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Browse files- README.md +202 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- checkpoint-18/README.md +202 -0
- checkpoint-18/adapter_config.json +34 -0
- checkpoint-18/adapter_model.safetensors +3 -0
- checkpoint-18/optimizer.pt +3 -0
- checkpoint-18/rng_state.pth +3 -0
- checkpoint-18/scaler.pt +3 -0
- checkpoint-18/scheduler.pt +3 -0
- checkpoint-18/trainer_state.json +41 -0
- checkpoint-18/training_args.bin +3 -0
- runs/May05_12-08-48_ffcbed288bde/events.out.tfevents.1746446932.ffcbed288bde.239.0 +3 -0
- special_tokens_map.json +34 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +88 -0
- training_args.bin +3 -0
    	
        README.md
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            ---
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            base_model: defog/sqlcoder-7b-2
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            library_name: peft
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            ---
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            # Model Card for Model ID
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            <!-- Provide a quick summary of what the model is/does. -->
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            ## Model Details
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            ### Model Description
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            <!-- Provide a longer summary of what this model is. -->
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            - **Developed by:** [More Information Needed]
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            - **Funded by [optional]:** [More Information Needed]
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            - **Shared by [optional]:** [More Information Needed]
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            - **Model type:** [More Information Needed]
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            - **Language(s) (NLP):** [More Information Needed]
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            - **License:** [More Information Needed]
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            - **Finetuned from model [optional]:** [More Information Needed]
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            ### Model Sources [optional]
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            <!-- Provide the basic links for the model. -->
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            - **Repository:** [More Information Needed]
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            - **Paper [optional]:** [More Information Needed]
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            - **Demo [optional]:** [More Information Needed]
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            ## Uses
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            <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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            ### Direct Use
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            <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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            [More Information Needed]
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            ### Downstream Use [optional]
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            <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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            [More Information Needed]
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            ### Out-of-Scope Use
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            <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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            [More Information Needed]
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            ## Bias, Risks, and Limitations
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            <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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            [More Information Needed]
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            ### Recommendations
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            <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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            Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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            ## How to Get Started with the Model
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            Use the code below to get started with the model.
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            [More Information Needed]
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            ## Training Details
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            ### Training Data
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            <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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            [More Information Needed]
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            ### Training Procedure
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            <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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            #### Preprocessing [optional]
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            [More Information Needed]
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            #### Training Hyperparameters
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            - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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            #### Speeds, Sizes, Times [optional]
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            <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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            [More Information Needed]
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            ## Evaluation
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            <!-- This section describes the evaluation protocols and provides the results. -->
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            ### Testing Data, Factors & Metrics
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            #### Testing Data
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            <!-- This should link to a Dataset Card if possible. -->
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            [More Information Needed]
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            #### Factors
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            <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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            [More Information Needed]
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            #### Metrics
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            <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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            [More Information Needed]
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            ### Results
