Ir para o conteúdo
ModelVerificadoExterno
Baixar

Deepseek Llm 7b Chat Wolf Gen3 S43

This model is a fine-tuned version of deepseek-ai/deepseek-llm-7b-chat. It has been trained using TRL.

TipoLoRAModelo basedeepseek-ai/deepseek-llm-7b-chatVersãoadapter_modelPublicador@MohammadGholizadehCnota

Fonte do modelo

Tipo
LoRA
Tamanho do arquivo
71,5 MB
Modelo base
deepseek-ai/deepseek-llm-7b-chat
Versão
vadapter_model
Atualizado
3 de out. de 2026
Downloads
0
Parâmetros
7B
Tarefas
Geração de texto
Fonte
Hugging Face

Descrição da fonte

Model Card for deepseek-llm-7b-chat-wolf-gen3-s43

This model is a fine-tuned version of deepseek-ai/deepseek-llm-7b-chat. 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="MohammadGholizadeh/deepseek-llm-7b-chat-wolf-gen3-s43", 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: 5.9.0
  • Pytorch: 2.12.0+cu126
  • Datasets: 4.8.5
  • 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}
}

Fontes

1 fonte
Hugging FacePrimárioVersão 76fa4f0b8e9c54851d749f0c4fcc84d72018d450
huggingface.co/MohammadGholizadeh/deepseek-llm-7b-chat-wolf-gen3-s43/tree/76fa4f0b8e9c54851d749f0c4fcc84d72018d450

Verificado 3 de out.

Artefatos de modelo

1 artefato

adapter_model.safetensors

safetensors · 71,5 MB · SHA-256 dd2ec1c5c2e5…8394 · Hugging Face

Baixar

Trechos de fonte

3 trechos

--- base_model: deepseek-ai/deepseek-llm-7b-chat library_name: transformers model_name: deepseek-llm-7b-chat-wolf-gen3-s43 tags: - generated_from_trainer - sft - trl licence: license --- # Model Card for deepseek-llm-7b-chat-wolf-gen3-s43 This model is a fine-tuned version of [deepseek-ai/deepseek-llm-7b-chat](https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat). 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="MohammadGholizadeh/deepseek-llm-7b-chat-wolf-gen3-s43", 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: 5.9.0 - Pytorch: 2.12.0+cu126 - Datasets: 4.8.5 - 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 MohammadGholizadeh/deepseek-llm-7b-chat-wolf-gen3-s43

Source context: 0 downloads · 0 likes · Library transformers · Repo MohammadGholizadeh/deepseek-llm-7b-chat-wolf-gen3-s43