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:
- 21878d574e6fd2793c425e06e161ee0876ea313c903f12c0a58d88f2d1c14044
- Size of remote file:
- 4.31 kB
- SHA256:
- 93974d8dafc5a8b30dbf2bfb259124015f981efe0abc419b2b276a8e84414029
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.