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Browse files- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/README.md +0 -202
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/adapter_config.json +0 -36
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/adapter_model.safetensors +0 -3
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/README.md +0 -202
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/adapter_config.json +0 -36
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/adapter_model.safetensors +0 -3
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/optimizer.pt +0 -3
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/rng_state.pth +0 -3
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/scheduler.pt +0 -3
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/special_tokens_map.json +0 -30
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/tokenizer.json +0 -0
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/tokenizer_config.json +0 -44
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/trainer_state.json +0 -78
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/training_args.bin +0 -3
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-351/README.md +0 -202
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-351/adapter_config.json +0 -36
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-351/adapter_model.safetensors +0 -3
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-351/optimizer.pt +0 -3
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-351/rng_state.pth +0 -3
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-351/scheduler.pt +0 -3
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-351/special_tokens_map.json +0 -30
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-351/tokenizer.json +0 -0
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-351/tokenizer_config.json +0 -44
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-351/trainer_state.json +0 -107
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-351/training_args.bin +0 -3
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/special_tokens_map.json +0 -30
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/tokenizer.json +0 -0
- lora_persona_1-20251120T233224Z-1-001/lora_persona_1/tokenizer_config.json +0 -44
lora_persona_1-20251120T233224Z-1-001/lora_persona_1/README.md
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---
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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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 Details
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### Model Description
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- **Developed by:** [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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### Model Sources [optional]
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## Uses
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### Direct Use
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[More Information Needed]
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### Downstream Use [optional]
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[More Information Needed]
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### Out-of-Scope Use
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## Bias, Risks, and Limitations
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[More Information Needed]
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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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[More Information Needed]
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## Training Details
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### Training Data
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[More Information Needed]
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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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### Testing Data, Factors & Metrics
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#### Testing Data
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#### Factors
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#### Metrics
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### Results
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#### Summary
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## Model Examination [optional]
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## Environmental Impact
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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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## Technical Specifications [optional]
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### Model Architecture and Objective
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### Compute Infrastructure
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#### Hardware
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#### Software
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## Citation [optional]
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**BibTeX:**
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[More Information Needed]
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**APA:**
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## Glossary [optional]
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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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### Framework versions
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- PEFT 0.15.1
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lora_persona_1-20251120T233224Z-1-001/lora_persona_1/adapter_config.json
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"alpha_pattern": {},
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"base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"loftq_config": {},
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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version https://git-lfs.github.com/spec/v1
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oid sha256:54b2608f0fdffd644f81fdf2c1fba3a47107bd74dda41fc9cbd3d75bb6144bc2
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size 9034304
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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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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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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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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## 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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### 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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### 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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| 58 |
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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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## 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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[More Information Needed]
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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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[More Information Needed]
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### Results
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[More Information Needed]
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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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[More Information Needed]
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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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| 152 |
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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| 173 |
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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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| 182 |
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| 183 |
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## Glossary [optional]
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| 184 |
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| 185 |
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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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| 186 |
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[More Information Needed]
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| 188 |
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| 189 |
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## More Information [optional]
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| 190 |
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[More Information Needed]
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| 192 |
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| 193 |
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## Model Card Authors [optional]
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| 194 |
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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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- PEFT 0.15.1
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lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/adapter_config.json
DELETED
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@@ -1,36 +0,0 @@
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{
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| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": null,
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| 4 |
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"base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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| 10 |
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"inference_mode": true,
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"init_lora_weights": true,
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| 12 |
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"layer_replication": null,
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"layers_pattern": null,
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| 14 |
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"layers_to_transform": null,
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| 15 |
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"loftq_config": {},
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| 16 |
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"lora_alpha": 16,
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"lora_bias": false,
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| 18 |
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"lora_dropout": 0.05,
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| 19 |
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"megatron_config": null,
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| 20 |
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"megatron_core": "megatron.core",
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| 21 |
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"modules_to_save": null,
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| 22 |
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"peft_type": "LORA",
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| 23 |
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"r": 8,
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| 24 |
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"rank_pattern": {},
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| 25 |
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"revision": null,
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| 26 |
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"target_modules": [
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| 27 |
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"q_proj",
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| 28 |
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"k_proj",
