Instructions to use Rami/dolly_prompt_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rami/dolly_prompt_generator with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("databricks/dolly-v2-3b") model = PeftModel.from_pretrained(base_model, "Rami/dolly_prompt_generator") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- README.md +17 -0
- adapter_config.json +3 -3
- adapter_model.bin +1 -1
README.md
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---
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library_name: peft
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---
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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: 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: float16
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### Framework versions
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- PEFT 0.4.0.dev0
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adapter_config.json
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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":
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"revision": null,
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"target_modules": [
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"dense",
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"dense_h_to_4h",
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"query_key_value"
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"dense_4h_to_h"
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],
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"task_type": "CAUSAL_LM"
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}
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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": 16,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"revision": null,
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"target_modules": [
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"dense",
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"dense_4h_to_h",
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"dense_h_to_4h",
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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:
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size 42036557
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version https://git-lfs.github.com/spec/v1
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oid sha256:e6e0f6bf2b755446a943bed9acacbbc9eb5e55fb6cca1ebb4dfe163b055868bb
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size 42036557
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