PEFT
Safetensors
llama-factory
lora
Generated from Trainer
Michael Luo commited on
Commit
5023da5
·
1 Parent(s): ffdc142

Remove prior checkpoints

Browse files
Files changed (44) hide show
  1. checkpoint-2000/README.md +0 -202
  2. checkpoint-2000/adapter_config.json +0 -34
  3. checkpoint-2000/adapter_model.safetensors +0 -3
  4. checkpoint-2000/added_tokens.json +0 -28
  5. checkpoint-2000/merges.txt +0 -0
  6. checkpoint-2000/special_tokens_map.json +0 -31
  7. checkpoint-2000/tokenizer.json +0 -3
  8. checkpoint-2000/tokenizer_config.json +0 -241
  9. checkpoint-2000/trainer_state.json +0 -0
  10. checkpoint-2000/training_args.bin +0 -3
  11. checkpoint-2000/vocab.json +0 -0
  12. checkpoint-4000/README.md +0 -202
  13. checkpoint-4000/adapter_config.json +0 -34
  14. checkpoint-4000/adapter_model.safetensors +0 -3
  15. checkpoint-4000/added_tokens.json +0 -28
  16. checkpoint-4000/merges.txt +0 -0
  17. checkpoint-4000/special_tokens_map.json +0 -31
  18. checkpoint-4000/tokenizer.json +0 -3
  19. checkpoint-4000/tokenizer_config.json +0 -241
  20. checkpoint-4000/trainer_state.json +0 -0
  21. checkpoint-4000/training_args.bin +0 -3
  22. checkpoint-4000/vocab.json +0 -0
  23. checkpoint-6000/README.md +0 -202
  24. checkpoint-6000/adapter_config.json +0 -34
  25. checkpoint-6000/adapter_model.safetensors +0 -3
  26. checkpoint-6000/added_tokens.json +0 -28
  27. checkpoint-6000/merges.txt +0 -0
  28. checkpoint-6000/special_tokens_map.json +0 -31
  29. checkpoint-6000/tokenizer.json +0 -3
  30. checkpoint-6000/tokenizer_config.json +0 -241
  31. checkpoint-6000/trainer_state.json +0 -0
  32. checkpoint-6000/training_args.bin +0 -3
  33. checkpoint-6000/vocab.json +0 -0
  34. checkpoint-7532/README.md +0 -202
  35. checkpoint-7532/adapter_config.json +0 -34
  36. checkpoint-7532/adapter_model.safetensors +0 -3
  37. checkpoint-7532/added_tokens.json +0 -28
  38. checkpoint-7532/merges.txt +0 -0
  39. checkpoint-7532/special_tokens_map.json +0 -31
  40. checkpoint-7532/tokenizer.json +0 -3
  41. checkpoint-7532/tokenizer_config.json +0 -241
  42. checkpoint-7532/trainer_state.json +0 -0
  43. checkpoint-7532/training_args.bin +0 -3
  44. checkpoint-7532/vocab.json +0 -0
checkpoint-2000/README.md DELETED
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- ---
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- base_model: Qwen/Qwen3-14B
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- library_name: peft
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- ---
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- # Model Card for Model ID
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- ### Model Description
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- - **Model type:** [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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- ### Model Sources [optional]
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- ## Uses
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- ## Bias, Risks, and 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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- ## 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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- ### Training Procedure
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- #### Preprocessing [optional]
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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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- ## Evaluation
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- #### Metrics
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- ### Results
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- ## Model Examination [optional]
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- ## Environmental Impact
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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- ## Model Card Contact
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- ### Framework versions
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- - PEFT 0.12.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ---
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- base_model: Qwen/Qwen3-14B
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- ## How to Get Started with the Model
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- ### Framework versions
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- - PEFT 0.12.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ---
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- base_model: Qwen/Qwen3-14B
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- library_name: peft
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- ---
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-
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- # Model Card for Model ID
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- ## Model Details
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- ### Model Description
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- ## Uses
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- ### Direct Use
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- ### Out-of-Scope Use
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- [More Information Needed]
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- ## Bias, Risks, and Limitations
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- ### Recommendations
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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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- ## 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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- ## Training Details
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- ### Training Data
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- ### Training Procedure
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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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- ### Framework versions
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- - PEFT 0.12.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ---
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- ---
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6
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8
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14
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- - **Developed by:** [More Information Needed]
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- ## How to Get Started with the Model
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- ### Framework versions
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- - PEFT 0.12.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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