Upload TextGenerationReport

README.md

@@ -0,0 +1,199 @@
+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

benchmark_report.json

@@ -0,0 +1,204 @@
+{
+    "prefill": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 3385.741312,
+            "max_vram": 6058.672128,
+            "max_reserved": 5574.230016,
+            "max_allocated": 5342.596608
+        },
+        "latency": {
+            "unit": "s",
+            "mean": 0.24166012536911738,
+            "stdev": 0.000219597102317531,
+            "values": [
+                0.24255186462402345,
+                0.24223948669433593,
+                0.24154214477539063,
+                0.24127078247070313,
+                0.24128614807128906,
+                0.24127999877929687,
+                0.24149395751953126,
+                0.24154010009765625,
+                0.24160870361328124,
+                0.24123802185058593,
+                0.24157901000976562,
+                0.2417223663330078,
+                0.24163839721679686,
+                0.24168858337402344,
+                0.24178279113769532,
+                0.2415667266845703,
+                0.24151962280273437,
+                0.24177253723144532,
+                0.2415749053955078,
+                0.24157594299316407,
+                0.24172647094726563,
+                0.24174490356445313,
+                0.2417664031982422,
+                0.24172134399414064,
+                0.24179916381835936,
+                0.24168345642089845,
+                0.24153701782226564,
+                0.24150323486328126,
+                0.24169676208496094,
+                0.2416660461425781,
+                0.2417039337158203,
+                0.2417664031982422,
+                0.24159539794921875,
+                0.2418032989501953,
+                0.2417274932861328,
+                0.2416680908203125,
+                0.24169573974609376,
+                0.24168960571289064,
+                0.2416680908203125,
+                0.24168960571289064,
+                0.24173977661132812,
+                0.2416609344482422
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 1655.217216282705
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "decode": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 3385.741312,
+            "max_vram": 7077.888,
+            "max_reserved": 6593.445888,
+            "max_allocated": 6122.28864
+        },
+        "latency": {
+            "unit": "s",
+            "mean": 14.189453353881829,
+            "stdev": 0,
+            "values": [
+                14.189453353881829
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 174.42532409628808
+        },
+        "energy": null,
+        "efficiency": null
+    },
+    "per_token": {
+        "memory": null,
+        "latency": {
+            "unit": "s",
+            "mean": 0.143327811655372,
+            "stdev": 0.0022867196159492443,
+            "values": [
+                0.13951898193359374,
+                0.13945138549804686,
+                0.13960397338867186,
+                0.13967257690429688,
+                0.13968896484375,
+                0.13975347900390625,
+                0.13986099243164063,
+                0.13998284912109374,
+                0.14005349731445313,
+                0.14017945861816405,
+                0.14014259338378907,
+                0.14040371704101562,
+                0.1403453369140625,
+                0.1405982666015625,
+                0.1405050811767578,
+                0.14077542114257813,
+                0.14066073608398438,
+                0.14082354736328126,
+                0.14084197998046874,
+                0.14116557312011718,
+                0.1409556427001953,
+                0.14115122985839842,
+                0.14108876037597656,
+                0.1414082489013672,
+                0.14131814575195312,
+                0.1414615020751953,
+                0.14137344360351561,
+                0.14176358032226563,
+                0.14150962829589844,
+                0.141765625,
+                0.1416663055419922,
+                0.14203085327148438,
+                0.14181887817382813,
+                0.14205952453613283,
+                0.14198272705078124,
+                0.14248959350585938,
+                0.14217625427246094,
+                0.14242201232910157,
+                0.1422592010498047,
+                0.1427097625732422,
+                0.1424435272216797,
+                0.14264012145996094,
+                0.1426616668701172,
+                0.14317872619628907,
+                0.14284902954101564,
+                0.1429381103515625,
+                0.14289715576171874,
+                0.14333030700683594,
+                0.1430476837158203,
+                0.14330368041992186,
+                0.14318899536132812,
+                0.1438074951171875,
+                0.14332722473144532,
+                0.14364364624023437,
+                0.14344908142089843,
+                0.1440010223388672,
+                0.14353511047363282,
+                0.14397030639648437,
+                0.14398361206054688,
+                0.14445671081542968,
+                0.1439303741455078,
+                0.14429592895507812,
+                0.14409834289550782,
+                0.14469013977050782,
+                0.14440447998046874,
+                0.14462567138671875,
+                0.14453146362304686,
+                0.1451182098388672,
+                0.1446297607421875,
+                0.14496357727050782,
+                0.14478643798828125,
+                0.14544178771972657,
+                0.14492466735839843,
+                0.14537318420410156,
+                0.14522982788085936,
+                0.1460438995361328,
+                0.1452605438232422,
+                0.14575718688964845,
+                0.1454571533203125,
+                0.14606643676757813,
+                0.14558003234863282,
+                0.14593434143066406,
+                0.1458831329345703,
+                0.14647705078125,
+                0.1459271697998047,
+                0.14626509094238282,
+                0.14605311584472655,
+                0.1467658233642578,
+                0.1461995544433594,
+                0.14658253479003908,
+                0.14628863525390626,
+                0.14716517639160157,
+                0.14658253479003908,
+                0.14690304565429688,
+                0.14673715209960939,
+                0.14730650329589845,
+                0.1468272705078125,
+                0.14720819091796875,
+                0.14704537963867187
+            ]
+        },
+        "throughput": {
+            "unit": "tokens/s",
+            "value": 174.42532409628808
+        },
+        "energy": null,
+        "efficiency": null
+    }
+}