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remove stale code checkpoint (trained on 204-template data that failed SL)

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  1. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/README.md +0 -61
  2. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/adapter_config.json +0 -46
  3. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/adapter_model.safetensors +0 -3
  4. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/added_tokens.json +0 -24
  5. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/chat_template.jinja +0 -54
  6. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-3735/README.md +0 -209
  7. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-3735/adapter_config.json +0 -46
  8. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-3735/adapter_model.safetensors +0 -3
  9. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-3735/added_tokens.json +0 -24
  10. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-3735/chat_template.jinja +0 -54
  11. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-3735/merges.txt +0 -0
  12. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-3735/special_tokens_map.json +0 -31
  13. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-3735/tokenizer.json +0 -3
  14. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-3735/tokenizer_config.json +0 -207
  15. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-3735/trainer_state.json +0 -0
  16. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-3735/training_args.bin +0 -3
  17. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-3735/vocab.json +0 -0
  18. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-4150/README.md +0 -209
  19. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-4150/adapter_config.json +0 -46
  20. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-4150/adapter_model.safetensors +0 -3
  21. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-4150/added_tokens.json +0 -24
  22. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-4150/chat_template.jinja +0 -54
  23. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-4150/merges.txt +0 -0
  24. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-4150/special_tokens_map.json +0 -31
  25. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-4150/tokenizer.json +0 -3
  26. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-4150/tokenizer_config.json +0 -207
  27. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-4150/trainer_state.json +0 -0
  28. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-4150/training_args.bin +0 -3
  29. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/checkpoint-4150/vocab.json +0 -0
  30. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/manifest.json +0 -23
  31. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/merges.txt +0 -0
  32. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/special_tokens_map.json +0 -31
  33. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/tokenizer.json +0 -3
  34. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/tokenizer_config.json +0 -207
  35. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/train_manifest.json +0 -23
  36. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/training_args.bin +0 -3
  37. checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/vocab.json +0 -0
checkpoints/cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1/README.md DELETED
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- ---
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- base_model: Qwen/Qwen2.5-7B-Instruct
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- library_name: peft
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- model_name: cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1
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- tags:
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- - base_model:adapter:Qwen/Qwen2.5-7B-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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- licence: license
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- pipeline_tag: text-generation
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- ---
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-
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- # Model Card for cat_code_qwen25_7b_r8_a32_adamw_e10_lr1e-4_s1
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-
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- This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-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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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/agam-research/huggingface/runs/r12so2jj)
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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 0.18.1
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- - TRL: 0.28.0
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- - Transformers: 4.57.6
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- - Pytorch: 2.10.0
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- - Datasets: 4.5.0
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- - Tokenizers: 0.22.2
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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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- @software{vonwerra2020trl,
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- title = {{TRL: Transformers Reinforcement Learning}},
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- author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
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- license = {Apache-2.0},
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- url = {https://github.com/huggingface/trl},
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- year = {2020}
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- }
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ---
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- base_model: Qwen/Qwen2.5-7B-Instruct
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- library_name: peft
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- pipeline_tag: text-generation
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- tags:
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- - base_model:adapter:Qwen/Qwen2.5-7B-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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- ---
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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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- ## 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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- - **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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- <!-- 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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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- [More Information Needed]
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-
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- ### Downstream Use [optional]
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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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- [More Information Needed]
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- [More Information Needed]
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- ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- [More Information Needed]
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- ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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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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- Use the code below to get started with the model.
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- [More Information Needed]
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- ## Training Details
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- ### Training Data
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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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- [More Information Needed]
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- ### Training Procedure
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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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- #### Preprocessing [optional]
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- [More Information Needed]
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- #### Training Hyperparameters
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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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- #### Speeds, Sizes, Times [optional]
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- [More Information Needed]
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- ## Evaluation
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- <!-- This section describes the evaluation protocols and provides the results. -->
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- ### Testing Data, Factors & Metrics
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- #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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- [More Information Needed]
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- #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- ### Results
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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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- ## Environmental Impact
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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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- 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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- - **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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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- ### Compute Infrastructure
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- #### Software
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- ## Citation [optional]
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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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- **BibTeX:**
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- [More Information Needed]
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- **APA:**
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- [More Information Needed]
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- ## Glossary [optional]
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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 [optional]
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- ## Model Card Authors [optional]
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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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6
- - base_model:adapter:Qwen/Qwen2.5-7B-Instruct
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- - lora
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- - sft
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- - transformers
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- ---
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