metadata

base_model: unsloth/mistral-7b-v0.3-bnb-4bit
language:
  - ja
license: apache-2.0
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - mistral
  - trl
  - sft

Model Overview:

日本語で質問すると、日本語で回答を得られます。

This is a fine-tuned unsloth/mistral-7b-v0.3-bnb-4bit for Japanese.
You can ask in Japanese to get the answers in Japanese.
Made possible thanks to a detailed notebook from Unsloth.

Datasets Used:

"wikimedia/wikipedia:" (20231101.ja) for continued pretaining
"FreedomIntelligence/alpaca-gpt4-japanese" for instruction fine tuning

Inference Template:

from transformers import pipeline

pipe = pipeline("text-generation", model="Ryu-m0m/16bit-japanese-finetuned-mistral-7b-v0")

instruction = "侍の歴史を簡単に教えてください。" # Can you give us a brief history of the Samurai?
response = pipe(
    instruction,
    max_length=150,         # Controls the length of the output
    temperature=0.7,        # Controls randomness; lower is more deterministic
    top_k=50,               # Limits sampling pool to top 50 tokens
    top_p=0.9,              # Nucleus sampling, considering tokens up to 90% cumulative probability
    num_return_sequences=1  # Generates only one response
)

print(response[0]['generated_text'])

Contact me

Any questions or quality issues found in the model, please feel free to contact me.

Uploaded model

Developed by: Ryu-m0m
License: apache-2.0
Finetuned from model : unsloth/mistral-7b-v0.3-bnb-4bit

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