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holodeck-13b-rp-adventure-lora-epoch3/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: False
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- load_in_4bit: 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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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: bfloat16
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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: False
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- load_in_4bit: 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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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: bfloat16
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### Framework versions
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- PEFT 0.5.0.dev0
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- PEFT 0.5.0.dev0
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holodeck-13b-rp-adventure-lora-epoch3/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "KoboldAI/LLAMA2-13B-Holodeck-1",
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"bias": "none",
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"fan_in_fan_out": null,
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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": 0.05,
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"modules_to_save": [
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"embed_tokens",
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"lm_head"
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],
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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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"k_proj",
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"gate_proj",
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"o_proj",
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"up_proj",
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"q_proj",
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"down_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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holodeck-13b-rp-adventure-lora-epoch3/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a29527966039e34e634478d5961c5dd7d04dd37c579953972ce26c45ea335e4
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size 1156257813
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