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  1. .gitattributes +36 -0
  2. checkpoints/llama1b_lora_xsum/checkpoint-25000/README.md +207 -0
  3. checkpoints/llama1b_lora_xsum/checkpoint-25000/adapter_config.json +3 -0
  4. checkpoints/llama1b_lora_xsum/checkpoint-25000/adapter_model.safetensors +3 -0
  5. checkpoints/llama1b_lora_xsum/checkpoint-25000/chat_template.jinja +93 -0
  6. checkpoints/llama1b_lora_xsum/checkpoint-25000/optimizer.pt +3 -0
  7. checkpoints/llama1b_lora_xsum/checkpoint-25000/rng_state.pth +3 -0
  8. checkpoints/llama1b_lora_xsum/checkpoint-25000/scheduler.pt +3 -0
  9. checkpoints/llama1b_lora_xsum/checkpoint-25000/special_tokens_map.json +3 -0
  10. checkpoints/llama1b_lora_xsum/checkpoint-25000/tokenizer.json +3 -0
  11. checkpoints/llama1b_lora_xsum/checkpoint-25000/tokenizer_config.json +3 -0
  12. checkpoints/llama1b_lora_xsum/checkpoint-25000/trainer_state.json +3 -0
  13. checkpoints/llama1b_lora_xsum/checkpoint-25000/training_args.bin +3 -0
  14. checkpoints/llama1b_lora_xsum/checkpoint-25506/README.md +207 -0
  15. checkpoints/llama1b_lora_xsum/checkpoint-25506/adapter_config.json +3 -0
  16. checkpoints/llama1b_lora_xsum/checkpoint-25506/adapter_model.safetensors +3 -0
  17. checkpoints/llama1b_lora_xsum/checkpoint-25506/chat_template.jinja +93 -0
  18. checkpoints/llama1b_lora_xsum/checkpoint-25506/optimizer.pt +3 -0
  19. checkpoints/llama1b_lora_xsum/checkpoint-25506/rng_state.pth +3 -0
  20. checkpoints/llama1b_lora_xsum/checkpoint-25506/scheduler.pt +3 -0
  21. checkpoints/llama1b_lora_xsum/checkpoint-25506/special_tokens_map.json +3 -0
  22. checkpoints/llama1b_lora_xsum/checkpoint-25506/tokenizer.json +3 -0
  23. checkpoints/llama1b_lora_xsum/checkpoint-25506/tokenizer_config.json +3 -0
  24. checkpoints/llama1b_lora_xsum/checkpoint-25506/trainer_state.json +3 -0
  25. checkpoints/llama1b_lora_xsum/checkpoint-25506/training_args.bin +3 -0
  26. checkpoints/moe_hash/best.pt +3 -0
  27. checkpoints/moe_hash_lb0/best.pt +3 -0
  28. checkpoints/moe_hash_lb1/best.pt +3 -0
  29. checkpoints/moe_hash_lb5/best.pt +3 -0
  30. checkpoints/moe_hash_lib/best.pt +3 -0
  31. checkpoints/moe_hash_lib0/best.pt +3 -0
  32. checkpoints/moe_topk/best.pt +3 -0
  33. checkpoints/moe_topk_gqa/best.pt +3 -0
  34. checkpoints/moe_topk_lb0/best.pt +3 -0
  35. checkpoints/moe_topk_lb1/best.pt +3 -0
  36. checkpoints/moe_topk_lb5/best.pt +3 -0
  37. checkpoints/moe_topk_lib/best.pt +3 -0
  38. checkpoints/moe_topk_lib0/best.pt +3 -0
  39. checkpoints/t5/best_checkpoint/config.json +3 -0
  40. checkpoints/t5/best_checkpoint/generation_config.json +3 -0
  41. checkpoints/t5/best_checkpoint/model.safetensors +3 -0
  42. checkpoints/t5/best_checkpoint/special_tokens_map.json +3 -0
  43. checkpoints/t5/best_checkpoint/spiece.model +3 -0
  44. checkpoints/t5/best_checkpoint/tokenizer.json +3 -0
  45. checkpoints/t5/best_checkpoint/tokenizer_config.json +3 -0
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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checkpoints/llama1b_lora_xsum/checkpoint-25000/README.md ADDED
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+ ---
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+ base_model: meta-llama/Llama-3.2-1B-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:meta-llama/Llama-3.2-1B-Instruct
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+ - lora
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+ - transformers
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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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+
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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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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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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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+ {{- bos_token }}
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+ {%- if custom_tools is defined %}
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+ {%- set tools = custom_tools %}
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+ {%- endif %}
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+ {%- if not tools_in_user_message is defined %}
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+ {%- set tools_in_user_message = true %}
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+ {%- endif %}
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+ {%- if not date_string is defined %}
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+ {%- if strftime_now is defined %}
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+ {%- set date_string = strftime_now("%d %b %Y") %}
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+ {%- else %}
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+ {%- set date_string = "26 Jul 2024" %}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- if not tools is defined %}
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+ {%- set tools = none %}
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+ {%- endif %}