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            [More Information Needed]
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            #### Summary
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            ## Model Examination [optional]
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            <!-- Relevant interpretability work for the model goes here -->
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            [More Information Needed]
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            ## Environmental Impact
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            <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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            Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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            - **Hardware Type:** [More Information Needed]
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            - **Hours used:** [More Information Needed]
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            - **Cloud Provider:** [More Information Needed]
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            - **Compute Region:** [More Information Needed]
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            - **Carbon Emitted:** [More Information Needed]
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            ## Technical Specifications [optional]
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            ### Model Architecture and Objective
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            [More Information Needed]
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            ### Compute Infrastructure
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            [More Information Needed]
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            #### Hardware
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| 164 | 
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            [More Information Needed]
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            #### Software
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            [More Information Needed]
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            ## Citation [optional]
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            <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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            **BibTeX:**
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            [More Information Needed]
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            **APA:**
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            [More Information Needed]
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            ## Glossary [optional]
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            <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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            [More Information Needed]
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            ## More Information [optional]
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            [More Information Needed]
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            ## Model Card Authors [optional]
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            [More Information Needed]
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            ## Model Card Contact
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            [More Information Needed]
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            ### Framework versions
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            - PEFT 0.15.2
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        adapter_config.json
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            {
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              "alpha_pattern": {},
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              "auto_mapping": null,
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              "base_model_name_or_path": "defog/sqlcoder-7b-2",
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              "bias": "none",
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              "corda_config": null,
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              "eva_config": null,
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              "exclude_modules": null,
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              "fan_in_fan_out": false,
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              "inference_mode": true,
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              "init_lora_weights": true,
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              "layer_replication": null,
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              "layers_pattern": null,
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              "layers_to_transform": null,
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              "loftq_config": {},
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              "lora_alpha": 32,
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              "lora_bias": false,
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              "lora_dropout": 0.05,
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              "megatron_config": null,
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              "megatron_core": "megatron.core",
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              "modules_to_save": null,
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              "peft_type": "LORA",
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              "r": 8,
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              "rank_pattern": {},
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              "revision": null,
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              "target_modules": [
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                "v_proj",
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                "q_proj"
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              ],
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              "task_type": "CAUSAL_LM",
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              "trainable_token_indices": null,
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              "use_dora": false,
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              "use_rslora": false
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            }
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        adapter_model.safetensors
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            version https://git-lfs.github.com/spec/v1
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            oid sha256:3ae0be2334083831da890c180d4824fe7eea12297c14c9d1df465b1cb76fba2e
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            size 16794200
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            ---
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            base_model: defog/sqlcoder-7b-2
