Add files using upload-large-folder tool
Browse files- .gitattributes +1 -0
- qwen3-4b-instruct/dp8/adapter/README.md +207 -0
- qwen3-4b-instruct/dp8/adapter/adapter_config.json +46 -0
- qwen3-4b-instruct/dp8/adapter/adapter_model.safetensors +3 -0
- qwen3-4b-instruct/dp8/audit_results.json +137 -0
- qwen3-4b-instruct/dp8/audit_scores.npz +3 -0
- qwen3-4b-instruct/dp8/canary_meta.json +0 -0
- qwen3-4b-instruct/dp8/codecarbon.csv +2 -0
- qwen3-4b-instruct/dp8/epochs/epoch_001/adapter/README.md +207 -0
- qwen3-4b-instruct/dp8/epochs/epoch_001/adapter/adapter_config.json +46 -0
- qwen3-4b-instruct/dp8/epochs/epoch_001/adapter/adapter_model.safetensors +3 -0
- qwen3-4b-instruct/dp8/epochs/epoch_001/audit_results.json +137 -0
- qwen3-4b-instruct/dp8/epochs/epoch_001/audit_scores.npz +3 -0
- qwen3-4b-instruct/dp8/epochs/epoch_002/adapter/README.md +207 -0
- qwen3-4b-instruct/dp8/epochs/epoch_002/adapter/adapter_config.json +46 -0
- qwen3-4b-instruct/dp8/epochs/epoch_002/adapter/adapter_model.safetensors +3 -0
- qwen3-4b-instruct/dp8/epochs/epoch_002/audit_results.json +137 -0
- qwen3-4b-instruct/dp8/epochs/epoch_002/audit_scores.npz +3 -0
- qwen3-4b-instruct/dp8/metrics.jsonl +27 -0
- qwen3-4b-instruct/dp8/pretrain_lm_head.pt +3 -0
- qwen3-4b-instruct/dp8/resolved_config.yaml +101 -0
- qwen3-4b-instruct/dp8/scalars.csv +358 -0
- qwen3-4b-instruct/dp8/summary.json +72 -0
- qwen3-4b-instruct/dp8/tensorboard/events.out.tfevents.1773764448.7b654b6988b0.41500.0 +3 -0
- qwen3-4b-instruct/dp8/tokenizer/chat_template.jinja +61 -0
- qwen3-4b-instruct/dp8/tokenizer/tokenizer.json +3 -0
- qwen3-4b-instruct/dp8/tokenizer/tokenizer_config.json +516 -0
- qwen3-4b-instruct/dp8/train.log +21 -0
.gitattributes
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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qwen3-4b-instruct/base/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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qwen3-4b-instruct/base/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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qwen3-4b-instruct/dp8/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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qwen3-4b-instruct/dp8/adapter/README.md
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| 1 |
+
---
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| 2 |
+
base_model: Qwen/Qwen3-4B-Instruct-2507
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| 3 |
+
library_name: peft
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| 4 |
+
pipeline_tag: text-generation
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tags:
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- base_model:adapter:Qwen/Qwen3-4B-Instruct-2507
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- lora
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| 8 |
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- transformers
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| 9 |
+
---
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| 10 |
+
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| 11 |
+
# Model Card for Model ID
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| 12 |
+
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| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
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| 14 |
+
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| 15 |
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+
## Model Details
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| 18 |
+
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| 19 |
+
### Model Description
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| 20 |
+
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+
<!-- Provide a longer summary of what this model is. -->
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| 22 |
+
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| 23 |
+
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| 24 |
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| 25 |
+
- **Developed by:** [More Information Needed]
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| 26 |
+
- **Funded by [optional]:** [More Information Needed]
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| 27 |
+
- **Shared by [optional]:** [More Information Needed]
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| 28 |
+
- **Model type:** [More Information Needed]
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| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 30 |
+
- **License:** [More Information Needed]
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| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
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| 32 |
+
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| 33 |
+
### Model Sources [optional]
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| 34 |
+
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| 35 |
+
<!-- Provide the basic links for the model. -->
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| 36 |
+
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| 37 |
+
- **Repository:** [More Information Needed]
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| 38 |
+
- **Paper [optional]:** [More Information Needed]
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| 39 |
+
- **Demo [optional]:** [More Information Needed]
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| 40 |
+
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| 41 |
+
## Uses
|
| 42 |
+
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| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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| 44 |
+
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| 45 |
+
### Direct Use
|
| 46 |
+
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| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
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| 49 |
+
[More Information Needed]
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| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
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| 53 |
+
<!-- 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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| 54 |
+
|
| 55 |
+
[More Information Needed]
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| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
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| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
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| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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| 66 |
+
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| 67 |
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[More Information Needed]
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| 68 |
+
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| 69 |
+
### Recommendations
|
| 70 |
+
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| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
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| 73 |
+
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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| 74 |
+
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| 75 |
+
## How to Get Started with the Model
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| 76 |
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| 77 |
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Use the code below to get started with the model.
