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roadz/
qwen3-1.7b-oxxroad

Name: qwen3-1.7b-oxxroad
Availability: InStock

safetensors

qwen3

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Qwen3 1.7B

This repository follows the structure of a Qwen3-style causal language model on Hugging Face. It includes model configuration, tokenizer assets, generation configuration, and weight artifacts.

Contents:

config.json — model configuration (Qwen3 fields)
generation_config.json — text generation defaults
tokenizer.json — tokenizer (fast) with special tokens
tokenizer_config.json — tokenizer settings
special_tokens_map.json — mapping for special tokens
vocab.json, merges.txt — BPE assets
model.safetensors — weights (safetensors, single file)

Notes:

The tokenizer uses a compact vocabulary and special tokens typical for causal LMs.

Example usage:

python

from transformers import AutoTokenizer, AutoModelForCausalLM
tok = AutoTokenizer.from_pretrained("<your-namespace>/<your-model-id>")
model = AutoModelForCausalLM.from_pretrained("<your-namespace>/<your-model-id>")

How to publish to the Hub:

Create a new repo on the Hugging Face Hub (private or public).
Run huggingface-cli login.
From this folder, run git init, git remote add origin <your-hf-repo-url>, git add -A, git commit -m "init", git push -u origin main.

roadz/qwen3-1.7b-oxxroad

Qwen3 1.7B

roadz/
qwen3-1.7b-oxxroad