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Qwen LoRA Pertanianlv1eng

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...

TypeLoRAModèle de basemeta-llama/Llama-3.2-1B-InstructVersionRevision 0f970a5Éditeur@rijal028CClasse

Source du modèle

Type
LoRA
Taille du fichier
10,8 MB
Modèle de base
meta-llama/Llama-3.2-1B-Instruct
Version
vRevision 0f970a5
Mis à jour
3 oct. 2026
Éditeur
@rijal028
Téléchargements
5
Paramètres
1B
Tâches
Génération de texte
Source
Hugging Face

Description de la source

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Framework versions

  • PEFT 0.18.1

Sources

1 source
Hugging FacePrincipalVersion 0f970a56a8d01ae1b446f88ba205c6e81b903308
huggingface.co/rijal028/qwen-lora-pertanianlv1eng/tree/0f970a56a8d01ae1b446f88ba205c6e81b903308

Vérifié 3 oct.

Artefacts du modèle

1 artefact

adapter_model.safetensors

safetensors · 10,8 MB · SHA-256 fe5aab94da66…9205 · Hugging Face

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Extraits de sources

3 extraits

--- base_model: meta-llama/Llama-3.2-1B-Instruct library_name: peft pipeline_tag: text-generation tags: - base_model:adapter:meta-llama/Llama-3.2-1B-Instruct - lora - sft - transformers - trl --- # 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. --> - **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 filt...

Source context: 5 downloads · 0 likes · Pipeline text-generation · Library peft · Repo rijal028/qwen-lora-pertanianlv1eng

Source context: 19 downloads · 0 likes · Pipeline text-generation · Library peft · Repo rijal028/qwen-lora-pertanianlv1eng