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- base_model: unsloth/deepseek-r1-distill-llama-8b-bnb-4bit
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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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-
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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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-
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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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-
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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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- #### 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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- #### 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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- **APA:**
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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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- ## Model Card Authors [optional]
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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 0.15.0
 
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  ---
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+ license: apache-2.0
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+ datasets:
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+ - Sweaterdog/Andy-4-preview-1
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+ language:
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+ - en
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+ base_model:
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+ - unsloth/DeepSeek-R1-Distill-Llama-8B-bnb-4bit
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  ---
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+ # 🌵Andy-4-preview-rough🧑‍💻
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+ This model is NOT finished, it is the first part of the Andy-4-preview fine tune
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+ ## Why?
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+ Andy-4 has the potential to be very very good. By making a preview of it, and taking in user information, we can make the full model of Andy-4 even better.
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+ ## How?
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+ Andy-4-preview-rough is the first part of a fine tune of a total of 6 epochs, of which 2 were a heavier training regime. This is that model.
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+ The modelfile for Andy-4-preview-rough at the moment has been copy-pasted from Andy-3.6, it may not work as best as it could. If you find another, better modelfile, please open a PR for it, as well as describe how its better.
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+ -- Thats it for this repo, I didn't wanna put a whole lot of effort into something that would be around for like a week or two ;p
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+ -- This is the LoRA Adapter, you can use it if you want, but Andy-3.6-LoRA is more stable
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+ Example codeblock from Andy-4-preview-rough *(From the Q4_K_M version)*:
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+ ```javascript
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+ // Build a small, 5x7 starter cabin with oak planks, including a door and a wooden roof
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+ const buildCabin = async (bot) => {
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+ const position = world.getPosition(bot);
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+ const startX = Math.floor(position.x);
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+ const startY = Math.floor(position.y);
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+ const startZ = Math.floor(position.z);
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+ // Build the walls
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+ for (let x = 0; x < 5; x++) {
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+ for (let y = 0; y < 4; y++) {
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+ await skills.placeBlock(bot, 'oak_planks', startX + x, startY + y, startZ);
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+ await skills.placeBlock(bot, 'oak_planks', startX + x, startY + y, startZ + 6);
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+ }
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+ }
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+ for (let z = 0; z < 7; z++) {
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+ for (let y = 0; y < 4; y++) {
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+ await skills.placeBlock(bot, 'oak_planks', startX, startY + y, startZ + z);
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+ await skills.placeBlock(bot, 'oak_planks', startX + 4, startY + y, startZ + z);
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+ }
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+ }
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+ // Add a door in the middle of one side
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+ await skills.placeBlock(bot, 'oak_door', startX + 2, startY, startZ);
 
 
 
 
 
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+ // Build the roof
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+ for (let x = 0; x < 5; x++) {
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+ for (let z = 0; z < 7; z++) {
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+ await skills.placeBlock(bot, 'oak_planks', startX + x, startY + 4, startZ + z);
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+ }
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+ }
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+ // Add a wooden roof on top
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+ await skills.placeBlock(bot, 'oak_planks', startX, startY + 5, startZ);
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+ await skills.placeBlock(bot, 'oak_planks', startX + 1, startY + 5, startZ);
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+ await skills.placeBlock(bot, 'oak_planks', startX + 2, startY + 5, startZ);
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+ await skills.placeBlock(bot, 'oak_planks', startX + 3, startY + 5, startZ);
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+ await skills.placeBlock(bot, 'oak_planks', startX + 4, startY + 5, startZ);
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+ for (let z = 1; z < 6; z++) {
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+ await skills.placeBlock(bot, 'oak_planks', startX, startY + 5, startZ + z);
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+ await skills.placeBlock(bot, 'oak_door', startX + 2, startY + 4, startZ + z);
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+ }
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+ };
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+ await buildCabin(bot);
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+ ```