Training in progress, step 19, checkpoint
Browse files- .gitattributes +1 -0
- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +38 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/chat_template.jinja +4 -0
- last-checkpoint/optimizer.bin +3 -0
- last-checkpoint/pytorch_model_fsdp.bin +3 -0
- last-checkpoint/rng_state_0.pth +3 -0
- last-checkpoint/rng_state_1.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +32 -0
- last-checkpoint/tokenizer.json +3 -0
- last-checkpoint/tokenizer_config.json +145 -0
- last-checkpoint/trainer_state.json +183 -0
- last-checkpoint/training_args.bin +3 -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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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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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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last-checkpoint/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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last-checkpoint/README.md
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| 1 |
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---
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base_model: arcee-ai/GLM-4-32B-Base-32K
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library_name: peft
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---
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| 5 |
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# Model Card for Model ID
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| 7 |
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<!-- Provide a quick summary of what the model is/does. -->
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| 9 |
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| 10 |
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+
## Model Details
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| 13 |
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+
### Model Description
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| 15 |
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+
<!-- Provide a longer summary of what this model is. -->
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| 17 |
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| 18 |
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| 19 |
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| 20 |
+
- **Developed by:** [More Information Needed]
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| 21 |
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- **Funded by [optional]:** [More Information Needed]
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| 22 |
+
- **Shared by [optional]:** [More Information Needed]
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| 23 |
+
- **Model type:** [More Information Needed]
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| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 25 |
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- **License:** [More Information Needed]
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| 26 |
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- **Finetuned from model [optional]:** [More Information Needed]
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| 27 |
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| 28 |
+
### Model Sources [optional]
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| 29 |
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| 30 |
+
<!-- Provide the basic links for the model. -->
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| 31 |
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| 32 |
+
- **Repository:** [More Information Needed]
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| 33 |
+
- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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| 35 |
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| 36 |
+
## Uses
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| 37 |
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| 38 |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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| 40 |
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### Direct Use
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| 41 |
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| 42 |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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| 43 |
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|
| 44 |
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[More Information Needed]
|
| 45 |
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| 46 |
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### Downstream Use [optional]
|
| 47 |
+
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| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
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| 50 |
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[More Information Needed]
|
| 51 |
+
|
| 52 |
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### Out-of-Scope Use
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| 53 |
+
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| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 55 |
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| 56 |
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[More Information Needed]
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| 57 |
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| 58 |
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## Bias, Risks, and Limitations
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| 59 |
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| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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| 63 |
+
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| 64 |
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### Recommendations
|
| 65 |
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| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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| 69 |
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## How to Get Started with the Model
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| 71 |
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| 72 |
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Use the code below to get started with the model.
|
| 73 |
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| 74 |
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[More Information Needed]
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| 76 |
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## Training Details
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| 77 |
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|
| 78 |
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### Training Data
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| 79 |
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| 80 |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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| 83 |
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| 84 |
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### Training Procedure
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| 85 |
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| 86 |
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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| 87 |
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#### Preprocessing [optional]
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[More Information Needed]
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| 93 |
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#### Training Hyperparameters
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| 94 |
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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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| 96 |
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| 97 |
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#### Speeds, Sizes, Times [optional]
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| 98 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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| 102 |
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## Evaluation
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| 104 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 106 |
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### Testing Data, Factors & Metrics
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| 108 |
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#### Testing Data
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| 110 |
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| 111 |
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<!-- This should link to a Dataset Card if possible. -->
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| 112 |
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| 113 |
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[More Information Needed]
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| 114 |
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#### Factors
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| 116 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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| 120 |
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| 121 |
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#### Metrics
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| 123 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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| 130 |
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#### Summary
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## Model Examination [optional]
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| 136 |
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| 137 |
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<!-- Relevant interpretability work for the model goes here -->
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| 138 |
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[More Information Needed]
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| 140 |
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| 141 |
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## Environmental Impact
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| 142 |
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| 143 |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
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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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| 146 |
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| 147 |
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- **Hardware Type:** [More Information Needed]
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| 148 |
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- **Hours used:** [More Information Needed]