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            library_name: peft
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            ---
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            +
             | 
| 6 | 
            +
            # Model Card for Model ID
         | 
| 7 | 
            +
             | 
| 8 | 
            +
            <!-- Provide a quick summary of what the model is/does. -->
         | 
| 9 | 
            +
             | 
| 10 | 
            +
             | 
| 11 | 
            +
             | 
| 12 | 
            +
            ## Model Details
         | 
| 13 | 
            +
             | 
| 14 | 
            +
            ### Model Description
         | 
| 15 | 
            +
             | 
| 16 | 
            +
            <!-- Provide a longer summary of what this model is. -->
         | 
| 17 | 
            +
             | 
| 18 | 
            +
             | 
| 19 | 
            +
             | 
| 20 | 
            +
            - **Developed by:** [More Information Needed]
         | 
| 21 | 
            +
            - **Funded by [optional]:** [More Information Needed]
         | 
| 22 | 
            +
            - **Shared by [optional]:** [More Information Needed]
         | 
| 23 | 
            +
            - **Model type:** [More Information Needed]
         | 
| 24 | 
            +
            - **Language(s) (NLP):** [More Information Needed]
         | 
| 25 | 
            +
            - **License:** [More Information Needed]
         | 
| 26 | 
            +
            - **Finetuned from model [optional]:** [More Information Needed]
         | 
| 27 | 
            +
             | 
| 28 | 
            +
            ### Model Sources [optional]
         | 
| 29 | 
            +
             | 
| 30 | 
            +
            <!-- Provide the basic links for the model. -->
         | 
| 31 | 
            +
             | 
| 32 | 
            +
            - **Repository:** [More Information Needed]
         | 
| 33 | 
            +
            - **Paper [optional]:** [More Information Needed]
         | 
| 34 | 
            +
            - **Demo [optional]:** [More Information Needed]
         | 
| 35 | 
            +
             | 
| 36 | 
            +
            ## Uses
         | 
| 37 | 
            +
             | 
| 38 | 
            +
            <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
         | 
| 39 | 
            +
             | 
| 40 | 
            +
            ### Direct Use
         | 
| 41 | 
            +
             | 
| 42 | 
            +
            <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
         | 
| 43 | 
            +
             | 
| 44 | 
            +
            [More Information Needed]
         | 
| 45 | 
            +
             | 
| 46 | 
            +
            ### Downstream Use [optional]
         | 
| 47 | 
            +
             | 
| 48 | 
            +
            <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
         | 
| 49 | 
            +
             | 
| 50 | 
            +
            [More Information Needed]
         | 
| 51 | 
            +
             | 
| 52 | 
            +
            ### Out-of-Scope Use
         | 
| 53 | 
            +
             | 
| 54 | 
            +
            <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
         | 
| 55 | 
            +
             | 
| 56 | 
            +
            [More Information Needed]
         | 
| 57 | 
            +
             | 
| 58 | 
            +
            ## Bias, Risks, and Limitations
         | 
| 59 | 
            +
             | 
| 60 | 
            +
            <!-- This section is meant to convey both technical and sociotechnical limitations. -->
         | 
| 61 | 
            +
             | 
| 62 | 
            +
            [More Information Needed]
         | 
| 63 | 
            +
             | 
| 64 | 
            +
            ### Recommendations
         | 
| 65 | 
            +
             | 
| 66 | 
            +
            <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
         | 
| 67 | 
            +
             | 
| 68 | 
            +
            Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
         | 
| 69 | 
            +
             | 
| 70 | 
            +
            ## How to Get Started with the Model
         | 
| 71 | 
            +
             | 
| 72 | 
            +
            Use the code below to get started with the model.
         | 
| 73 | 
            +
             | 
| 74 | 
            +
            [More Information Needed]
         | 
| 75 | 
            +
             | 
| 76 | 
            +
            ## Training Details
         | 
| 77 | 
            +
             | 
| 78 | 
            +
            ### Training Data
         | 
| 79 | 
            +
             | 
| 80 | 
            +
            <!-- 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. -->
         | 
| 81 | 
            +
             | 
| 82 | 
            +
            [More Information Needed]
         | 
| 83 | 
            +
             | 
| 84 | 
            +
            ### Training Procedure
         | 
| 85 | 
            +
             | 
| 86 | 
            +
            <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
         | 
| 87 | 
            +
             | 
| 88 | 
            +
            #### Preprocessing [optional]
         | 
| 89 | 
            +
             | 
| 90 | 
            +
            [More Information Needed]
         | 
| 91 | 
            +
             | 
| 92 | 
            +
             | 
| 93 | 
            +
            #### Training Hyperparameters
         | 
| 94 | 
            +
             | 
| 95 | 
            +
            - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
         | 
| 96 | 
            +
             | 
| 97 | 
            +
            #### Speeds, Sizes, Times [optional]
         | 
| 98 | 
            +
             | 
| 99 | 
            +
            <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
         | 
| 100 | 
            +
             | 
| 101 | 
            +
            [More Information Needed]
         | 
| 102 | 
            +
             | 
| 103 | 
            +
            ## Evaluation
         | 
| 104 | 
            +
             | 
| 105 | 
            +
            <!-- This section describes the evaluation protocols and provides the results. -->
         | 
| 106 | 
            +
             | 
| 107 | 
            +
            ### Testing Data, Factors & Metrics
         | 
| 108 | 
            +
             | 
| 109 | 
            +
            #### Testing Data
         | 
| 110 | 
            +
             | 
| 111 | 
            +
            <!-- This should link to a Dataset Card if possible. -->
         | 
| 112 | 
            +
             | 
| 113 | 
            +
            [More Information Needed]
         | 
| 114 | 
            +
             | 
| 115 | 
            +
            #### Factors
         | 
| 116 | 
            +
             | 
| 117 | 
            +
            <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
         | 
| 118 | 
            +
             | 
| 119 | 
            +
            [More Information Needed]
         | 
| 120 | 
            +
             | 
| 121 | 
            +
            #### Metrics
         | 