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+
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+ {#- This block extracts the system message, so we can slot it into the right place. #}
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+ {%- if messages[0]['role'] == 'system' %}
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+ {%- set system_message = messages[0]['content']|trim %}
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+ {%- set messages = messages[1:] %}
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+ {%- else %}
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+ {%- set system_message = "" %}
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+ {%- endif %}
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+
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+ {#- System message #}
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+ {{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
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+ {%- if tools is not none %}
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+ {{- "Environment: ipython\n" }}
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+ {%- endif %}
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+ {{- "Cutting Knowledge Date: December 2023\n" }}
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+ {{- "Today Date: " + date_string + "\n\n" }}
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+ {%- if tools is not none and not tools_in_user_message %}
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+ {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
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+ {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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+ {{- "Do not use variables.\n\n" }}
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+ {%- for t in tools %}
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+ {{- t | tojson(indent=4) }}
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+ {{- "\n\n" }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- system_message }}
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+ {{- "<|eot_id|>" }}
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+
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+ {#- Custom tools are passed in a user message with some extra guidance #}
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+ {%- if tools_in_user_message and not tools is none %}
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+ {#- Extract the first user message so we can plug it in here #}
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+ {%- if messages | length != 0 %}
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+ {%- set first_user_message = messages[0]['content']|trim %}
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+ {%- set messages = messages[1:] %}
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+ {%- else %}
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+ {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
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+ {%- endif %}
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+ {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
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+ {{- "Given the following functions, please respond with a JSON for a function call " }}
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+ {{- "with its proper arguments that best answers the given prompt.\n\n" }}
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+ {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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+ {{- "Do not use variables.\n\n" }}
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+ {%- for t in tools %}
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+ {{- t | tojson(indent=4) }}
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+ {{- "\n\n" }}
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+ {%- endfor %}
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+ {{- first_user_message + "<|eot_id|>"}}
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+ {%- endif %}
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+
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+ {%- for message in messages %}
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+ {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
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+ {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
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+ {%- elif 'tool_calls' in message %}
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+ {%- if not message.tool_calls|length == 1 %}
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+ {{- raise_exception("This model only supports single tool-calls at once!") }}
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+ {%- endif %}
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+ {%- set tool_call = message.tool_calls[0].function %}
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+ {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
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+ {{- '{"name": "' + tool_call.name + '", ' }}