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| 78 |
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| 79 |
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[More Information Needed]
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| 80 |
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| 81 |
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## Training Details
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| 82 |
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| 83 |
+
### Training Data
|
| 84 |
+
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| 85 |
+
<!-- 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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| 86 |
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[More Information Needed]
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| 88 |
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### Training Procedure
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| 90 |
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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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| 92 |
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#### Preprocessing [optional]
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| 94 |
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[More Information Needed]
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| 96 |
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| 97 |
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| 98 |
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#### Training Hyperparameters
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| 99 |
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| 100 |
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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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| 101 |
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| 102 |
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#### Speeds, Sizes, Times [optional]
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| 103 |
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| 104 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 105 |
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| 106 |
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[More Information Needed]
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| 107 |
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| 108 |
+
## Evaluation
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| 109 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 111 |
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| 112 |
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### Testing Data, Factors & Metrics
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| 113 |
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| 114 |
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#### Testing Data
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| 115 |
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| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
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| 117 |
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| 118 |
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[More Information Needed]
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| 119 |
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| 120 |
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#### Factors
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| 121 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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| 123 |
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| 124 |
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[More Information Needed]
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| 125 |
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| 126 |
+
#### Metrics
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| 127 |
+
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| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 129 |
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[More Information Needed]
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| 132 |
+
### Results
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| 133 |
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| 134 |
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[More Information Needed]
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| 135 |
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| 136 |
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#### Summary
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| 137 |
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| 138 |
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| 139 |
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## Model Examination [optional]
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| 141 |
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| 142 |
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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| 145 |
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| 146 |
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## Environmental Impact
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| 147 |
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| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
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| 150 |
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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).
|
| 151 |
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| 152 |
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- **Hardware Type:** [More Information Needed]
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| 153 |
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- **Hours used:** [More Information Needed]
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| 154 |
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- **Cloud Provider:** [More Information Needed]
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| 155 |
+
- **Compute Region:** [More Information Needed]
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| 156 |
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- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
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| 158 |
+
## Technical Specifications [optional]
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| 159 |
+
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| 160 |
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### Model Architecture and Objective
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| 161 |
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| 162 |
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[More Information Needed]
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| 163 |
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| 164 |
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### Compute Infrastructure
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| 165 |
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[More Information Needed]
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| 167 |
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| 168 |
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#### Hardware
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| 169 |
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[More Information Needed]
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| 171 |
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#### Software
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| 173 |
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[More Information Needed]
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| 175 |
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## Citation [optional]
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| 177 |
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| 178 |
+
<!-- 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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| 179 |
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**BibTeX:**
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| 181 |
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[More Information Needed]
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| 183 |
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| 184 |
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**APA:**
|
| 185 |
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| 186 |
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[More Information Needed]
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| 187 |
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|
| 188 |
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## Glossary [optional]
|
| 189 |
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| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
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| 192 |
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[More Information Needed]
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| 193 |
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| 194 |
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## More Information [optional]
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| 195 |
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| 196 |
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[More Information Needed]
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| 197 |
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| 198 |
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## Model Card Authors [optional]
|
| 199 |
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| 200 |
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[More Information Needed]
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| 201 |
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| 202 |
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## Model Card Contact
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| 203 |
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| 204 |
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[More Information Needed]
|
| 205 |
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### Framework versions
|
| 206 |
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| 207 |
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- PEFT 0.18.1
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qwen3-4b-instruct/dp8/adapter/adapter_config.json
ADDED
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@@ -0,0 +1,46 @@
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{
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| 2 |
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"alora_invocation_tokens": null,
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| 3 |
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"alpha_pattern": {},
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| 4 |
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"arrow_config": null,
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| 5 |
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"auto_mapping": null,
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| 6 |
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"base_model_name_or_path": "Qwen/Qwen3-4B-Instruct-2507",
|
| 7 |
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"bias": "none",
|
| 8 |
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"corda_config": null,
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| 9 |
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"ensure_weight_tying": true,
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| 10 |
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"eva_config": null,
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| 11 |
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"exclude_modules": null,
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| 12 |
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"fan_in_fan_out": false,
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| 13 |
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"inference_mode": true,
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| 14 |
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"init_lora_weights": true,
|
| 15 |
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"layer_replication": null,
|
| 16 |
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"layers_pattern": null,
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| 17 |
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"layers_to_transform": null,
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| 18 |
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"loftq_config": {},
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| 19 |
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"lora_alpha": 32,
|
| 20 |
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"lora_bias": false,
|
| 21 |
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"lora_dropout": 0.05,
|
| 22 |
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"megatron_config": null,
|
| 23 |
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"megatron_core": "megatron.core",
|
| 24 |
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"modules_to_save": [
|
| 25 |
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"lm_head",
|
| 26 |
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"embed_tokens"
|
| 27 |
+
],
|
| 28 |
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"peft_type": "LORA",
|
| 29 |
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"peft_version": "0.18.1",
|
| 30 |
+
"qalora_group_size": 16,
|
| 31 |
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"r": 16,
|
| 32 |
+
"rank_pattern": {},
|
| 33 |
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"revision": null,
|
| 34 |
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"target_modules": [
|
| 35 |
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"k_proj",
|
| 36 |
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"v_proj",
|
| 37 |
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"q_proj",
|
| 38 |
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"o_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
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"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
qwen3-4b-instruct/dp8/adapter/adapter_model.safetensors
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:19061f24801c4d66921418e3cb1135de75978cb4d228db814b0755fbaada6bc4
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| 3 |
+
size 4721857072
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qwen3-4b-instruct/dp8/audit_results.json
ADDED
|
@@ -0,0 +1,137 @@
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| 1 |
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{
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| 2 |
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"delta": 1e-05,
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"num_canaries": 500,
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"direction": "lower"
|
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|
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}
|
| 136 |
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}
|
| 137 |
+
}
|
qwen3-4b-instruct/dp8/audit_scores.npz
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:126c74d41f98d08626da6ca1f818fce7bb97a1b2a1dad6827e8baa20288a484f
|
| 3 |
+
size 12784
|
qwen3-4b-instruct/dp8/canary_meta.json
ADDED
|
The diff for this file is too large to render.
