End of training

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Meta-Llama-3-8B_magiccoder_default/README.md

@@ -0,0 +1,100 @@
+---
+base_model: unsloth/llama-3-8b
+library_name: peft
+license: llama3
+tags:
+- unsloth
+- generated_from_trainer
+model-index:
+- name: Meta-Llama-3-8B_magiccoder_default
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Meta-Llama-3-8B_magiccoder_default
+
+This model is a fine-tuned version of [unsloth/llama-3-8b](https://huggingface.co/unsloth/llama-3-8b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2697
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0003
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.02
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.2592        | 0.0259 | 4    | 1.4263          |
+| 1.4281        | 0.0518 | 8    | 1.4063          |
+| 1.3795        | 0.0777 | 12   | 1.3824          |
+| 1.3751        | 0.1036 | 16   | 1.3937          |
+| 1.4053        | 0.1296 | 20   | 1.3523          |
+| 1.2927        | 0.1555 | 24   | 1.3474          |
+| 1.3619        | 0.1814 | 28   | 1.3529          |
+| 1.3533        | 0.2073 | 32   | 1.3629          |
+| 1.3627        | 0.2332 | 36   | 1.3636          |
+| 1.4408        | 0.2591 | 40   | 1.3531          |
+| 1.3744        | 0.2850 | 44   | 1.3395          |
+| 1.2658        | 0.3109 | 48   | 1.3364          |
+| 1.3364        | 0.3368 | 52   | 1.3400          |
+| 1.3765        | 0.3628 | 56   | 1.3391          |
+| 1.3427        | 0.3887 | 60   | 1.3370          |
+| 1.3975        | 0.4146 | 64   | 1.3329          |
+| 1.2595        | 0.4405 | 68   | 1.3325          |
+| 1.3291        | 0.4664 | 72   | 1.3312          |
+| 1.2702        | 0.4923 | 76   | 1.3323          |
+| 1.3527        | 0.5182 | 80   | 1.3213          |
+| 1.2799        | 0.5441 | 84   | 1.3154          |
+| 1.3082        | 0.5700 | 88   | 1.3099          |
+| 1.4042        | 0.5960 | 92   | 1.3089          |
+| 1.2221        | 0.6219 | 96   | 1.3048          |
+| 1.3079        | 0.6478 | 100  | 1.3017          |
+| 1.2165        | 0.6737 | 104  | 1.2970          |
+| 1.239         | 0.6996 | 108  | 1.2941          |
+| 1.2528        | 0.7255 | 112  | 1.2877          |
+| 1.2932        | 0.7514 | 116  | 1.2859          |
+| 1.2762        | 0.7773 | 120  | 1.2804          |
+| 1.2914        | 0.8032 | 124  | 1.2791          |
+| 1.2835        | 0.8291 | 128  | 1.2755          |
+| 1.2735        | 0.8551 | 132  | 1.2731          |
+| 1.2264        | 0.8810 | 136  | 1.2722          |
+| 1.2637        | 0.9069 | 140  | 1.2713          |
+| 1.2133        | 0.9328 | 144  | 1.2704          |
+| 1.2379        | 0.9587 | 148  | 1.2699          |
+| 1.2131        | 0.9846 | 152  | 1.2697          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.44.0
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

Meta-Llama-3-8B_magiccoder_default/adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/llama-3-8b",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "k_proj",
+    "gate_proj",
+    "v_proj",
+    "down_proj",
+    "q_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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Meta-Llama-3-8B_magiccoder_default/checkpoint-148/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/llama-3-8b
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.12.0

Meta-Llama-3-8B_magiccoder_default/checkpoint-148/adapter_config.json

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+  "use_rslora": false
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Meta-Llama-3-8B_magiccoder_default/checkpoint-152/README.md

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+---
+base_model: unsloth/llama-3-8b
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
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+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
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+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
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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. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
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+
+## Training Details
+
+### Training Data
+
+<!-- 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]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
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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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+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
+
+- PEFT 0.12.0

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Meta-Llama-3-8B_magiccoder_default/checkpoint-154/README.md

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+---
+base_model: unsloth/llama-3-8b
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.12.0

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Meta-Llama-3-8B_magiccoder_default/training_args.bin

