This model is a fine-tuned version of unsloth/Llama-3.2-1B-Instruct. It has been trained using TRL. This model was trained with SFT.
Independent publisher
Julia Rezvani
jlsrls
Models in Library18
Datasets in Library0
Models on Hugging Face140
Followers—
Compare the published evidence
This profile connects the 18 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.
Models
This model is a fine-tuned version of unsloth/Llama-3.2-1B-Instruct. It has been trained using TRL. This model was trained with SFT.
This is the model card of a transformers model that has been pushed on the Hub. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
This is the model card of a transformers model that has been pushed on the Hub. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
This is the model card of a transformers model that has been pushed on the Hub. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
This is the model card of a transformers model that has been pushed on the Hub. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
This is the model card of a transformers model that has been pushed on the Hub. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
This is the model card of a transformers model that has been pushed on the Hub. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
This model is a fine-tuned version of unsloth/Llama-3.2-1B-Instruct. It has been trained using TRL. This model was trained with SFT.
This is the model card of a transformers model that has been pushed on the Hub. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
This is the model card of a transformers model that has been pushed on the Hub. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
This model is a fine-tuned version of unsloth/Llama-3.2-1B-Instruct. It has been trained using TRL. This model was trained with SFT.
This model is a fine-tuned version of unsloth/Llama-3.2-1B-Instruct. It has been trained using TRL. This model was trained with SFT.
This model is a fine-tuned version of unsloth/Llama-3.2-1B-Instruct. It has been trained using TRL. This model was trained with SFT.
This model is a fine-tuned version of unsloth/Llama-3.2-1B-Instruct. It has been trained using TRL. This model was trained with SFT.
This model is a fine-tuned version of unsloth/Llama-3.2-1B-Instruct. It has been trained using TRL. This model was trained with SFT.
This model is a fine-tuned version of unsloth/Llama-3.2-1B-Instruct. It has been trained using TRL. This model was trained with SFT.
This model is a fine-tuned version of unsloth/Llama-3.2-1B-Instruct. It has been trained using TRL. This model was trained with SFT.