Qwen/Qwen3.5-2B-GGUF
NewAlibaba Qwen3.5 2B edge-optimized model. Hybrid Gated DeltaNet+Attention architecture, 256K context, Apache 2.0. Built for tool-calling agents and multimodal workflows.
agenticmultimodalhybrid-arch
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Qwen/Qwen3.5-0.8B-GGUF
Alibaba Qwen3.5 sub-1B multimodal model. Text+image+video understanding with 262K context. Apache 2.0. Built for lightweight agentic assistants.
How to Use
To get started, install the `transformers` library:
pip install transformersThen, use the following snippet to load the model:
from transformers import AutoTokenizer, AutoModelForCausalLM
model_id = "Qwen/Qwen3.5-0.8B-GGUF"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
# Your inference code here...Available Versions
Model Details
Teacher Model
Qwen3.5-72B
Distillation Method
Knowledge Distillation (Logits)
Training Dataset
Flickr30k (Conceptual)
Primary Task
Multimodal Generation
Performance Metrics (Example)
| Metric | Student Model | Teacher Model |
|---|---|---|
| Model Size | 0.9GB | 8.5GB |
| BLEU Score | 28.5 | 30.1 |