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+ {{- '"parameters": ' }}
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+ {{- tool_call.arguments | tojson }}
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+ {{- "}" }}
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+ {{- "<|eot_id|>" }}
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+ {%- elif message.role == "tool" or message.role == "ipython" %}
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+ {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
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+ {%- if message.content is mapping or message.content is iterable %}
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+ {{- message.content | tojson }}
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+ {%- else %}
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+ {{- message.content }}
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+ {%- endif %}
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+ {{- "<|eot_id|>" }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- if add_generation_prompt %}
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+ {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
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+ {%- endif %}
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1
+ ---
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+ base_model: meta-llama/Llama-3.2-1B-Instruct
3
+ library_name: peft
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+ pipeline_tag: text-generation
5
+ tags:
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+ - base_model:adapter:meta-llama/Llama-3.2-1B-Instruct
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+ - lora
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+ - transformers
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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]
26
+ - **Funded by [optional]:** [More Information Needed]
27
+ - **Shared by [optional]:** [More Information Needed]
28
+ - **Model type:** [More Information Needed]
29
+ - **Language(s) (NLP):** [More Information Needed]
30
+ - **License:** [More Information Needed]
31
+ - **Finetuned from model [optional]:** [More Information Needed]
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+
33
+ ### Model Sources [optional]
34
+
35
+ <!-- Provide the basic links for the model. -->
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+
37
+ - **Repository:** [More Information Needed]
38
+ - **Paper [optional]:** [More Information Needed]
39
+ - **Demo [optional]:** [More Information Needed]
40
+
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+ ## Uses
42
+
43
+ <!-- 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]
50
+
51
+ ### Downstream Use [optional]
52
+
53
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
54
+
55
+ [More Information Needed]
56
+
57
+ ### Out-of-Scope Use
58
+
59
+ <!-- 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]
62
+
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+ ## Bias, Risks, and Limitations
64
+
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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
70
+
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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.
74
+
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+ ## How to Get Started with the Model
76
+
77
+ Use the code below to get started with the model.
78
+
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+ [More Information Needed]
80
+
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+ ## Training Details
82
+
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+ ### Training Data
84
+
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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]
88
+
89
+ ### Training Procedure
90
+
91
+ <!-- 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]
96
+
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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 -->
101
+
102
+ #### Speeds, Sizes, Times [optional]
103
+
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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]
107
+
108
+ ## Evaluation
109
+
110
+ <!-- This section describes the evaluation protocols and provides the results. -->
111
+
112
+ ### Testing Data, Factors & Metrics
113
+
114
+ #### Testing Data
115
+
116
+ <!-- This should link to a Dataset Card if possible. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Factors
121
+
122
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
123
+
124
+ [More Information Needed]
125
+
126
+ #### Metrics
127
+
128
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
129
+
130
+ [More Information Needed]
131
+
132
+ ### Results
133
+
134
+ [More Information Needed]
135
+
136
+ #### Summary
137
+
138
+
139
+
140
+ ## Model Examination [optional]
141
+
142
+ <!-- Relevant interpretability work for the model goes here -->
143
+
144
+ [More Information Needed]
145
+
146
+ ## Environmental Impact
147
+
148
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
149
+
150
+ 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).
