbb6c1e7ba4488e89dda8c1b0033bacf8f0dc2b74dbe
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+ size 419474032