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  1. llama-3-8b-Instruct_lora_rank1_summarization/README.md +0 -62
  2. llama-3-8b-Instruct_lora_rank1_summarization/adapter_config.json +0 -39
  3. llama-3-8b-Instruct_lora_rank1_summarization/adapter_model.safetensors +0 -3
  4. llama-3-8b-Instruct_lora_rank1_summarization/chat_template.jinja +0 -5
  5. llama-3-8b-Instruct_lora_rank1_summarization/checkpoint-126/README.md +0 -209
  6. llama-3-8b-Instruct_lora_rank1_summarization/checkpoint-126/adapter_config.json +0 -39
  7. llama-3-8b-Instruct_lora_rank1_summarization/checkpoint-126/adapter_model.safetensors +0 -3
  8. llama-3-8b-Instruct_lora_rank1_summarization/checkpoint-126/chat_template.jinja +0 -5
  9. llama-3-8b-Instruct_lora_rank1_summarization/checkpoint-126/optimizer.pt +0 -3
  10. llama-3-8b-Instruct_lora_rank1_summarization/checkpoint-126/rng_state.pth +0 -3
  11. llama-3-8b-Instruct_lora_rank1_summarization/checkpoint-126/scheduler.pt +0 -3
  12. llama-3-8b-Instruct_lora_rank1_summarization/checkpoint-126/special_tokens_map.json +0 -17
  13. llama-3-8b-Instruct_lora_rank1_summarization/checkpoint-126/tokenizer.json +0 -3
  14. llama-3-8b-Instruct_lora_rank1_summarization/checkpoint-126/tokenizer_config.json +0 -2064
  15. llama-3-8b-Instruct_lora_rank1_summarization/checkpoint-126/trainer_state.json +0 -916
  16. llama-3-8b-Instruct_lora_rank1_summarization/checkpoint-126/training_args.bin +0 -3
  17. llama-3-8b-Instruct_lora_rank1_summarization/special_tokens_map.json +0 -17
  18. llama-3-8b-Instruct_lora_rank1_summarization/tokenizer.json +0 -3
  19. llama-3-8b-Instruct_lora_rank1_summarization/tokenizer_config.json +0 -2064
llama-3-8b-Instruct_lora_rank1_summarization/README.md DELETED
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- ---
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- base_model: unsloth/llama-3-8b-Instruct
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- library_name: peft
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- model_name: llama-3-8b-Instruct_lora_rank1_summarization
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- tags:
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- - base_model:adapter:unsloth/llama-3-8b-Instruct
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- - lora
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- - sft
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- - transformers
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- - trl
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- - unsloth
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- licence: license
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- ---
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-
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- # Model Card for llama-3-8b-Instruct_lora_rank1_summarization
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-
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- This model is a fine-tuned version of [unsloth/llama-3-8b-Instruct](https://huggingface.co/unsloth/llama-3-8b-Instruct).
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- It has been trained using [TRL](https://github.com/huggingface/trl).
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-
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- ## Quick start
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-
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- ```python
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- from transformers import pipeline
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-
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- question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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- generator = pipeline("text-generation", model="None", device="cuda")
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- output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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- print(output["generated_text"])
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- ```
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-
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- ## Training procedure
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-
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-
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-
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-
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- This model was trained with SFT.
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-
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- ### Framework versions
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-
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- - PEFT 0.17.1
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- - TRL: 0.22.1
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- - Transformers: 4.55.4
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- - Pytorch: 2.8.0
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- - Datasets: 3.6.0
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- - Tokenizers: 0.21.4
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-
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- ## Citations
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-
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-
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-
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- Cite TRL as:
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-
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- ```bibtex
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- @misc{vonwerra2022trl,
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- title = {{TRL: Transformer Reinforcement Learning}},
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- author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
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- year = 2020,
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- journal = {GitHub repository},
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- publisher = {GitHub},
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- howpublished = {\url{https://github.com/huggingface/trl}}
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- }
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- "megatron_core": "megatron.core",
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-
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- '+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
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llama-3-8b-Instruct_lora_rank1_summarization/checkpoint-126/README.md DELETED
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- ---
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- base_model: unsloth/llama-3-8b-Instruct
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- library_name: peft
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- tags:
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- - base_model:adapter:unsloth/llama-3-8b-Instruct
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- - lora
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- - sft
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- - transformers
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- - trl
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- - unsloth
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- ---
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-
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- # Model Card for Model ID
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-
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- <!-- Provide a quick summary of what the model is/does. -->
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-
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-
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-
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- ## Model Details
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-
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- ### Model Description
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-
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- <!-- Provide a longer summary of what this model is. -->
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-
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-
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-
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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-
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- ### Model Sources [optional]
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-
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- <!-- Provide the basic links for the model. -->
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-
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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-
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- ## Uses
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-
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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-
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- ### Direct Use
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-
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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-
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- [More Information Needed]
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-
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- ### Downstream Use [optional]
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-
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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-
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- [More Information Needed]
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-
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- ### Out-of-Scope Use
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-
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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-
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- [More Information Needed]
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-
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- ## Bias, Risks, and Limitations
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-
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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-
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- [More Information Needed]
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-
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- ### Recommendations
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-
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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-
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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-
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- ## How to Get Started with the Model
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-
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- Use the code below to get started with the model.
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-
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- [More Information Needed]
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-
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- ## Training Details
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-
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- ### Training Data
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-
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- <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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-
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- [More Information Needed]
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-
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- ### Training Procedure
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-
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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-
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- #### Preprocessing [optional]
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-
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- [More Information Needed]
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-
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-
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- #### Training Hyperparameters
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-
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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-
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- #### Speeds, Sizes, Times [optional]
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-
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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-
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- [More Information Needed]
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-
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- ## Evaluation
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-
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- <!-- This section describes the evaluation protocols and provides the results. -->
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-
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- ### Testing Data, Factors & Metrics
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-
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- #### Testing Data
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-
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- <!-- This should link to a Dataset Card if possible. -->
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-
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- [More Information Needed]
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-
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- #### Factors
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-
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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-
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- [More Information Needed]
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-
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- #### Metrics
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-
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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-
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- [More Information Needed]
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-
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- ### Results
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-
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- [More Information Needed]
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-
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- #### Summary
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-
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-
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-
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- ## Model Examination [optional]
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-
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- <!-- Relevant interpretability work for the model goes here -->
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-
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- [More Information Needed]
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-
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- ## Environmental Impact
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-
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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-
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- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-
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- - **Hardware Type:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Compute Region:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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-
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- ## Technical Specifications [optional]
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-
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- ### Model Architecture and Objective
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-
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- [More Information Needed]
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-
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- ### Compute Infrastructure
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-
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- [More Information Needed]
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-
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- #### Hardware
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-
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- [More Information Needed]
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-
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- #### Software
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-
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- [More Information Needed]
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- ## Citation [optional]
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-
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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-
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- **BibTeX:**
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-
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- [More Information Needed]
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-
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- **APA:**
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-
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- [More Information Needed]
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-
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- ## Glossary [optional]
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-
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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- [More Information Needed]
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- ## More Information [optional]
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- [More Information Needed]
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- ## Model Card Authors [optional]
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- [More Information Needed]
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- ## Model Card Contact
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- [More Information Needed]
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- ### Framework versions
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-
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- - PEFT 0.17.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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