Instructions to use developerjeremylive/system-one-qwen3.5-4b-scorer-ONNX-etheroi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use developerjeremylive/system-one-qwen3.5-4b-scorer-ONNX-etheroi with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'developerjeremylive/system-one-qwen3.5-4b-scorer-ONNX-etheroi');
Download config.json from developerjeremylive/system-one-qwen3.5-4b-scorer-ONNX-etheroi: direct link, hf CLI and curl.
- Browser
- Download file 2.87 kB
-
https://huggingface.co/developerjeremylive/system-one-qwen3.5-4b-scorer-ONNX-etheroi/resolve/main/config.json
- Command line
-
hf download hf://developerjeremylive/system-one-qwen3.5-4b-scorer-ONNX-etheroi/config.json
-
curl -L -o config.json https://huggingface.co/developerjeremylive/system-one-qwen3.5-4b-scorer-ONNX-etheroi/resolve/main/config.json
2.87 kB
| { | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "attn_output_gate": true, | |
| "eos_token_id": 248044, | |
| "full_attention_interval": 4, | |
| "head_dim": 256, | |
| "hidden_act": "silu", | |
| "hidden_size": 2560, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 9216, | |
| "layer_types": [ | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention" | |
| ], | |
| "linear_conv_kernel_dim": 4, | |
| "linear_key_head_dim": 128, | |
| "linear_num_key_heads": 16, | |
| "linear_num_value_heads": 32, | |
| "linear_value_head_dim": 128, | |
| "max_position_embeddings": 262144, | |
| "mlp_only_layers": [], | |
| "model_type": "qwen3_5_text", | |
| "mtp_num_hidden_layers": 1, | |
| "mtp_use_dedicated_embeddings": false, | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 32, | |
| "num_key_value_heads": 4, | |
| "rms_norm_eps": 1e-06, | |
| "tie_word_embeddings": true, | |
| "use_cache": false, | |
| "vocab_size": 248320, | |
| "mamba_ssm_dtype": "float32", | |
| "rope_parameters": { | |
| "mrope_interleaved": true, | |
| "mrope_section": [ | |
| 11, | |
| 11, | |
| 10 | |
| ], | |
| "rope_type": "default", | |
| "rope_theta": 10000000, | |
| "partial_rotary_factor": 0.25 | |
| }, | |
| "architectures": [ | |
| "Qwen3_5ForSequenceClassification" | |
| ], | |
| "num_labels": 1, | |
| "id2label": { | |
| "0": "score" | |
| }, | |
| "label2id": { | |
| "score": 0 | |
| }, | |
| "pad_token_id": 248044, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.57.0.dev0", | |
| "system_one": { | |
| "description": "Single-pass typed-decision scorer: score every (state, question, option) sequence, then softmax the option logits of each question after dividing by temperature.", | |
| "state_prefix": "State:\n", | |
| "tail_template": "\n\nQuestion:\n{question}\n\nOption:\n{option}", | |
| "max_len": 384, | |
| "truncation": "The state is truncated from its end so the question and option tail always fits.", | |
| "padding_side": "right", | |
| "pooling": "last non-pad token", | |
| "temperature": 1.75, | |
| "lora": { | |
| "r": 16, | |
| "alpha": 32, | |
| "merged": true | |
| } | |
| }, | |
| "transformers.js_config": { | |
| "use_external_data_format": { | |
| "model_q4.onnx": 3, | |
| "model_q4f16.onnx": 3 | |
| }, | |
| "dtype": "q4f16", | |
| "kv_cache_dtype": { | |
| "q4f16": "float16", | |
| "fp16": "float16" | |
| } | |
| } | |
| } | |