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"v_proj",
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| 30 |
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"o_proj"
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| 31 |
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],
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| 32 |
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"task_type": "CAUSAL_LM",
|
| 33 |
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"trainable_token_indices": null,
|
| 34 |
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"use_dora": false,
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| 35 |
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"use_rslora": false
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}
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lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/rng_state.pth
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lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/special_tokens_map.json
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{
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| 2 |
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"content": "</s>",
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"normalized": false,
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"single_word": false
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"unk_token": {
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lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/tokenizer_config.json
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lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/trainer_state.json
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lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-234/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:13c88298a837447badf702e3ecb8b3aa3bde84f7d4aa9fbfbb36fa2a1f2d801f
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size 5304
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lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-351/README.md
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---
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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| 3 |
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library_name: peft
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| 4 |
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---
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| 5 |
-
|
| 6 |
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# Model Card for Model ID
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| 7 |
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| 8 |
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<!-- Provide a quick summary of what the model is/does. -->
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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## Model Details
|
| 13 |
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| 14 |
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### Model Description
|
| 15 |
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| 16 |
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<!-- Provide a longer summary of what this model is. -->
|
| 17 |
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| 18 |
-
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| 19 |
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| 20 |
-
- **Developed by:** [More Information Needed]
|
| 21 |
-
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
-
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
-
- **Model type:** [More Information Needed]
|
| 24 |
-
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
-
- **License:** [More Information Needed]
|
| 26 |
-
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
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|
| 28 |
-
### Model Sources [optional]
|
| 29 |
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|
| 30 |
-
<!-- Provide the basic links for the model. -->
|
| 31 |
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| 32 |
-
- **Repository:** [More Information Needed]
|
| 33 |
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- **Paper [optional]:** [More Information Needed]
|
| 34 |
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- **Demo [optional]:** [More Information Needed]
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| 35 |
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|
| 36 |
-
## Uses
|
| 37 |
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|
| 38 |
-
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
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| 40 |
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### Direct Use
|
| 41 |
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|
| 42 |
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| 43 |
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| 44 |
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[More Information Needed]
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| 45 |
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| 46 |
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### Downstream Use [optional]
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| 47 |
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| 48 |
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|
| 49 |
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|
| 50 |
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[More Information Needed]
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| 52 |
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### Out-of-Scope Use
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| 53 |
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| 55 |
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| 56 |
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[More Information Needed]
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| 57 |
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| 58 |
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## Bias, Risks, and Limitations
|
| 59 |
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| 60 |
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
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|
| 62 |
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[More Information Needed]
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| 64 |
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### Recommendations
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| 65 |
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| 66 |
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| 67 |
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|
| 68 |
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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.
|
| 69 |
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|
| 70 |
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## How to Get Started with the Model
|
| 71 |
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|
| 72 |
-
Use the code below to get started with the model.
|
| 73 |
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|
| 74 |
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[More Information Needed]
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| 75 |
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| 76 |
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## Training Details
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| 77 |
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| 78 |
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### Training Data
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| 79 |
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| 80 |
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| 81 |
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| 82 |
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[More Information Needed]
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| 83 |
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| 84 |
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### Training Procedure
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| 85 |
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|
| 86 |
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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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| 87 |
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| 88 |
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#### Preprocessing [optional]
|
| 89 |
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|
| 90 |
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[More Information Needed]
|
| 91 |
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| 92 |
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|
| 93 |
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#### Training Hyperparameters
|
| 94 |
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|
| 95 |
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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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| 97 |
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| 100 |
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| 101 |
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[More Information Needed]
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| 102 |
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| 103 |
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## Evaluation
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| 104 |
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| 105 |
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<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
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| 107 |
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### Testing Data, Factors & Metrics
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| 108 |
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|
| 109 |
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#### Testing Data
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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[More Information Needed]
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| 115 |
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#### Factors
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| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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[More Information Needed]
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| 120 |
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| 121 |
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#### Metrics
|
| 122 |
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| 123 |
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|
| 124 |
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|
| 125 |
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[More Information Needed]
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| 126 |
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| 127 |
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### Results
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| 128 |
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| 129 |
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[More Information Needed]
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| 130 |
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|
| 131 |
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#### Summary
|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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## Model Examination [optional]
|
| 136 |
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|
| 137 |
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<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
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|
| 139 |
-
[More Information Needed]
|
| 140 |
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| 141 |
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## Environmental Impact
|
| 142 |
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|
| 143 |
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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 -->
|
| 144 |
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|
| 145 |
-
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).