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+version https://git-lfs.github.com/spec/v1
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+size 5304

Meta-Llama-3-8B_magiccoder_ortho/README.md

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+---
+base_model: unsloth/llama-3-8b
+library_name: peft
+license: llama3
+tags:
+- unsloth
+- generated_from_trainer
+model-index:
+- name: Meta-Llama-3-8B_magiccoder_ortho
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Meta-Llama-3-8B_magiccoder_ortho
+
+This model is a fine-tuned version of [unsloth/llama-3-8b](https://huggingface.co/unsloth/llama-3-8b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2651
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0003
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.02
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.2463        | 0.0259 | 4    | 1.4033          |
+| 1.3247        | 0.0518 | 8    | 1.3322          |
+| 1.2964        | 0.0777 | 12   | 1.3196          |
+| 1.3289        | 0.1036 | 16   | 1.3224          |
+| 1.3483        | 0.1296 | 20   | 1.3100          |
+| 1.2491        | 0.1555 | 24   | 1.3194          |
+| 1.3072        | 0.1814 | 28   | 1.3144          |
+| 1.2865        | 0.2073 | 32   | 1.3123          |
+| 1.3102        | 0.2332 | 36   | 1.3171          |
+| 1.3752        | 0.2591 | 40   | 1.3158          |
+| 1.3244        | 0.2850 | 44   | 1.3114          |
+| 1.2311        | 0.3109 | 48   | 1.3118          |
+| 1.2911        | 0.3368 | 52   | 1.3135          |
+| 1.3409        | 0.3628 | 56   | 1.3079          |
+| 1.3069        | 0.3887 | 60   | 1.3043          |
+| 1.362         | 0.4146 | 64   | 1.3125          |
+| 1.2206        | 0.4405 | 68   | 1.3051          |
+| 1.2838        | 0.4664 | 72   | 1.2986          |
+| 1.2348        | 0.4923 | 76   | 1.3073          |
+| 1.3171        | 0.5182 | 80   | 1.2922          |
+| 1.2556        | 0.5441 | 84   | 1.2965          |
+| 1.2803        | 0.5700 | 88   | 1.2911          |
+| 1.3796        | 0.5960 | 92   | 1.2854          |
+| 1.2047        | 0.6219 | 96   | 1.2871          |
+| 1.2821        | 0.6478 | 100  | 1.2866          |
+| 1.2012        | 0.6737 | 104  | 1.2838          |
+| 1.2116        | 0.6996 | 108  | 1.2799          |
+| 1.23          | 0.7255 | 112  | 1.2750          |
+| 1.2679        | 0.7514 | 116  | 1.2715          |
+| 1.2573        | 0.7773 | 120  | 1.2714          |
+| 1.2802        | 0.8032 | 124  | 1.2692          |
+| 1.2772        | 0.8291 | 128  | 1.2681          |
+| 1.2594        | 0.8551 | 132  | 1.2669          |
+| 1.218         | 0.8810 | 136  | 1.2666          |
+| 1.2391        | 0.9069 | 140  | 1.2658          |
+| 1.2084        | 0.9328 | 144  | 1.2656          |
+| 1.2245        | 0.9587 | 148  | 1.2651          |
+| 1.1995        | 0.9846 | 152  | 1.2651          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.44.0
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

Meta-Llama-3-8B_magiccoder_ortho/adapter_config.json

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+  "base_model_name_or_path": "unsloth/llama-3-8b",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
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+  "lora_dropout": 0,
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+    "v_proj",
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+    "q_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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Meta-Llama-3-8B_magiccoder_ortho/checkpoint-148/README.md

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+---
+base_model: unsloth/llama-3-8b
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
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+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
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+## Uses
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+
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+
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+
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+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
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+## Training Details
+
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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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+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
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+
+#### Training Hyperparameters
+
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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).
+
+- **Hardware Type:** [More Information Needed]
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+
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+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.12.0

Meta-Llama-3-8B_magiccoder_ortho/checkpoint-148/adapter_config.json

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+  "base_model_name_or_path": "unsloth/llama-3-8b",
+  "bias": "none",
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+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
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+  "revision": null,
+  "target_modules": [
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+    "k_proj",
+    "gate_proj",
+    "v_proj",
+    "down_proj",
+    "q_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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