Text Generation
Transformers.js
ONNX
qwen3_5_text
webgpu
onnxruntime
onnxruntime-genai
q4
q4f16
int4
cuda
Mixture of Experts
conversational
Instructions to use webbrain-one/Ling-3.0-tiny-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use webbrain-one/Ling-3.0-tiny-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'webbrain-one/Ling-3.0-tiny-ONNX');
File size: 1,656 Bytes
a8980e0 | 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 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | {
"model": {
"bos_token_id": 1,
"context_length": 131072,
"decoder": {
"session_options": {
"log_id": "onnxruntime-genai",
"provider_options": [
{
"cuda": {
"enable_cuda_graph": "0"
}
}
]
},
"filename": "model.onnx",
"head_size": 192,
"hidden_size": 1536,
"inputs": {
"input_ids": "input_ids",
"attention_mask": "attention_mask",
"past_key_names": "past_key_values.%d.key",
"past_value_names": "past_key_values.%d.value"
},
"outputs": {
"logits": "logits",
"present_key_names": "present.%d.key",
"present_value_names": "present.%d.value"
},
"num_attention_heads": 16,
"num_hidden_layers": 24,
"num_key_value_heads": 16
},
"eos_token_id": 156895,
"pad_token_id": 156892,
"type": "qwen3_5_text",
"vocab_size": 157184
},
"search": {
"diversity_penalty": 0.0,
"do_sample": false,
"early_stopping": true,
"length_penalty": 1.0,
"max_length": 131072,
"min_length": 0,
"no_repeat_ngram_size": 0,
"num_beams": 1,
"num_return_sequences": 1,
"past_present_share_buffer": true,
"repetition_penalty": 1.0,
"temperature": 1.0,
"top_k": 20,
"top_p": 0.95
}
} |