| 122 | 
            +
             | 
| 123 | 
            +
            <!-- These are the evaluation metrics being used, ideally with a description of why. -->
         | 
| 124 | 
            +
             | 
| 125 | 
            +
            [More Information Needed]
         | 
| 126 | 
            +
             | 
| 127 | 
            +
            ### Results
         | 
| 128 | 
            +
             | 
| 129 | 
            +
            [More Information Needed]
         | 
| 130 | 
            +
             | 
| 131 | 
            +
            #### Summary
         | 
| 132 | 
            +
             | 
| 133 | 
            +
             | 
| 134 | 
            +
             | 
| 135 | 
            +
            ## Model Examination [optional]
         | 
| 136 | 
            +
             | 
| 137 | 
            +
            <!-- Relevant interpretability work for the model goes here -->
         | 
| 138 | 
            +
             | 
| 139 | 
            +
            [More Information Needed]
         | 
| 140 | 
            +
             | 
| 141 | 
            +
            ## Environmental Impact
         | 
| 142 | 
            +
             | 
| 143 | 
            +
            <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
         | 
| 144 | 
            +
             | 
| 145 | 
            +
            Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
         | 
| 146 | 
            +
             | 
| 147 | 
            +
            - **Hardware Type:** [More Information Needed]
         | 
| 148 | 
            +
            - **Hours used:** [More Information Needed]
         | 
| 149 | 
            +
            - **Cloud Provider:** [More Information Needed]
         | 
| 150 | 
            +
            - **Compute Region:** [More Information Needed]
         | 
| 151 | 
            +
            - **Carbon Emitted:** [More Information Needed]
         | 
| 152 | 
            +
             | 
| 153 | 
            +
            ## Technical Specifications [optional]
         | 
| 154 | 
            +
             | 
| 155 | 
            +
            ### Model Architecture and Objective
         | 
| 156 | 
            +
             | 
| 157 | 
            +
            [More Information Needed]
         | 
| 158 | 
            +
             | 
| 159 | 
            +
            ### Compute Infrastructure
         | 
| 160 | 
            +
             | 
| 161 | 
            +
            [More Information Needed]
         | 
| 162 | 
            +
             | 
| 163 | 
            +
            #### Hardware
         | 
| 164 | 
            +
             | 
| 165 | 
            +
            [More Information Needed]
         | 
| 166 | 
            +
             | 
| 167 | 
            +
            #### Software
         | 
| 168 | 
            +
             | 
| 169 | 
            +
            [More Information Needed]
         | 
| 170 | 
            +
             | 
| 171 | 
            +
            ## Citation [optional]
         | 
| 172 | 
            +
             | 
| 173 | 
            +
            <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
         | 
| 174 | 
            +
             | 
| 175 | 
            +
            **BibTeX:**
         | 
| 176 | 
            +
             | 
| 177 | 
            +
            [More Information Needed]
         | 
| 178 | 
            +
             | 
| 179 | 
            +
            **APA:**
         | 
| 180 | 
            +
             | 
| 181 | 
            +
            [More Information Needed]
         | 
| 182 | 
            +
             | 
| 183 | 
            +
            ## Glossary [optional]
         | 
| 184 | 
            +
             | 
| 185 | 
            +
            <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
         | 
| 186 | 
            +
             | 
| 187 | 
            +
            [More Information Needed]
         | 
| 188 | 
            +
             | 
| 189 | 
            +
            ## More Information [optional]
         | 
| 190 | 
            +
             | 
| 191 | 
            +
            [More Information Needed]
         | 
| 192 | 
            +
             | 
| 193 | 
            +
            ## Model Card Authors [optional]
         | 
| 194 | 
            +
             | 
| 195 | 
            +
            [More Information Needed]
         | 
| 196 | 
            +
             | 
| 197 | 
            +
            ## Model Card Contact
         | 
| 198 | 
            +
             | 
| 199 | 
            +
            [More Information Needed]
         | 
| 200 | 
            +
            ### Framework versions
         | 
| 201 | 
            +
             | 
| 202 | 
            +
            - PEFT 0.15.2
         | 
    	
        checkpoint-18/adapter_config.json
    ADDED
    
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| 33 | 
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| 34 | 
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                "β<EOT>",
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                "β<EOT>"
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| 22 | 
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                "normalized": false,
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| 23 | 
            +
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         | 
| 24 | 
            +
                "single_word": false
         | 
| 25 | 
            +
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         | 
| 26 | 
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              "pad_token": "</s>",
         | 
| 27 | 
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         | 
| 28 | 
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| 29 | 
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| 30 | 
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| 31 | 
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| 32 | 
            +
                "single_word": false
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| 33 | 
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| 34 | 
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         | 
    	
        tokenizer.json
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        tokenizer.model
    ADDED
    
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| 1 | 
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            version https://git-lfs.github.com/spec/v1
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| 2 | 
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            oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
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| 3 | 
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            size 500058
         | 
    	
        tokenizer_config.json
    ADDED
    
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| 1 | 
            +
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| 2 | 
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         | 
| 3 | 
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         | 
| 4 | 
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| 5 | 
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                "0": {
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| 6 | 
