Transformers
Safetensors
llama
speculative-decoding
eagle3
specforge
sglang
qwen3
draft-model
sharegpt
sliding-window-512
text-generation-inference
Instructions to use huluhuluu/qwen3-4b-instruct-2507-eagle3-sharegpt-sw512-epoch2-step60000 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-sw512-epoch2-step60000 with Transformers:
# Load model directly from transformers import AutoTokenizer, LlamaForCausalLMEagle3 tokenizer = AutoTokenizer.from_pretrained("huluhuluu/qwen3-4b-instruct-2507-eagle3-sharegpt-sw512-epoch2-step60000") model = LlamaForCausalLMEagle3.from_pretrained("huluhuluu/qwen3-4b-instruct-2507-eagle3-sharegpt-sw512-epoch2-step60000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 792 Bytes
e80dbe2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | {
"architectures": [
"LlamaForCausalLMEagle3"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 151643,
"draft_vocab_size": 32000,
"dtype": "bfloat16",
"eos_token_id": 151645,
"head_dim": 80,
"hidden_act": "silu",
"hidden_size": 2560,
"initializer_range": 0.02,
"intermediate_size": 9728,
"max_position_embeddings": 262144,
"mlp_bias": false,
"model_type": "llama",
"num_attention_heads": 32,
"num_hidden_layers": 1,
"num_key_value_heads": 8,
"pad_token_id": 0,
"pretraining_tp": 1,
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 10000.0,
"sliding_window": 512,
"tie_word_embeddings": false,
"transformers_version": "4.57.1",
"use_cache": true,
"use_sliding_window": true,
"vocab_size": 151936
}
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