CoolFace
Modelpublic

glogwa68/Qwen3-0.6B-DISTILL-glm-4.7-think

sourceHugging Faceapache-2.0updated 9mo agoView on Hugging Face
8likes63downloads
Model Card

Qwen3-0.6B-DISTILL-glm-4.7-think

This model is a fine-tuned version of Qwen/Qwen3-0.6B trained on high-reasoning conversational data from GLM 4.7 by Z.ai.

Model Details

  • —Base Model: Qwen/Qwen3-0.6B
  • —Fine-tuning Dataset: TeichAI/glm-4.7-2000x
  • —Context Length: 1048576 tokens
  • —Special Feature: Thinking/Reasoning with <think> tags

Usage

Transformers

python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("glogwa68/Qwen3-0.6B-DISTILL-glm-4.7-think")
tokenizer = AutoTokenizer.from_pretrained("glogwa68/Qwen3-0.6B-DISTILL-glm-4.7-think")

messages = [{"role": "user", "content": "Hello, how are you?"}]
inputs = tokenizer.apply_chat_template(messages, return_tensors="pt", add_generation_prompt=True)
outputs = model.generate(inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Training Details

  • —Epochs: 2
  • —Learning Rate: 2e-5
  • —Batch Size: 8 (with gradient accumulation)
  • —Precision: FP16
  • —Hardware: Multi-GPU with DeepSpeed ZeRO-3

License

Apache 2.0