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  1. README.md +175 -63
  2. adapter_config.json +1 -1
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README.md CHANGED
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  ---
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  library_name: peft
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  base_model: cerebras/Cerebras-GPT-256M
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- license: apache-2.0
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- language:
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- - en
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- tags:
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- - pcgml
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- - pcg
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- - biome
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- - terrain
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  ---
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  # Model Card for Model ID
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- Part of bachelor thesis focusing on generating 3d terrain from text.<br>
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- Biome Definition is a json formatted string detailing the biomes and their features. <br>
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- Together with SD Heightmap Generation v3.0, 3d terrain can be procedurally generated.
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-
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  <!-- Provide a quick summary of what the model is/does. -->
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- ## Uses
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- Example Inference:<br>
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- <prompt> Alpine mountains and a forest adorned with red flowers.
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- Result:<br>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- <prompt> Alpine mountains and a forest adorned with red flowers.<br>
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- <biomes> [{'Entities': {'Boulders': [], 'BouldersSpawnrate': 0.0, 'Grass': [{'BaseTint': '#ff0000', 'Id': 'flowers'}], 'GrassSpawnrate': 0.8, 'Trees': [], 'TreesSpawnrate': 0.0}, 'Name':'Alpine Mountains', 'SpawnCondition': {'HeightRange': [0.0, 0.5], 'SlopeRange': [0.0, 0.3]}, 'Texturing': {'GroundTexture': 'grass', 'GroundTextureTint': '#7cfc00', 'SlopeTexture': 'grass', 'SlopeTextureTint': '#7cfc00'}}, {'Entities': {'Boulders': [], 'BouldersSpawnrate': 0.0, 'Grass': [], 'GrassSpawnrate': 0.0, 'Trees': [{'BaseTint': '#8b4513', 'Id': 'tree_large'}], 'TreesSpawnrate': 0.8}, 'Name':'Redwood Forest', 'SpawnCondition': {'HeightRange': [0.0, 0.5], 'SlopeRange': [0.0, 0.3]}, 'Texturing': {'GroundTexture': 'dirt', 'GroundTextureTint': '#7cfc00', 'SlopeTexture':'stone', 'SlopeTextureTint': '#c2c2c2'}}]
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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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- Requires ~3GB VRAM
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- Training Loss: 4%
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- Validation Loss: 6%
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- ## Bias, Risks, and Limitations
 
 
 
 
 
 
 
 
 
 
 
 
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- Model is biased to certain ids like:
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- * textures: grass, dirt, mud, mud_dry, stone, stone_smooth
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- * boulders: boulder_small, boulder_medium, boulder_large
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- * trees: tree_small, tree_medium, tree_large, tree_conifer_small, ...
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- * grass: grass_small, grass_medium, grass_large, grass_dry, flowers
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- Model also has trouble overadjusting tints, leading to oversaturated colorations.
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- Model sometimes continues output. Just end prompt at "}}]".
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- Model sometimes creates incomplete biome definitions or places entities on wrong biome.
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- ## Model Details
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- Finetuned on custom dataset of size 538 json formatted biome definitions consisting of:
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-
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- * Name
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- * SpawnCondition
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- * HeightRange
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- * SlopeRange
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- * Entities
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- * Trees
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- * Id
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- * BaseTint
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- * Boulders
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- * Id
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- * BaseTint
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- * Grass
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- * Id
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- * BaseTint
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- * TreesSpawnrate
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- * BouldersSpawnrate
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- * GrassSpawnrate
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- * Texturing
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- * GroundTexture
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- * GroundTextureTint
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- * SlopeTexture
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- * SlopeTextureTint
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- ### Model Description
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- <!-- Provide a longer summary of what this model is. -->
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- - **Model type:** [PEFT Adapter]
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- - **Language(s) (NLP):** [English]
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- - **License:** [Apache 2.0]
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- ### Model Sources [optional]
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- <!-- Provide the basic links for the model. -->
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- - **Paper [optional]:** [tba]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  - PEFT 0.11.0
 
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  ---
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  library_name: peft
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  base_model: cerebras/Cerebras-GPT-256M
 
 
 
 
 
 
 
 
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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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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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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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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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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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+
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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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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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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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+
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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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+
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+ ## Training Details
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+
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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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+ [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 0.11.0
adapter_config.json CHANGED
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "c_proj",
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  "c_fc",
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  "c_attn"
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  ],
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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+ "c_proc",
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  "c_fc",
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  "c_attn"
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  ],
adapter_model.safetensors CHANGED
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