Upload model
#1
by
vaatsav06
- opened
- README.md +36 -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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- load_in_8bit: True
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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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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: True
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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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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: True
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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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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: True
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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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### Framework versions
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- PEFT 0.5.0
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- PEFT 0.5.0
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- PEFT 0.5.0
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- PEFT 0.5.0
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "tiiuae/falcon-7b",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.15,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 32,
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"revision": null,
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"target_modules": [
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"query_key_value"
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],
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"task_type": "CAUSAL_LM"
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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 sha256:8bfe9626f8c9353e05df46105bfeba0196ae3c59ec2b5447a6897ec1f9838672
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size 37772529
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