Transformers
Safetensors
llama
speculative-decoding
eagle3
specforge
sglang
qwen3
draft-model
sharegpt
text-generation-inference
Instructions to use huluhuluu/qwen3-4b-instruct-2507-eagle3-sharegpt-epoch3-step70000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huluhuluu/qwen3-4b-instruct-2507-eagle3-sharegpt-epoch3-step70000 with Transformers:
# Load model directly from transformers import AutoTokenizer, LlamaForCausalLMEagle3 tokenizer = AutoTokenizer.from_pretrained("huluhuluu/qwen3-4b-instruct-2507-eagle3-sharegpt-epoch3-step70000") model = LlamaForCausalLMEagle3.from_pretrained("huluhuluu/qwen3-4b-instruct-2507-eagle3-sharegpt-epoch3-step70000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c80809654a86747025472ea7f6b7982de0f0ffc55dea42072d356825f2b9cdef
- Size of remote file:
- 405 MB
- SHA256:
- 90070d36b34ff53360cdb9fa41287d3f70d1ac0c826182608b88d480711a0549
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.