msfm/llm-jp-3-13b-ichikara_all

Uploaded model

• Developed by: msfm
• License: apache-2.0
• Finetuned from model : llm-jp/llm-jp-3-13b

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

Example

from unsloth import FastLanguageModel

model, tokenizer = FastLanguageModel.from_pretrained(
    model_name="msfm/llm-jp-3-13b-ichikara_all",
    dtype=dtype,
    load_in_4bit=True,
    trust_remote_code=True,
)
FastLanguageModel.for_inference(model)

input = "野球選手が今シーズン活躍するために取り組むべき5つのことを教えてください。"

prompt = f"""### 指示\n{input}\n### 回答\n"""

inputs = tokenizer([prompt], return_tensors = "pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens = 2048, use_cache = True, do_sample=False, repetition_penalty=1.2)
prediction = tokenizer.decode(outputs[0], skip_special_tokens=True).split('\n### 回答')[-1]