151
+
152
+ - **Hardware Type:** [More Information Needed]
153
+ - **Hours used:** [More Information Needed]
154
+ - **Cloud Provider:** [More Information Needed]
155
+ - **Compute Region:** [More Information Needed]
156
+ - **Carbon Emitted:** [More Information Needed]
157
+
158
+ ## Technical Specifications [optional]
159
+
160
+ ### Model Architecture and Objective
161
+
162
+ [More Information Needed]
163
+
164
+ ### Compute Infrastructure
165
+
166
+ [More Information Needed]
167
+
168
+ #### Hardware
169
+
170
+ [More Information Needed]
171
+
172
+ #### Software
173
+
174
+ [More Information Needed]
175
+
176
+ ## Citation [optional]
177
+
178
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
179
+
180
+ **BibTeX:**
181
+
182
+ [More Information Needed]
183
+
184
+ **APA:**
185
+
186
+ [More Information Needed]
187
+
188
+ ## Glossary [optional]
189
+
190
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
191
+
192
+ [More Information Needed]
193
+
194
+ ## More Information [optional]
195
+
196
+ [More Information Needed]
197
+
198
+ ## Model Card Authors [optional]
199
+
200
+ [More Information Needed]
201
+
202
+ ## Model Card Contact
203
+
204
+ [More Information Needed]
205
+ ### Framework versions
206
+
207
+ - PEFT 0.17.1
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+ {{- bos_token }}
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+ {%- if custom_tools is defined %}
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+ {%- set tools = custom_tools %}
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+ {%- endif %}
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+ {%- if not tools_in_user_message is defined %}
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+ {%- set tools_in_user_message = true %}
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+ {%- endif %}
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+ {%- if not date_string is defined %}
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+ {%- if strftime_now is defined %}
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+ {%- set date_string = strftime_now("%d %b %Y") %}
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+ {%- else %}
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+ {%- set date_string = "26 Jul 2024" %}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- if not tools is defined %}
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+ {%- set tools = none %}
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+ {%- endif %}
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+
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+ {#- This block extracts the system message, so we can slot it into the right place. #}
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+ {%- if messages[0]['role'] == 'system' %}
21
+ {%- set system_message = messages[0]['content']|trim %}
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+ {%- set messages = messages[1:] %}
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+ {%- else %}
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+ {%- set system_message = "" %}
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+ {%- endif %}
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+
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+ {#- System message #}
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+ {{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
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+ {%- if tools is not none %}
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+ {{- "Environment: ipython\n" }}
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+ {%- endif %}
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+ {{- "Cutting Knowledge Date: December 2023\n" }}
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+ {{- "Today Date: " + date_string + "\n\n" }}
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+ {%- if tools is not none and not tools_in_user_message %}
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+ {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
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+ {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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+ {{- "Do not use variables.\n\n" }}
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+ {%- for t in tools %}
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+ {{- t | tojson(indent=4) }}
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+ {{- "\n\n" }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- system_message }}
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+ {{- "<|eot_id|>" }}
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+
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+ {#- Custom tools are passed in a user message with some extra guidance #}
47
+ {%- if tools_in_user_message and not tools is none %}
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+ {#- Extract the first user message so we can plug it in here #}
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+ {%- if messages | length != 0 %}
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+ {%- set first_user_message = messages[0]['content']|trim %}
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+ {%- set messages = messages[1:] %}
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+ {%- else %}
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+ {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
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+ {%- endif %}
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+ {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
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+ {{- "Given the following functions, please respond with a JSON for a function call " }}
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+ {{- "with its proper arguments that best answers the given prompt.\n\n" }}
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+ {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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+ {{- "Do not use variables.\n\n" }}
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+ {%- for t in tools %}
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+ {{- t | tojson(indent=4) }}
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+ {{- "\n\n" }}
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+ {%- endfor %}
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+ {{- first_user_message + "<|eot_id|>"}}
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+ {%- endif %}
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+
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+ {%- for message in messages %}
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+ {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
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+ {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
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+ {%- elif 'tool_calls' in message %}
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+ {%- if not message.tool_calls|length == 1 %}
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+ {{- raise_exception("This model only supports single tool-calls at once!") }}
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+ {%- endif %}
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+ {%- set tool_call = message.tool_calls[0].function %}
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+ {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
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+ {{- '{"name": "' + tool_call.name + '", ' }}
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+ {{- '"parameters": ' }}
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+ {{- tool_call.arguments | tojson }}
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+ {{- "}" }}
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+ {{- "<|eot_id|>" }}
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+ {%- elif message.role == "tool" or message.role == "ipython" %}
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+ {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
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+ {%- if message.content is mapping or message.content is iterable %}
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+ {{- message.content | tojson }}
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+ {%- else %}
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+ {{- message.content }}
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+ {%- endif %}
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+ {{- "<|eot_id|>" }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- if add_generation_prompt %}
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+ {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
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+ {%- endif %}
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