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README.md

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+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: True
+- load_in_4bit: False
+- 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: fp4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float32
+### Framework versions
+
+
+- PEFT 0.6.0.dev0

adapter_config.json

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+{
+  "adapter_dropout": 0.0,
+  "auto_mapping": null,
+  "base_model_name_or_path": "bigcode/starcoderbase-3b",
+  "bias": "none",
+  "bottleneck_size": 256,
+  "inference_mode": true,
+  "init_weights": "bert",
+  "modules_to_save": null,
+  "non_linearity": "tanh",
+  "peft_type": "BOTTLENECK",
+  "revision": null,
+  "scaling": 1.0,
+  "target_modules": [
+    "c_attn",
+    "q_attn"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_adapterp": false,
+  "use_parallel_adapter": true
+}

adapter_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0c16ad6524d8562d6ffe9085f421cd474be1fdf924d6838d3a2e2867322d7e63
+size 217066813