PEFT
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  1. README.md +18 -0
  2. adapter_config.json +20 -0
  3. adapter_model.bin +3 -0
README.md ADDED
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+ ## Training procedure
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+
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: bitsandbytes
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+ - load_in_8bit: True
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+ - load_in_4bit: False
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+ - llm_int8_threshold: 6.0
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+ - llm_int8_skip_modules: None
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+ - llm_int8_enable_fp32_cpu_offload: False
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+ - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: fp4
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+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float32
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+ ### Framework versions
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+
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+
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+ - PEFT 0.6.0.dev0
adapter_config.json ADDED
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+ {
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+ "adapter_dropout": 0.0,
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "bigcode/starcoderbase-1b",
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+ "bias": "none",
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+ "bottleneck_size": 256,
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+ "inference_mode": true,
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+ "init_weights": "bert",
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+ "modules_to_save": null,
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+ "non_linearity": "tanh",
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+ "peft_type": "BOTTLENECK",
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+ "revision": null,
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+ "scaling": 1.0,
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+ "target_modules": [
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+ "mlp.c_proj"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_adapterp": true,
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+ "use_parallel_adapter": false
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+ }
adapter_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:4ca0fb9792f877fa314e69061ef35435b953e8b03ba8cfd758fa7a4b10cc916c
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+ size 100670973