PEFT
Safetensors
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jinjieyuan commited on
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ec189cd
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Remove base model

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Signed-off-by: jinjieyuan <[email protected]>

README.md CHANGED
@@ -5,18 +5,18 @@ license: apache-2.0
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  # Shears Model Card: shears-llama-13b-50-math-heuristic
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- The heuristic subnetwork discovered from the [super-network](https://huggingface.co/IntelLabs/shears-llama-13b-50-math-super) fine-tuned on LLaMA-13B with some math reasoning datasets using Shears.
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  ## Model Details
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  ### Information
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  - **Model name:** shears-llama-13b-50-math-heuristic
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- - **Base model:** [LLaMA-13b](https://huggingface.co/yahma/llama-13b-hf)
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  - **Sparsity:** 50%
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  - **Domain:** Math
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  - **Subnetwork version:** Heuristic
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- - **NNCF Configuration:** [nncf_shears_llama_13b_sparsity50.json](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears/nncf_config/unified_math/nncf_shears_llama_13b_sparsity50.json)
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  ### Adapter Configuration
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@@ -44,7 +44,7 @@ Unified math reasoning dataset: [math_10k.json](https://github.com/AGI-Edgerunne
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  Use our modified PEFT library (apply [patch](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears/patches/peft-modifications-for-shears-inference-usage.patch)):
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  ```bash
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  git clone https://github.com/huggingface/peft.git
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- pushd peft && git checkout v0.5.0 && git apply --ignore-space-change --ignore-whitespace peft-modifications-for-shears-inference-usage.patch && pip install -e . && popd
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  ```
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  ```python
@@ -62,17 +62,14 @@ def generate_prompt(instruction):
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  ### Response:
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  """
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- base_model_path = "shears-llama-13b-50-math-heuristic/base_model"
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- adapter_model_path = "shears-llama-13b-50-math-heuristic/adapter_model"
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- base_model = AutoModelForCausalLM.from_pretrained(base_model_path)
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- model = PeftModel.from_pretrained(base_model, adapter_model_path)
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  model.eval()
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  non_zero_params = sum([(param.data != 0).sum().item() for _, param in model.named_parameters()])
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  print(f"Number of all non-zero parameters: {non_zero_params}")
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- tokenizer = AutoTokenizer.from_pretrained(model_path)
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- tokenizer.pad_token_id = 0
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  instruction = "Edgar eats 18 pretzels a day. If his brother eats 1/2 as many, how many does his brother eat in a week?"
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  prompt = generate_prompt(instruction)
@@ -87,8 +84,8 @@ with torch.no_grad():
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  use_cache=True,
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  num_beams=4,
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  )
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- s = generation_output.sequences[0]
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- output = tokenizer.decode(s)
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  print(output)
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  ```
@@ -105,7 +102,7 @@ print(output)
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  ## Model Sources
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  - **Repository:** [https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears)
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- - **Paper:** [Shears: Unstructured Sparsity with Neural Low-rank Adapter Search]()
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  ## Citation
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@@ -113,7 +110,7 @@ print(output)
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  @article{munoz2024shears,
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  title = {Shears: Unstructured Sparsity with Neural Low-rank Adapter Search},
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  author={J. Pablo Munoz and Jinjie Yuan and Nilesh Jain},
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- journal={},
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  year={2024}
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  }
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  ```
 
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  # Shears Model Card: shears-llama-13b-50-math-heuristic
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+ The heuristic adapter discovered from the [super-adapter](https://huggingface.co/IntelLabs/shears-llama-13b-50-math-super) fine-tuned on sparsified LLaMA-13B with some math reasoning datasets using Shears.
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  ## Model Details
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  ### Information
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  - **Model name:** shears-llama-13b-50-math-heuristic
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+ - **Base model:** [IntelLabs/Llama-1-13B-sparsity50](https://huggingface.co/IntelLabs/Llama-1-13B-sparsity50)
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  - **Sparsity:** 50%
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  - **Domain:** Math
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  - **Subnetwork version:** Heuristic
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+ - **NNCF Configuration:** [nncf_shears_llama.json](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears/nncf_config/nncf_shears_llama.json)
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  ### Adapter Configuration
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  Use our modified PEFT library (apply [patch](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears/patches/peft-modifications-for-shears-inference-usage.patch)):
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  ```bash
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  git clone https://github.com/huggingface/peft.git
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+ cd peft && git checkout v0.5.0 && git apply --ignore-space-change --ignore-whitespace peft-modifications-for-shears-inference-usage.patch && pip install -e . && cd ..
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  ```
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  ```python
 
62
  ### Response:
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  """
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+ base_model = AutoModelForCausalLM.from_pretrained("IntelLabs/Llama-1-13B-sparsity50")
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+ model = PeftModel.from_pretrained(base_model, "IntelLabs/shears-llama-13b-50-math-heuristic")
 
 
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  model.eval()
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  non_zero_params = sum([(param.data != 0).sum().item() for _, param in model.named_parameters()])
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  print(f"Number of all non-zero parameters: {non_zero_params}")
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+ tokenizer = AutoTokenizer.from_pretrained("IntelLabs/Llama-1-13B-sparsity50")
 
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  instruction = "Edgar eats 18 pretzels a day. If his brother eats 1/2 as many, how many does his brother eat in a week?"
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  prompt = generate_prompt(instruction)
 
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  use_cache=True,
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  num_beams=4,
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  )
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+ s = generation_output.sequences[0]
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+ output = tokenizer.decode(s)
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  print(output)
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91
  ```
 
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  ## Model Sources
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  - **Repository:** [https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears)
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+ - **Paper:** [Shears: Unstructured Sparsity with Neural Low-rank Adapter Search](https://arxiv.org/abs/2404.10934)
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107
  ## Citation
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110
  @article{munoz2024shears,
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  title = {Shears: Unstructured Sparsity with Neural Low-rank Adapter Search},
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  author={J. Pablo Munoz and Jinjie Yuan and Nilesh Jain},
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+ journal={The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-2024)},
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  year={2024}
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  }
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  ```
adapter_model/adapter_config.json → adapter_config.json RENAMED
@@ -1,6 +1,6 @@
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  {
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  "auto_mapping": null,
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- "base_model_name_or_path": "shears-llama-13b-50-math-heuristic/base_model",
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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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  {
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  "auto_mapping": null,
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+ "base_model_name_or_path": "IntelLabs/Llama-1-13B-sparsity50",
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  "bias": "none",
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  "fan_in_fan_out": false,
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  "inference_mode": true,
adapter_model/adapter_model.safetensors → adapter_model.safetensors RENAMED
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base_model/config.json DELETED
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