roadz/qwen3-1.7b-oxxroad

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:

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:

1. Create a new repo on the Hugging Face Hub (private or public).
2. Run huggingface-cli login.
3. 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.