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Mt Thai LoRA v2

This model is a fine-tuned version of tencent/HY-MT1.5-1.8B. It has been trained using TRL.

ArtLoRABasismodelltencent/HY-MT1.5-1.8BVersionadapter_modelVerleger@StalemartyrCBewertung

Modellquelle

Art
LoRA
Dateigröße
996 MB
Basismodell
tencent/HY-MT1.5-1.8B
Version
vadapter_model
Aktualisiert
1. Okt. 2026
Verleger
@Stalemartyr
Downloads
0
Quelle
Hugging Face

Quellenbeschreibung

Model Card for mt-thai-LoRa-v2

This model is a fine-tuned version of tencent/HY-MT1.5-1.8B. 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="Stalemartyr/mt-thai-LoRa-v2", 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: 1.2.0
  • Transformers: 5.6.2
  • Pytorch: 2.10.0+cu128
  • Datasets: 4.8.4
  • 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}
}

Quellen

1 Quelle
Hugging FacePrimärVersion 0c8de1bdab1a865435f899d4a8676a1d4d2032e2
huggingface.co/Stalemartyr/mt-thai-LoRa-v2/tree/0c8de1bdab1a865435f899d4a8676a1d4d2032e2

Verifiziert 1. Okt.

Modellartefakte

1 Artefakt

adapter_model.safetensors

safetensors · 996 MB · SHA-256 1e8b14ccc88b…d5e7 · Hugging Face

Herunterladen

Quellenauszüge

3 Auszüge

--- base_model: tencent/HY-MT1.5-1.8B library_name: transformers model_name: mt-thai-LoRa-v2 tags: - generated_from_trainer - trl - sft licence: license --- # Model Card for mt-thai-LoRa-v2 This model is a fine-tuned version of [tencent/HY-MT1.5-1.8B](https://huggingface.co/tencent/HY-MT1.5-1.8B). 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="Stalemartyr/mt-thai-LoRa-v2", 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: 1.2.0 - Transformers: 5.6.2 - Pytorch: 2.10.0+cu128 - Datasets: 4.8.4 - 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 Stalemartyr/mt-thai-LoRa-v2

Source context: 0 downloads · 0 likes · Library transformers · Repo Stalemartyr/mt-thai-LoRa-v2