See raw diff
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qwen3-4b-instruct/dp8/codecarbon.csv
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
timestamp,project_name,run_id,experiment_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,water_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,cpu_utilization_percent,gpu_utilization_percent,ram_utilization_percent,ram_used_gb,on_cloud,pue,wue
|
| 2 |
+
2026-03-17T17:05:44,codedp-qwen3-4b-instruct-cpt-dp8,2b4560e3-78e0-4790-b542-38dc1a784383,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,2693.6014373912476,0.09826528580395394,3.648100436830916e-05,72.03163066573623,3108.4298352234105,54.0,0.051919376660011826,2.3238466076869315,0.03891114561875117,2.414677129965695,0.0,Sweden,SWE,östergötland county,,,Linux-6.8.0-94-generic-x86_64-with-glibc2.39,3.11.0,3.2.3,256,AMD EPYC 9554 64-Core Processor,8,8 x NVIDIA H200,16.1885,58.594,1511.49019241333,machine,3.719566840926081,83.2715646004481,5.423711725167903,82.01636290603649,N,1.0,0.0
|
qwen3-4b-instruct/dp8/epochs/epoch_001/adapter/README.md
ADDED
|
@@ -0,0 +1,207 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen3-4B-Instruct-2507
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen3-4B-Instruct-2507
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.18.1
|
qwen3-4b-instruct/dp8/epochs/epoch_001/adapter/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen3-4B-Instruct-2507",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": true,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": [
|
| 25 |
+
"lm_head",
|
| 26 |
+
"embed_tokens"
|
| 27 |
+
],
|
| 28 |
+
"peft_type": "LORA",
|
| 29 |
+
"peft_version": "0.18.1",
|
| 30 |
+
"qalora_group_size": 16,
|
| 31 |
+
"r": 16,
|
| 32 |
+
"rank_pattern": {},
|
| 33 |
+
"revision": null,
|
| 34 |
+
"target_modules": [
|
| 35 |
+
"k_proj",
|
| 36 |
+
"v_proj",
|
| 37 |
+
"q_proj",
|
| 38 |
+
"o_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
qwen3-4b-instruct/dp8/epochs/epoch_001/adapter/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b93a52a9ec5792a1c961bcf1a280df58fe64e837ff061ecca5e022aacaaaa07a
|
| 3 |
+
size 4721857072
|
qwen3-4b-instruct/dp8/epochs/epoch_001/audit_results.json
ADDED
|
@@ -0,0 +1,137 @@
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|
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|
|
|
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|
|
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{
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|
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|
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|
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|
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}
|
qwen3-4b-instruct/dp8/epochs/epoch_001/audit_scores.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:da624cffb9a22496e27c1ea983a7a58ba6d30e9c7f48429125a4c2c7801f61f2
|
| 3 |
+
size 12784
|
qwen3-4b-instruct/dp8/epochs/epoch_002/adapter/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
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|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen3-4B-Instruct-2507
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen3-4B-Instruct-2507
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- 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. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.18.1
|
qwen3-4b-instruct/dp8/epochs/epoch_002/adapter/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
|
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|
|
|
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|
|
|
|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen3-4B-Instruct-2507",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": true,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": [
|
| 25 |
+
"lm_head",
|
| 26 |
+
"embed_tokens"
|
| 27 |
+
],
|
| 28 |
+
"peft_type": "LORA",
