Ubuntu Cli Assistant LoRA
This model is a fine-tuned version of unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit. It has been trained using TRL.
Modellquelle
- Art
- LoRA
- Dateigröße
- 92,8 MB
- Basismodell
- unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
- Version
- vadapter_model
- Aktualisiert
- 3. Okt. 2026
- Verleger
- @Ilyankhan69
- Downloads
- 0
- Aufgaben
- Textgenerierung
- Quelle
- Hugging Face
Quellenbeschreibung
Model Card for ubuntu-cli-assistant-lora
This model is a fine-tuned version of unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit. It has been trained using TRL.
Quick start
from transformers import pipeline
question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="Ilyankhan69/ubuntu-cli-assistant-lora", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
Training procedure
This model was trained with SFT.
Framework versions
- TRL: 0.24.0
- Transformers: 5.5.0
- Pytorch: 2.10.0+cu128
- Datasets: 4.3.0
- Tokenizers: 0.22.2
Citations
Cite TRL as:
@misc{vonwerra2022trl,
title = {{TRL: Transformer Reinforcement Learning}},
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
year = 2020,
journal = {GitHub repository},
publisher = {GitHub},
howpublished = {\url{https://github.com/huggingface/trl}}
}
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 3. Okt.
Modellartefakte
2 Artefakte
Modellartefakte
2 Artefakteadapter_model.safetensors
safetensors · 92,8 MB · SHA-256 3be0f1d4afc1…11bf · Hugging Face
Herunterladenlast-checkpoint/adapter_model.safetensors
safetensors · 92,8 MB · SHA-256 3be0f1d4afc1…11bf · Hugging Face
HerunterladenQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- base_model: unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit library_name: transformers model_name: ubuntu-cli-assistant-lora tags: - generated_from_trainer - unsloth - trl - sft licence: license --- # Model Card for ubuntu-cli-assistant-lora This model is a fine-tuned version of [unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit](https://huggingface.co/unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit). It has been trained using [TRL](https://github.com/huggingface/trl). ## Quick start ```python from transformers import pipeline question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" generator = pipeline("text-generation", model="Ilyankhan69/ubuntu-cli-assistant-lora", device="cuda") output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] print(output["generated_text"]) ``` ## Training procedure This model was trained with SFT. ### Framework versions - TRL: 0.24.0 - Transformers: 5.5.0 - Pytorch: 2.10.0+cu128 - Datasets: 4.3.0 - Tokenizers: 0.22.2 ## Citations Cite TRL as: ```bibtex @misc{vonwerra2022trl, title = {{TRL: Transformer Reinforcement Learning}}, author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec}, year = 2020, journal = {GitHub repository}, publisher = {GitHub}, howpublished = {\url{https://github.com/huggingface/trl}} } ```
Source context: 0 downloads · 0 likes · Library transformers · Repo Ilyankhan69/ubuntu-cli-assistant-lora
Source context: 0 downloads · 0 likes · Library transformers · Repo Ilyankhan69/ubuntu-cli-assistant-lora
