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README.md

@@ -1,6 +1,21 @@
 ---
-license: mit
-language:
-- en
-library_name: adapter-transformers
----
+library_name: peft
+---
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: float32
+### Framework versions
+
+
+- PEFT 0.5.0

adapter_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b916f8d3797f5043ea12f59b55b3fb0d7c1bf47f5ffd1bc872363230ecb8101b
+size 8439178

config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 64,
+  "lora_dropout": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 4,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:535276332d64aa93fa855ebc478d5ea06307bd9c85cfb0d9b926241d3dc2a215
+size 4472