|
| 29 |
+
"peft_version": "0.18.1",
|
| 30 |
+
"qalora_group_size": 16,
|
| 31 |
+
"r": 16,
|
| 32 |
+
"rank_pattern": {},
|
| 33 |
+
"revision": null,
|
| 34 |
+
"target_modules": [
|
| 35 |
+
"k_proj",
|
| 36 |
+
"v_proj",
|
| 37 |
+
"q_proj",
|
| 38 |
+
"o_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
qwen3-4b-instruct/dp8/epochs/epoch_002/adapter/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:19061f24801c4d66921418e3cb1135de75978cb4d228db814b0755fbaada6bc4
|
| 3 |
+
size 4721857072
|
qwen3-4b-instruct/dp8/epochs/epoch_002/audit_results.json
ADDED
|
@@ -0,0 +1,137 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
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|
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|
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|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"delta": 1e-05,
|
| 3 |
+
"num_canaries": 500,
|
| 4 |
+
"num_members": 250,
|
| 5 |
+
"paper_guess_fraction": 0.2,
|
| 6 |
+
"paper_guess_steps": 20,
|
| 7 |
+
"loss": {
|
| 8 |
+
"auc": 0.515088,
|
| 9 |
+
"empirical_epsilon": {
|
| 10 |
+
"0.05": 0.0,
|
| 11 |
+
"0.01": 0.0
|
| 12 |
+
},
|
| 13 |
+
"empirical_epsilon_details": {
|
| 14 |
+
"0.05": {
|
| 15 |
+
"epsilon": 0.0,
|
| 16 |
+
"num_guesses": 0,
|
| 17 |
+
"correct_guesses": 0,
|
| 18 |
+
"candidate_num_guesses": [
|
| 19 |
+
5,
|
| 20 |
+
10,
|
| 21 |
+
15,
|
| 22 |
+
20,
|
| 23 |
+
25,
|
| 24 |
+
30,
|
| 25 |
+
35,
|
| 26 |
+
40,
|
| 27 |
+
45,
|
| 28 |
+
50,
|
| 29 |
+
55,
|
| 30 |
+
60,
|
| 31 |
+
65,
|
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| 24 |
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{"timestamp": 1773767117.390551, "event": "train_epoch", "step": 186, "epoch": 2, "metrics": {"train/epoch_loss": 1.5804422382361127, "train/epoch_real_loss": 1.005713254121899, "train/epoch_canary_loss": 13.023172873210777, "perf/epoch_duration_sec": 1272.894041202031, "perf/epoch_samples_per_sec": 38.91918604098259, "perf/epoch_tokens_per_sec": 29671.033705472055, "perf/epoch_samples": 49540.0, "perf/epoch_tokens": 37768082.0, "system/cuda_epoch_peak_memory_gb": 86.22137594223022, "eval/loss": 0.924621483645378, "eval/duration_sec": 12.757435038685799, "privacy/epsilon": 7.996749609735891}}
|
| 25 |
+
{"timestamp": 1773767130.595887, "event": "audit_epoch", "step": 186, "epoch": 2, "metrics": {"audit/delta": 1e-05, "audit/num_canaries": 500.0, "audit/num_members": 250.0, "audit/paper_guess_fraction": 0.2, "audit/paper_guess_steps": 20.0, "audit/loss/auc": 0.515088, "audit/loss/empirical_epsilon/0.05": 0.0, "audit/loss/empirical_epsilon/0.01": 0.0, "audit/loss/empirical_epsilon_details/0.05/epsilon": 0.0, "audit/loss/empirical_epsilon_details/0.05/num_guesses": 0.0, "audit/loss/empirical_epsilon_details/0.05/correct_guesses": 0.0, "audit/loss/empirical_epsilon_details/0.01/epsilon": 0.0, "audit/loss/empirical_epsilon_details/0.01/num_guesses": 0.0, "audit/loss/empirical_epsilon_details/0.01/correct_guesses": 0.0, "audit/embedding/auc": 0.516208, "audit/embedding/empirical_epsilon/0.05": 0.0, "audit/embedding/empirical_epsilon/0.01": 0.0, "audit/embedding/empirical_epsilon_details/0.05/epsilon": 0.0, "audit/embedding/empirical_epsilon_details/0.05/num_guesses": 0.0, "audit/embedding/empirical_epsilon_details/0.05/correct_guesses": 0.0, "audit/embedding/empirical_epsilon_details/0.01/epsilon": 0.0, "audit/embedding/empirical_epsilon_details/0.01/num_guesses": 0.0, "audit/embedding/empirical_epsilon_details/0.01/correct_guesses": 0.0, "perf/audit_duration_sec": 6.922967464663088}}
|
| 26 |
+