|
| 146 |
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| 147 |
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- **Hardware Type:** [More Information Needed]
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| 148 |
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- **Hours used:** [More Information Needed]
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| 149 |
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- **Cloud Provider:** [More Information Needed]
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| 150 |
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- **Compute Region:** [More Information Needed]
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| 151 |
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- **Carbon Emitted:** [More Information Needed]
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| 152 |
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|
| 153 |
-
## Technical Specifications [optional]
|
| 154 |
-
|
| 155 |
-
### Model Architecture and Objective
|
| 156 |
-
|
| 157 |
-
[More Information Needed]
|
| 158 |
-
|
| 159 |
-
### Compute Infrastructure
|
| 160 |
-
|
| 161 |
-
[More Information Needed]
|
| 162 |
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|
| 163 |
-
#### Hardware
|
| 164 |
-
|
| 165 |
-
[More Information Needed]
|
| 166 |
-
|
| 167 |
-
#### Software
|
| 168 |
-
|
| 169 |
-
[More Information Needed]
|
| 170 |
-
|
| 171 |
-
## Citation [optional]
|
| 172 |
-
|
| 173 |
-
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
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|
| 175 |
-
**BibTeX:**
|
| 176 |
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|
| 177 |
-
[More Information Needed]
|
| 178 |
-
|
| 179 |
-
**APA:**
|
| 180 |
-
|
| 181 |
-
[More Information Needed]
|
| 182 |
-
|
| 183 |
-
## Glossary [optional]
|
| 184 |
-
|
| 185 |
-
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
-
|
| 187 |
-
[More Information Needed]
|
| 188 |
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|
| 189 |
-
## More Information [optional]
|
| 190 |
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| 191 |
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[More Information Needed]
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| 192 |
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| 193 |
-
## Model Card Authors [optional]
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| 194 |
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| 195 |
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[More Information Needed]
|
| 196 |
-
|
| 197 |
-
## Model Card Contact
|
| 198 |
-
|
| 199 |
-
[More Information Needed]
|
| 200 |
-
### Framework versions
|
| 201 |
-
|
| 202 |
-
- PEFT 0.15.1
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lora_persona_1-20251120T233224Z-1-001/lora_persona_1/checkpoint-351/training_args.bin
DELETED
|
@@ -1,3 +0,0 @@
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| 1 |
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lora_persona_1-20251120T233224Z-1-001/lora_persona_1/special_tokens_map.json
DELETED
|
@@ -1,30 +0,0 @@
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| 1 |
-
{
|
| 2 |
-
"bos_token": {
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| 17 |
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| 22 |
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| 24 |
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|
| 25 |
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| 26 |
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|
| 27 |
-
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|
| 28 |
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|
| 29 |
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lora_persona_1-20251120T233224Z-1-001/lora_persona_1/tokenizer.json
DELETED
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The diff for this file is too large to render.
See raw diff
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|
lora_persona_1-20251120T233224Z-1-001/lora_persona_1/tokenizer_config.json
DELETED
|
@@ -1,44 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
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|
| 3 |
-
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|
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| 6 |
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| 7 |
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| 8 |
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| 9 |
-
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| 10 |
-
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|
| 11 |
-
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|
| 12 |
-
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|
| 13 |
-
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|
| 14 |
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|
| 15 |
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| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 20 |
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|
| 21 |
-
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| 22 |
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|
| 23 |
-
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
-
"special": true
|
| 29 |
-
}
|
| 30 |
-
},
|
| 31 |
-
"bos_token": "<s>",
|
| 32 |
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
| 33 |
-
"clean_up_tokenization_spaces": false,
|
| 34 |
-
"eos_token": "</s>",
|
| 35 |
-
"extra_special_tokens": {},
|
| 36 |
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|
| 37 |
-
"model_max_length": 2048,
|
| 38 |
-
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| 39 |
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"padding_side": "right",
|
| 40 |
-
"sp_model_kwargs": {},
|
| 41 |
-
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|
| 42 |
-
"unk_token": "<unk>",
|
| 43 |
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"use_default_system_prompt": false
|
| 44 |
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