Llama 3.1 Swallow 8B Instruct V0.3

About Llama 3.1 Swallow 8B Instruct V0.3

Llama 3.1 Swallow 8B is a large language model that was built by continual pre-training on the Meta Llama 3.1 8B. Llama 3.1 Swallow enhanced the Japanese language capabilities of the original Llama 3.1 while retaining the English language capabilities. Swallow used approximately 200 billion tokens that were sampled from a large Japanese web corpus (Swallow Corpus Version 2), Japanese and English Wikipedia articles, and mathematical and coding contents, etc (see the Training Datasets section of the base model) for continual pre-training. The instruction-tuned models (Instruct) were built by supervised fine-tuning (SFT) on the synthetic data specially built for Japanese.

Model Specifications

Other Model Lineup

Compare all models from Other to find the best fit

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Gemma 3n 4B

Google

Input: Free

Output: Free

Context: 33k

Qwen2.5-VL 7B Instruct

Alibaba Qwen

Input: Free

Output: Free

Context: 33k

Seedream 4.5

ByteDance

Input: Free

Output: Free

Context: 4k

FLUX.2 Max

Black Forest Labs

Input: Free

Output: Free

Context: 47k

🚀 Quick Start

Get started with Llama 3.1 Swallow 8B Instruct V0.3 API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="tokyotech-llm/llama-3.1-swallow-8b-instruct-v0.3",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Continue Your Decision