{"timestamp": 1773767143.9571598, "event": "audit_final", "step": 186, "epoch": 2, "metrics": {"audit/delta": 1e-05, "audit/num_canaries": 500.0, "audit/num_members": 250.0, "audit/paper_guess_fraction": 0.2, "audit/paper_guess_steps": 20.0, "audit/loss/auc": 0.515088, "audit/loss/empirical_epsilon/0.05": 0.0, "audit/loss/empirical_epsilon/0.01": 0.0, "audit/loss/empirical_epsilon_details/0.05/epsilon": 0.0, "audit/loss/empirical_epsilon_details/0.05/num_guesses": 0.0, "audit/loss/empirical_epsilon_details/0.05/correct_guesses": 0.0, "audit/loss/empirical_epsilon_details/0.01/epsilon": 0.0, "audit/loss/empirical_epsilon_details/0.01/num_guesses": 0.0, "audit/loss/empirical_epsilon_details/0.01/correct_guesses": 0.0, "audit/embedding/auc": 0.516208, "audit/embedding/empirical_epsilon/0.05": 0.0, "audit/embedding/empirical_epsilon/0.01": 0.0, "audit/embedding/empirical_epsilon_details/0.05/epsilon": 0.0, "audit/embedding/empirical_epsilon_details/0.05/num_guesses": 0.0, "audit/embedding/empirical_epsilon_details/0.05/correct_guesses": 0.0, "audit/embedding/empirical_epsilon_details/0.01/epsilon": 0.0, "audit/embedding/empirical_epsilon_details/0.01/num_guesses": 0.0, "audit/embedding/empirical_epsilon_details/0.01/correct_guesses": 0.0}}
|
| 27 |
+
{"timestamp": 1773767144.5062578, "event": "energy_final", "step": 186, "epoch": null, "metrics": {"energy/codecarbon/duration": 2693.6014373912476, "energy/codecarbon/emissions": 0.09826528580395394, "energy/codecarbon/emissions_rate": 3.648100436830916e-05, "energy/codecarbon/cpu_power": 72.03163066573623, "energy/codecarbon/gpu_power": 3108.4298352234105, "energy/codecarbon/ram_power": 54.0, "energy/codecarbon/cpu_energy": 0.051919376660011826, "energy/codecarbon/gpu_energy": 2.3238466076869315, "energy/codecarbon/ram_energy": 0.03891114561875117, "energy/codecarbon/energy_consumed": 2.414677129965695, "energy/codecarbon/water_consumed": 0.0, "energy/codecarbon/cpu_count": 256.0, "energy/codecarbon/gpu_count": 8.0, "energy/codecarbon/longitude": 16.1885, "energy/codecarbon/latitude": 58.594, "energy/codecarbon/ram_total_size": 1511.49019241333, "energy/codecarbon/cpu_utilization_percent": 3.719566840926081, "energy/codecarbon/gpu_utilization_percent": 83.2715646004481, "energy/codecarbon/ram_utilization_percent": 5.423711725167903, "energy/codecarbon/ram_used_gb": 82.01636290603649, "energy/codecarbon/pue": 1.0, "energy/codecarbon/wue": 0.0}}
|
qwen3-4b-instruct/dp8/pretrain_lm_head.pt
ADDED
|
@@ -0,0 +1,3 @@
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bc44b7d60b8e2cf912e4233ff02bc57bb7e91f7a3ba6aa8ea10b7767ca29954a
|
| 3 |
+
size 779106920
|
qwen3-4b-instruct/dp8/resolved_config.yaml
ADDED
|
@@ -0,0 +1,101 @@
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|
|
| 1 |
+
model:
|
| 2 |
+
name: Qwen/Qwen3-4B-Instruct-2507
|
| 3 |
+
tokenizer_name: Qwen/Qwen3-4B-Instruct-2507
|
| 4 |
+
max_length: 1024
|
| 5 |
+
dtype: bfloat16
|
| 6 |
+
trust_remote_code: true
|
| 7 |
+
use_fast_tokenizer: true
|
| 8 |
+
cache_dir: null
|
| 9 |
+
local_files_only: false
|
| 10 |
+
low_cpu_mem_usage: true
|
| 11 |
+
tie_word_embeddings: true
|
| 12 |
+
gradient_checkpointing: false
|
| 13 |
+
use_chat_template: false
|
| 14 |
+
dataset:
|
| 15 |
+
name: melihcatal/codedp-cpt
|
| 16 |
+
split: train
|
| 17 |
+
mode: cpt
|
| 18 |
+
text_column: text
|
| 19 |
+
validation_ratio: 0.05
|
| 20 |
+
max_samples: -1
|
| 21 |
+
lora:
|
| 22 |
+
enabled: true
|
| 23 |
+
r: 16
|
| 24 |
+
alpha: 32
|
| 25 |
+
dropout: 0.05
|
| 26 |
+
target_modules:
|
| 27 |
+
- q_proj
|
| 28 |
+
- k_proj
|
| 29 |
+
- v_proj
|
| 30 |
+
- o_proj
|
| 31 |
+
modules_to_save:
|
| 32 |
+
- lm_head
|
| 33 |
+
bias: none
|
| 34 |
+
training:
|
| 35 |
+
seed: 42
|
| 36 |
+
epochs: 2
|
| 37 |
+
warmup_steps: null
|
| 38 |
+
warmup_ratio: 0.05
|
| 39 |
+
mixed_precision: false
|
| 40 |
+
mixed_precision_dtype: bfloat16
|
| 41 |
+
batch_size: 8
|
| 42 |
+
eval_batch_size: 8
|
| 43 |
+
eval_every_steps: 50
|
| 44 |
+
eval_every_epochs: 1
|
| 45 |
+
learning_rate: 0.0002
|
| 46 |
+
optimizer: adamw
|
| 47 |
+
lr_scheduler: cosine
|
| 48 |
+
adam_beta1: 0.9
|
| 49 |
+
adam_beta2: 0.999
|
| 50 |
+
adam_epsilon: 1.0e-08
|
| 51 |
+
sgd_momentum: 0.9
|
| 52 |
+
weight_decay: 0.01