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| 7 | 
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| 8 | 
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| 9 | 
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| 10 | 
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| 11 | 
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         | 
| 12 | 
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| 13 | 
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| 14 | 
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| 15 | 
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| 16 | 
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| 17 | 
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| 18 | 
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| 19 | 
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| 20 | 
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| 21 | 
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| 22 | 
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| 23 | 
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| 25 | 
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| 26 | 
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| 27 | 
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| 28 | 
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| 29 | 
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| 30 | 
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                  "content": "β<PRE>",
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| 31 | 
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| 32 | 
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| 33 | 
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| 34 | 
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| 35 | 
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| 36 | 
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| 37 | 
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| 38 | 
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| 39 | 
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| 40 | 
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| 41 | 
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| 42 | 
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| 43 | 
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| 44 | 
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| 45 | 
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                "32009": {
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| 46 | 
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| 47 | 
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| 48 | 
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| 49 | 
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| 50 | 
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         | 
| 51 | 
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                  "special": true
         | 
| 52 | 
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| 53 | 
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                "32010": {
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| 54 | 
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                  "content": "β<EOT>",
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| 55 | 
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                  "lstrip": false,
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| 56 | 
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                  "normalized": false,
         | 
| 57 | 
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                  "rstrip": false,
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| 58 | 
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| 59 | 
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                  "special": true
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| 60 | 
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                }
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| 61 | 
            +
              },
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| 62 | 
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              "additional_special_tokens": [
         | 
| 63 | 
            +
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| 64 | 
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                "β<MID>",
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| 65 | 
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| 66 | 
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                "β<EOT>",
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| 67 | 
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| 68 | 
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| 69 | 
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| 70 | 
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                "β<EOT>"
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| 71 | 
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              ],
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| 72 | 
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              "bos_token": "<s>",
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| 73 | 
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              "clean_up_tokenization_spaces": false,
         | 
| 74 | 
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              "eos_token": "</s>",
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| 75 | 
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              "eot_token": "β<EOT>",
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| 76 | 
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              "extra_special_tokens": {},
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| 77 | 
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              "fill_token": "<FILL_ME>",
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| 78 | 
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| 79 | 
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              "middle_token": "β<MID>",
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| 80 | 
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| 81 | 
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| 82 | 
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              "prefix_token": "β<PRE>",
         | 
| 83 | 
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              "sp_model_kwargs": {},
         | 
| 84 | 
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              "suffix_token": "β<SUF>",
         | 
| 85 | 
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              "tokenizer_class": "CodeLlamaTokenizer",
         | 
| 86 | 
            +
              "unk_token": "<unk>",
         | 
| 87 | 
            +
              "use_default_system_prompt": false
         | 
| 88 | 
            +
            }
         | 
    	
        training_args.bin
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
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| 2 | 
            +
            oid sha256:28d33e7e0baee268c637f990388f29a63b63c7a37f6731a8f0bd308b317652cd
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| 3 | 
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            size 5304
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