addd
Browse filesadd stuff
- README.md +24 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- checkpoint-1000/README.md +24 -0
- checkpoint-1000/adapter_config.json +21 -0
- checkpoint-1000/adapter_model.safetensors +3 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/rng_state.pth +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/trainer_state.json +371 -0
- checkpoint-1000/training_args.bin +3 -0
- checkpoint-1500/README.md +24 -0
- checkpoint-1500/adapter_config.json +21 -0
- checkpoint-1500/adapter_model.safetensors +3 -0
- checkpoint-1500/optimizer.pt +3 -0
- checkpoint-1500/rng_state.pth +3 -0
- checkpoint-1500/scheduler.pt +3 -0
- checkpoint-1500/trainer_state.json +546 -0
- checkpoint-1500/training_args.bin +3 -0
- checkpoint-500/README.md +24 -0
- checkpoint-500/adapter_config.json +21 -0
- checkpoint-500/adapter_model.safetensors +3 -0
- checkpoint-500/optimizer.pt +3 -0
- checkpoint-500/rng_state.pth +3 -0
- checkpoint-500/scheduler.pt +3 -0
- checkpoint-500/trainer_state.json +196 -0
- checkpoint-500/training_args.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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- bnb_4bit_quant_storage: uint8
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- load_in_4bit: False
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- load_in_8bit: True
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### Framework versions
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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": "sallywww/Llama-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": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"q_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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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f43e3c1d22d40de08a686d8f2eca862fe32522c110314f0996cbad068441d64f
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size 16823434
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checkpoint-1000/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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5 |
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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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- bnb_4bit_quant_storage: uint8
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- load_in_4bit: False
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- load_in_8bit: True
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### Framework versions
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- PEFT 0.5.0
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checkpoint-1000/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "sallywww/Llama-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": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"q_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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checkpoint-1000/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e42b50769ce7113b870c21414ac485b2cfcb3290d07d8405d46df3155ce1c000
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size 16794200
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checkpoint-1000/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6540ebbdfc9b7e36d3f8f6bc9999bcd611d07c11f36de333c418e5ec32ac0626
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size 33662074
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checkpoint-1000/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:45776e70f7048c8554b90ed5d716cb0cad5954e1b5cc4952225b3f6075d24ef3
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size 14244
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checkpoint-1000/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0ed2f32f660a723773ce8e9c92db5c6aff6e2a63e18d1c2dd5d1f984fb98d633
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size 1064
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checkpoint-1000/trainer_state.json
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checkpoint-1500/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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### Framework versions
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- PEFT 0.5.0
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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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### Framework versions
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- PEFT 0.5.0
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