You can deploy this model and start earning money today!

tokiers/
gte-Qwen2-7B-instruct

Name: gte-Qwen2-7B-instruct
Availability: InStock

Views

No views yet

gte-Qwen2-7B-instruct

Pre-built tokie tokenizer for Alibaba-NLP/gte-Qwen2-7B-instruct.

Quick Start (Python)

pip install tokie

python

import tokie

tokenizer = tokie.Tokenizer.from_pretrained("tokiers/gte-Qwen2-7B-instruct")
encoding = tokenizer.encode("Hello, world!")
print(encoding.ids)
print(encoding.attention_mask)

Quick Start (Rust)

toml

[dependencies]
tokie = { version = "0.0.4", features = ["hf"] }

rust

use tokie::Tokenizer;

let tokenizer = Tokenizer::from_pretrained("tokiers/gte-Qwen2-7B-instruct").unwrap();
let encoding = tokenizer.encode("Hello, world!", true);
println!("{:?}", encoding.ids);

Files

tokenizer.tkz — tokie binary format (~10x smaller, loads in ~5ms)
tokenizer.json — original HuggingFace tokenizer (if available)

About tokie

50x faster tokenization, 10x smaller model files, 100% accurate.

tokie is a drop-in replacement for HuggingFace tokenizers, built in Rust. See GitHub for benchmarks and documentation.

License

MIT OR Apache-2.0 (tokie library). Original model files retain their original license from Alibaba-NLP/gte-Qwen2-7B-instruct.