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Llama 3.1 8b Phaedo Ext Xl344

This model is a fine-tuned version of unsloth/Meta-Llama-3.1-8B-Instruct. It has been trained using TRL.

TipoLoRAModelo baseunsloth/Meta-Llama-3.1-8B-InstructVersiónadapter_modelPublicador@galavoxxCcalidad

Fuente del modelo

Tipo
LoRA
Tamaño del archivo
160 MB
Modelo base
unsloth/Meta-Llama-3.1-8B-Instruct
Versión
vadapter_model
Actualizado
6 oct 2026
Publicador
@galavoxx
Descargas
0
Parámetros
8B
Fuente
Hugging Face

Descripción de la fuente

Model Card for llama-3.1-8b-phaedo-ext-xl344

This model is a fine-tuned version of unsloth/Meta-Llama-3.1-8B-Instruct. 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="galavoxx/llama-3.1-8b-phaedo-ext-xl344", 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: 1.5.1
  • Transformers: 5.10.2
  • Pytorch: 2.12.0
  • Datasets: 5.0.0
  • Tokenizers: 0.22.2

Citations

Cite TRL as:

@software{vonwerra2020trl,
  title   = {{TRL: Transformers Reinforcement Learning}},
  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
  license = {Apache-2.0},
  url     = {https://github.com/huggingface/trl},
  year    = {2020}
}

Fuentes

1 fuente
Hugging FacePrincipalVersión d7f8f616286d8496e1f6ff5ccd1cad70e13f9083
huggingface.co/galavoxx/llama-3.1-8b-phaedo-ext-xl344/tree/d7f8f616286d8496e1f6ff5ccd1cad70e13f9083

Verificado 1 sept

Artefactos del modelo

1 artefacto

adapter_model.safetensors

safetensors · 160 MB · SHA-256 7d8afe4470a1…8639 · Hugging Face

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Extractos de fuentes

3 extractos

--- base_model: unsloth/Meta-Llama-3.1-8B-Instruct library_name: transformers model_name: llama-3.1-8b-phaedo-ext-xl344 tags: - generated_from_trainer - hf_jobs - sft - trl licence: license --- # Model Card for llama-3.1-8b-phaedo-ext-xl344 This model is a fine-tuned version of [unsloth/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct). 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="galavoxx/llama-3.1-8b-phaedo-ext-xl344", 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: 1.5.1 - Transformers: 5.10.2 - Pytorch: 2.12.0 - Datasets: 5.0.0 - Tokenizers: 0.22.2 ## Citations Cite TRL as: ```bibtex @software{vonwerra2020trl, title = {{TRL: Transformers Reinforcement Learning}}, author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin}, license = {Apache-2.0}, url = {https://github.com/huggingface/trl}, year = {2020} } ```

Source context: 0 downloads · 0 likes · Library transformers · Repo galavoxx/llama-3.1-8b-phaedo-ext-xl344

Source context: 0 downloads · 0 likes · Library transformers · Repo galavoxx/llama-3.1-8b-phaedo-ext-xl344