Instructions to use nicolasembleton/Nanbeige4.2-3B-ToolACE-n3000-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use nicolasembleton/Nanbeige4.2-3B-ToolACE-n3000-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'nicolasembleton/Nanbeige4.2-3B-ToolACE-n3000-ONNX'); - PEFT
How to use nicolasembleton/Nanbeige4.2-3B-ToolACE-n3000-ONNX with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Nanbeige4.2-3B ToolACE LoRA (n3000) — ONNX
Merged LoRA fine-tune of Nanbeige/Nanbeige4.2-3B on
Team-ACE/ToolACE
(n3000 subset). Prefill-only ONNX with num_loops=2 unrolled.
Files
| Path | Notes |
|---|---|
onnx/model.onnx |
Graph (opset 18) |
onnx/model.onnx_data |
Consolidated FP16 weights |
| tokenizer / config | From base + FT |
IO
- input:
input_ids[batch, seq] - output:
logits[batch, seq, vocab] - Prefill (
use_cache=False). Looped Transformer unrolled: 44 layer calls + 2 norms.
Validation
- Unrolled vs stock max abs diff:
0.000e+00 - ORT vs torch max abs diff:
5.273e-02(FP16 tol 5e-2)
Train recipe
- LoRA r=16, attn+MLP (no lm_head)
- TRL SFTTrainer, completion_only_loss
- batch 1 × accum 16, seq 2048, 1 epoch, transformers 4.51
- Adapter:
nanbeige_toolace_r16_n3000
Runtime note
Nanbeige generation on transformers 5.x is broken (DynamicCache + loop KV). Use transformers==4.51.0 for HF/PyTorch inference. ONNX path is independent.
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