Delete Phi3ForCausalLM/size=64
Browse files- Phi3ForCausalLM/size=64/base/config.json +0 -36
- Phi3ForCausalLM/size=64/base/generation_config.json +0 -11
- Phi3ForCausalLM/size=64/base/model.safetensors +0 -3
- Phi3ForCausalLM/size=64/base/special_tokens_map.json +0 -30
- Phi3ForCausalLM/size=64/base/tokenizer.json +0 -0
- Phi3ForCausalLM/size=64/base/tokenizer.model +0 -3
- Phi3ForCausalLM/size=64/base/tokenizer_config.json +0 -131
- Phi3ForCausalLM/size=64/base/training_args.bin +0 -3
- Phi3ForCausalLM/size=64/lora/README.md +0 -202
- Phi3ForCausalLM/size=64/lora/adapter_config.json +0 -34
- Phi3ForCausalLM/size=64/lora/adapter_model.safetensors +0 -3
- Phi3ForCausalLM/size=64/lora/special_tokens_map.json +0 -30
- Phi3ForCausalLM/size=64/lora/tokenizer.json +0 -0
- Phi3ForCausalLM/size=64/lora/tokenizer_config.json +0 -131
- Phi3ForCausalLM/size=64/lora/training_args.bin +0 -3
Phi3ForCausalLM/size=64/base/config.json
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{
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"_name_or_path": "models/Phi3ForCausalLM_size=64/base_untrained",
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Phi3ForCausalLM/size=64/base/generation_config.json
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Phi3ForCausalLM/size=64/base/model.safetensors
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Phi3ForCausalLM/size=64/base/tokenizer.json
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Phi3ForCausalLM/size=64/base/tokenizer.model
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Phi3ForCausalLM/size=64/base/tokenizer_config.json
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Phi3ForCausalLM/size=64/base/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b496b99678f490a1da05b51f8628f602e8755f45ac32d5685f77bb40db7875c9
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size 5240
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Phi3ForCausalLM/size=64/lora/README.md
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---
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base_model: models/Phi3ForCausalLM_size=64/base
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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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- **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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- **Repository:** [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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[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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## 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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[More Information Needed]
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### 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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[More Information Needed]
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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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<!-- 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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## 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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#### 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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[More Information Needed]
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## Glossary [optional]
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[More Information Needed]
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|
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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### Framework versions
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- PEFT 0.12.0
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Phi3ForCausalLM/size=64/lora/adapter_config.json
DELETED
@@ -1,34 +0,0 @@
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{
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"alpha_pattern": {},
|
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"auto_mapping": null,
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"base_model_name_or_path": "models/Phi3ForCausalLM_size=64/base",
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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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"init_lora_weights": true,
|
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"layer_replication": null,
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"layers_pattern": null,
|
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"loftq_config": {},
|
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"lora_alpha": 64,
|
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"lora_dropout": 0.05,
|
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"megatron_config": null,
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"megatron_core": "megatron.core",
|
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"modules_to_save": null,
|
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"peft_type": "LORA",
|
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"r": 32,
|
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"rank_pattern": {},
|
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"revision": null,
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"target_modules": [
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"k_proj",
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Phi3ForCausalLM/size=64/lora/adapter_model.safetensors
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Phi3ForCausalLM/size=64/lora/tokenizer.json
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Phi3ForCausalLM/size=64/lora/tokenizer_config.json
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|
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|
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|
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Phi3ForCausalLM/size=64/lora/training_args.bin
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