Thermostatic
/

neuraltranslate-27b-mt-nah-es-v1

@@ -33,20 +33,18 @@ You can donate towards this project at my ko-fi! https://ko-fi.com/irvingernesto
 <!-- Provide a longer summary of what this model is. -->
 - **Developed by:** Irving Ernesto
-- **Funded by [optional]:** Irving Ernesto
-- **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]
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-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
 ## Uses
@@ -58,29 +56,17 @@ You can donate towards this project at my ko-fi! https://ko-fi.com/irvingernesto
 [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 -->
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 ### Out-of-Scope Use
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-## Bias, Risks, and Limitations
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 ### 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
@@ -88,127 +74,3 @@ Use the code below to get started with the model.
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-## Training Details
-### Training Data
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-### Training Procedure
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-#### Preprocessing [optional]
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-#### 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 -->
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-## Evaluation
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-### Results
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-#### Summary
-## Model Examination [optional]
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-## 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).
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-## Technical Specifications [optional]
-### Model Architecture and Objective
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 <!-- Provide a longer summary of what this model is. -->
 - **Developed by:** Irving Ernesto
+- **Funded by:** Irving Ernesto
+- **Model type:** Large Language Model
+- **Language(s) (NLP):** Spanish & Náhuatl
+- **License:** MIT
+- **Finetuned from model [optional]:** Gemma 3 27b
 ### Model Sources [optional]
 <!-- Provide the basic links for the model. -->
+- **Repository:** https://github.com/Sekinal/neuraltranslate-nahuatl
+- **Demo:** https://huggingface.co/spaces/Thermostatic/neuraltranslate-27b-mt-nah-es
 ## Uses
 [More Information Needed]
 ### Out-of-Scope Use
 <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+Translating between any other two pair of languages. E.g., trying to use the model to translate Náhuatl to English won't work. Even using the model to translate from Spanish to Náhuatl is not reliable.
 ### Recommendations
 <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+Use the recommended settings for the Gemma 3 model for inference: `temperature = 1.0, top_p = 0.95, top_k = 64`
 ## How to Get Started with the Model
 [More Information Needed]