|
| 53 |
+
max_grad_norm: 1.0
|
| 54 |
+
log_every: 10
|
| 55 |
+
gradient_accumulation_steps: 8
|
| 56 |
+
num_workers: 4
|
| 57 |
+
output_dir: runs/cpt/qwen3-4b-instruct/dp8
|
| 58 |
+
distributed:
|
| 59 |
+
strategy: dpddp
|
| 60 |
+
backend: nccl
|
| 61 |
+
devices: null
|
| 62 |
+
dp:
|
| 63 |
+
module_validator: auto
|
| 64 |
+
target_delta: 1.0e-05
|
| 65 |
+
noise_multiplier: null
|
| 66 |
+
max_grad_norm: 1.0
|
| 67 |
+
grad_sample_mode: hooks
|
| 68 |
+
secure_mode: false
|
| 69 |
+
enabled: true
|
| 70 |
+
target_epsilon: 8.0
|
| 71 |
+
clipping: flat
|
| 72 |
+
audit:
|
| 73 |
+
enabled: true
|
| 74 |
+
run_every_epoch: true
|
| 75 |
+
epoch_device: cuda
|
| 76 |
+
q_canary: auto
|
| 77 |
+
num_canaries: 500
|
| 78 |
+
prefix_length: 49
|
| 79 |
+
num_digits: 12
|
| 80 |
+
batch_size: 32
|
| 81 |
+
delta: 1.0e-05
|
| 82 |
+
p_values:
|
| 83 |
+
- 0.05
|
| 84 |
+
- 0.01
|
| 85 |
+
paper_guess_fraction: 0.2
|
| 86 |
+
paper_guess_steps: 20
|
| 87 |
+
enable_holdout_empirical_epsilon: false
|
| 88 |
+
holdout_seed: 42
|
| 89 |
+
tie_seed: 42
|
| 90 |
+
tracking:
|
| 91 |
+
enabled: true
|
| 92 |
+
tensorboard: true
|
| 93 |
+
wandb: false
|
| 94 |
+
wandb_project: codedp-finetune-h200-audit
|
| 95 |
+
wandb_run_name: qwen3-4b-instruct-cpt-dp8
|
| 96 |
+
wandb_mode: online
|
| 97 |
+
codecarbon: true
|
| 98 |
+
codecarbon_output_file: codecarbon.csv
|
| 99 |
+
codecarbon_measure_power_secs: 15
|
| 100 |
+
codecarbon_country_iso_code: null
|
| 101 |
+
codecarbon_project_name: codedp-qwen3-4b-instruct-cpt-dp8
|
qwen3-4b-instruct/dp8/scalars.csv
ADDED
|
@@ -0,0 +1,358 @@
|
|
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| 1 |
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timestamp,event,step,epoch,key,value
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| 2 |
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1773767144.5062578,energy_final,186,,energy/codecarbon/cpu_utilization_percent,3.719566840926081
|
| 354 |
+
1773767144.5062578,energy_final,186,,energy/codecarbon/gpu_utilization_percent,83.2715646004481
|
| 355 |
+
1773767144.5062578,energy_final,186,,energy/codecarbon/ram_utilization_percent,5.423711725167903
|
| 356 |
+
1773767144.5062578,energy_final,186,,energy/codecarbon/ram_used_gb,82.01636290603649
|
| 357 |
+
1773767144.5062578,energy_final,186,,energy/codecarbon/pue,1.0
|
| 358 |
+
1773767144.5062578,energy_final,186,,energy/codecarbon/wue,0.0
|
qwen3-4b-instruct/dp8/summary.json
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"audit/delta": 1e-05,
|
| 3 |
+
"audit/embedding/auc": 0.516208,
|
| 4 |
+
"audit/embedding/empirical_epsilon/0.01": 0.0,
|
| 5 |
+
"audit/embedding/empirical_epsilon/0.05": 0.0,
|
| 6 |
+
"audit/embedding/empirical_epsilon_details/0.01/correct_guesses": 0.0,
|
| 7 |
+
"audit/embedding/empirical_epsilon_details/0.01/epsilon": 0.0,
|
| 8 |
+
"audit/embedding/empirical_epsilon_details/0.01/num_guesses": 0.0,
|
| 9 |
+
"audit/embedding/empirical_epsilon_details/0.05/correct_guesses": 0.0,
|
| 10 |
+
"audit/embedding/empirical_epsilon_details/0.05/epsilon": 0.0,
|
| 11 |
+
"audit/embedding/empirical_epsilon_details/0.05/num_guesses": 0.0,
|
| 12 |
+
"audit/loss/auc": 0.515088,
|
| 13 |
+
"audit/loss/empirical_epsilon/0.01": 0.0,
|
| 14 |
+
"audit/loss/empirical_epsilon/0.05": 0.0,
|
| 15 |
+
"audit/loss/empirical_epsilon_details/0.01/correct_guesses": 0.0,
|
| 16 |
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"audit/loss/empirical_epsilon_details/0.01/epsilon": 0.0,
|
| 17 |
+
"audit/loss/empirical_epsilon_details/0.01/num_guesses": 0.0,
|
| 18 |
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"audit/loss/empirical_epsilon_details/0.05/correct_guesses": 0.0,
|
| 19 |
+
"audit/loss/empirical_epsilon_details/0.05/epsilon": 0.0,
|
| 20 |
+
"audit/loss/empirical_epsilon_details/0.05/num_guesses": 0.0,
|
| 21 |
+
"audit/num_canaries": 500.0,
|
| 22 |
+
