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.
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Model tree for Ryu-m0m/16bit-japanese-finetuned-mistral-7b-v0
Base model
mistralai/Mistral-7B-v0.3
Quantized
unsloth/mistral-7b-v0.3-bnb-4bit