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Browse files- README.md +34 -0
- adapter_config.json +20 -0
- adapter_model.bin +3 -0
README.md
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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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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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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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- PEFT 0.6.0.dev0
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- PEFT 0.6.0.dev0
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adapter_config.json
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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-3b",
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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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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3af2f882961b51a36c4680f6fb7bdaf2285890fcaf8a256574fec786a21f8d69
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size 207629565
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