"audit/num_members": 250.0,
|
| 23 |
+
"audit/paper_guess_fraction": 0.2,
|
| 24 |
+
"audit/paper_guess_steps": 20.0,
|
| 25 |
+
"energy/codecarbon/cpu_count": 256.0,
|
| 26 |
+
"energy/codecarbon/cpu_energy": 0.051919376660011826,
|
| 27 |
+
"energy/codecarbon/cpu_power": 72.03163066573623,
|
| 28 |
+
"energy/codecarbon/cpu_utilization_percent": 3.719566840926081,
|
| 29 |
+
"energy/codecarbon/duration": 2693.6014373912476,
|
| 30 |
+
"energy/codecarbon/emissions": 0.09826528580395394,
|
| 31 |
+
"energy/codecarbon/emissions_rate": 3.648100436830916e-05,
|
| 32 |
+
"energy/codecarbon/energy_consumed": 2.414677129965695,
|
| 33 |
+
"energy/codecarbon/gpu_count": 8.0,
|
| 34 |
+
"energy/codecarbon/gpu_energy": 2.3238466076869315,
|
| 35 |
+
"energy/codecarbon/gpu_power": 3108.4298352234105,
|
| 36 |
+
"energy/codecarbon/gpu_utilization_percent": 83.2715646004481,
|
| 37 |
+
"energy/codecarbon/latitude": 58.594,
|
| 38 |
+
"energy/codecarbon/longitude": 16.1885,
|
| 39 |
+
"energy/codecarbon/pue": 1.0,
|
| 40 |
+
"energy/codecarbon/ram_energy": 0.03891114561875117,
|
| 41 |
+
"energy/codecarbon/ram_power": 54.0,
|
| 42 |
+
"energy/codecarbon/ram_total_size": 1511.49019241333,
|
| 43 |
+
"energy/codecarbon/ram_used_gb": 82.01636290603649,
|
| 44 |
+
"energy/codecarbon/ram_utilization_percent": 5.423711725167903,
|
| 45 |
+
"energy/codecarbon/water_consumed": 0.0,
|
| 46 |
+
"energy/codecarbon/wue": 0.0,
|
| 47 |
+
"eval/duration_sec": 12.757435038685799,
|
| 48 |
+
"eval/loss": 0.924621483645378,
|
| 49 |
+
"perf/audit_duration_sec": 6.922967464663088,
|
| 50 |
+
"perf/epoch_duration_sec": 1272.894041202031,
|
| 51 |
+
"perf/epoch_samples": 49540.0,
|
| 52 |
+
"perf/epoch_samples_per_sec": 38.91918604098259,
|
| 53 |
+
"perf/epoch_tokens": 37768082.0,
|
| 54 |
+
"perf/epoch_tokens_per_sec": 29671.033705472055,
|
| 55 |
+
"perf/logical_batch_size": 68.0,
|
| 56 |
+
"perf/logical_token_count": 52926.0,
|
| 57 |
+
"perf/physical_batches": 9.0,
|
| 58 |
+
"perf/samples_per_sec": 4.978020434001367,
|
| 59 |
+
"perf/step_duration_sec": 13.660048387013376,
|
| 60 |
+
"perf/tokens_per_sec": 3874.5104336758286,
|
| 61 |
+
"privacy/epsilon": 7.996749609735891,
|
| 62 |
+
"system/cuda_epoch_peak_memory_gb": 86.22137594223022,
|
| 63 |
+
"system/cuda_max_memory_allocated_gb": 86.22137594223022,
|
| 64 |
+
"system/cuda_memory_allocated_gb": 13.261121273040771,
|
| 65 |
+
"train/epoch_canary_loss": 13.023172873210777,
|
| 66 |
+
"train/epoch_loss": 1.5804422382361127,
|
| 67 |
+
"train/epoch_real_loss": 1.005713254121899,
|
| 68 |
+
"train/lr": 5.729698228102653e-07,
|
| 69 |
+
"train/step_canary_loss": 12.5625,
|
| 70 |
+
"train/step_loss": 1.7291738425984102,
|
| 71 |
+
"train/step_real_loss": 1.0520909577608109
|
| 72 |
+
}
|
qwen3-4b-instruct/dp8/tensorboard/events.out.tfevents.1773764448.7b654b6988b0.41500.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eff1ed8df15d5771e60d52c8dab89e065560c7481fb911bfbbce08dd4f2d2e70
|
| 3 |
+
size 25026
|
qwen3-4b-instruct/dp8/tokenizer/chat_template.jinja
ADDED
|
@@ -0,0 +1,61 @@
|
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|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
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|
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|
|
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|
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|
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|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- for message in messages %}
|
| 18 |
+
{%- if message.content is string %}
|
| 19 |
+
{%- set content = message.content %}
|
| 20 |
+
{%- else %}
|
| 21 |
+
{%- set content = '' %}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 24 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 25 |
+
{%- elif message.role == "assistant" %}
|
| 26 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 27 |
+
