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README.md

@@ -1,21 +1,9 @@
 ---
 library_name: peft
-license: llama2
-datasets:
-- ehartford/dolphin
-tags:
-- llama-2
-inference: false
-pipeline_tag: text-generation
----
-
-# llama-2-70b-dolphin 🦙🐬
-
-This instruction model was built via parameter-efficient QLoRA finetuning of [llama-2-70b](https://huggingface.co/meta-llama/Llama-2-70b-hf) on the first 25k 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 H100 (80 GB PCIe) for roughly XX hours on the [Lambda Labs](https://cloud.lambdalabs.com/instances) platform.
-
 ---
+## Training procedure
 
 ### Framework versions
 
 
-- PEFT 0.5.0.dev0
+- PEFT 0.5.0.dev0

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Llama-2-70b-hf",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d8b24117dbb94738050e7366e1c7818252e14e29c611ebbfbc39d8a9f79b7431
+size 1048663568