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| 149 |
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- **Cloud Provider:** [More Information Needed]
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| 150 |
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- **Compute Region:** [More Information Needed]
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| 151 |
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- **Carbon Emitted:** [More Information Needed]
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| 152 |
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| 153 |
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## Technical Specifications [optional]
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| 154 |
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### Model Architecture and Objective
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| 156 |
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[More Information Needed]
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| 158 |
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| 159 |
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### Compute Infrastructure
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| 160 |
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| 161 |
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[More Information Needed]
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| 162 |
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| 163 |
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#### Hardware
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| 164 |
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[More Information Needed]
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| 166 |
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#### Software
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| 168 |
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[More Information Needed]
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| 170 |
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## Citation [optional]
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| 172 |
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| 173 |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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| 174 |
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**BibTeX:**
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| 176 |
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[More Information Needed]
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**APA:**
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[More Information Needed]
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| 182 |
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|
| 183 |
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## Glossary [optional]
|
| 184 |
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|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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| 186 |
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[More Information Needed]
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| 188 |
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## More Information [optional]
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| 190 |
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[More Information Needed]
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| 192 |
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## Model Card Authors [optional]
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| 194 |
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[More Information Needed]
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## Model Card Contact
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| 198 |
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| 199 |
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[More Information Needed]
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| 200 |
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### Framework versions
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| 201 |
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| 202 |
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- PEFT 0.15.2
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last-checkpoint/adapter_config.json
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{
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": null,
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| 4 |
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"base_model_name_or_path": "arcee-ai/GLM-4-32B-Base-32K",
|
| 5 |
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"bias": "none",
|
| 6 |
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"corda_config": null,
|
| 7 |
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"eva_config": null,
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| 8 |
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"exclude_modules": null,
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| 9 |
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"fan_in_fan_out": null,
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| 10 |
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"inference_mode": true,
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| 11 |
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"init_lora_weights": true,
|
| 12 |
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"layer_replication": null,
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| 13 |
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"layers_pattern": null,
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| 14 |
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"layers_to_transform": null,
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| 15 |
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"loftq_config": {},
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| 16 |
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"lora_alpha": 64,
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| 17 |
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"lora_bias": false,
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| 18 |
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"lora_dropout": 0.05,
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| 19 |
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"megatron_config": null,
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| 20 |
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"megatron_core": "megatron.core",
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| 21 |
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"modules_to_save": null,
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| 22 |
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"peft_type": "LORA",
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| 23 |
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"r": 64,
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| 24 |
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"rank_pattern": {},
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| 25 |
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"revision": null,
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| 26 |
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"target_modules": [
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| 27 |
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"k_proj",
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| 28 |
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"o_proj",
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| 29 |
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"down_proj",
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| 30 |
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"v_proj",
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| 31 |
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"q_proj",
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| 32 |
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"gate_up_proj"
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| 33 |
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],
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| 34 |
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"task_type": "CAUSAL_LM",
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| 35 |
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"trainable_token_indices": null,
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| 36 |
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"use_dora": false,
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| 37 |
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"use_rslora": false
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| 38 |
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}
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last-checkpoint/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d505872202b05a95ed40bb1728896cae5c686d56df78528cb24b171bcc0b9480
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size 1855031376
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last-checkpoint/chat_template.jinja
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{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '
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' + message['content'] + '<|im_end|>' + '
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'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
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' }}{% endif %}
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last-checkpoint/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6ed4e9983801254a4d6d709095023ee423eca39c7bc26b680d7aa4352a815e7c
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size 3710519351
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last-checkpoint/pytorch_model_fsdp.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e60067266fb221925611f4a34b5a111ed8ea43898e7ed736dfb7c326d3d7b9b3
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size 1855205629
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last-checkpoint/rng_state_0.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:afc3270bc48bf88be2975370b4aa5c447c2893120446fd28ecf6229ee6c7557a
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size 14917
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last-checkpoint/rng_state_1.pth
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version https://git-lfs.github.com/spec/v1
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size 1465
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last-checkpoint/special_tokens_map.json
ADDED
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@@ -0,0 +1,32 @@
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last-checkpoint/tokenizer.json
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size 19966496
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last-checkpoint/tokenizer_config.json
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last-checkpoint/trainer_state.json
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