{%- if message.tool_calls %}
|
| 28 |
+
{%- for tool_call in message.tool_calls %}
|
| 29 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 30 |
+
{{- '\n' }}
|
| 31 |
+
{%- endif %}
|
| 32 |
+
{%- if tool_call.function %}
|
| 33 |
+
{%- set tool_call = tool_call.function %}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 36 |
+
{{- tool_call.name }}
|
| 37 |
+
{{- '", "arguments": ' }}
|
| 38 |
+
{%- if tool_call.arguments is string %}
|
| 39 |
+
{{- tool_call.arguments }}
|
| 40 |
+
{%- else %}
|
| 41 |
+
{{- tool_call.arguments | tojson }}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{{- '}\n</tool_call>' }}
|
| 44 |
+
{%- endfor %}
|
| 45 |
+
{%- endif %}
|
| 46 |
+
{{- '<|im_end|>\n' }}
|
| 47 |
+
{%- elif message.role == "tool" %}
|
| 48 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 49 |
+
{{- '<|im_start|>user' }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{{- '\n<tool_response>\n' }}
|
| 52 |
+
{{- content }}
|
| 53 |
+
{{- '\n</tool_response>' }}
|
| 54 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 55 |
+
{{- '<|im_end|>\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- endif %}
|
| 58 |
+
{%- endfor %}
|
| 59 |
+
{%- if add_generation_prompt %}
|
| 60 |
+
{{- '<|im_start|>assistant\n' }}
|
| 61 |
+
{%- endif %}
|
qwen3-4b-instruct/dp8/tokenizer/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0e9c8aef460c70c1e1c32afe895f455856c0075e5706f06e6d80b2f581137715
|
| 3 |
+
size 11517150
|
qwen3-4b-instruct/dp8/tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,516 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
qwen3-4b-instruct/dp8/train.log
ADDED
|
@@ -0,0 +1,21 @@
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|
| 1 |
+
2026-03-17 16:24:45,463 [INFO] new_opacus_codex.train_steps: epoch=1 step=10 loss=1.6904
|
| 2 |
+
2026-03-17 16:26:59,829 [INFO] new_opacus_codex.train_steps: epoch=1 step=20 loss=1.6599
|
| 3 |
+
2026-03-17 16:29:13,865 [INFO] new_opacus_codex.train_steps: epoch=1 step=30 loss=1.6978
|
| 4 |
+
2026-03-17 16:31:27,715 [INFO] new_opacus_codex.train_steps: epoch=1 step=40 loss=1.5809
|
| 5 |
+
2026-03-17 16:33:41,506 [INFO] new_opacus_codex.train_steps: epoch=1 step=50 loss=1.5804
|
| 6 |
+
2026-03-17 16:33:54,222 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=1 step=50 eval_loss=0.9504 duration_sec=12.71
|
| 7 |
+
2026-03-17 16:36:08,859 [INFO] new_opacus_codex.train_steps: epoch=1 step=60 loss=1.5633
|
| 8 |
+
2026-03-17 16:38:23,253 [INFO] new_opacus_codex.train_steps: epoch=1 step=70 loss=1.7269
|
| 9 |
+
2026-03-17 16:40:37,881 [INFO] new_opacus_codex.train_steps: epoch=1 step=80 loss=1.7133
|
| 10 |
+
2026-03-17 16:42:52,223 [INFO] new_opacus_codex.train_steps: epoch=1 step=90 loss=1.5771
|
| 11 |
+
2026-03-17 16:45:27,230 [INFO] new_opacus_codex.train_steps: epoch=2 step=100 loss=1.7272
|
| 12 |
+
2026-03-17 16:45:39,978 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=2 step=100 eval_loss=0.9271 duration_sec=12.75
|
| 13 |
+
2026-03-17 16:47:54,357 [INFO] new_opacus_codex.train_steps: epoch=2 step=110 loss=1.7404
|
| 14 |
+
2026-03-17 16:50:08,938 [INFO] new_opacus_codex.train_steps: epoch=2 step=120 loss=1.5583
|
| 15 |
+
2026-03-17 16:52:23,295 [INFO] new_opacus_codex.train_steps: epoch=2 step=130 loss=1.5209
|
| 16 |
+
2026-03-17 16:54:37,246 [INFO] new_opacus_codex.train_steps: epoch=2 step=140 loss=1.7010
|
| 17 |
+
2026-03-17 16:56:50,943 [INFO] new_opacus_codex.train_steps: epoch=2 step=150 loss=1.5696
|
| 18 |
+
2026-03-17 16:57:03,701 [INFO] new_opacus_codex.train_steps: eval event=eval_step epoch=2 step=150 eval_loss=0.9248 duration_sec=12.76
|
| 19 |
+
2026-03-17 16:59:18,140 [INFO] new_opacus_codex.train_steps: epoch=2 step=160 loss=1.3749
|
| 20 |
+
2026-03-17 17:01:33,298 [INFO] new_opacus_codex.train_steps: epoch=2 step=170 loss=1.6490
|
| 21 |
+
2026-03-17 17:03:49,099 [INFO] new_opacus_codex.train_steps: epoch=2 step=180 loss=1.6707
|