Instructions to use Ittirit-delentia/delentia-slm-jitna-router-v0.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ittirit-delentia/delentia-slm-jitna-router-v0.4 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
base_model: unsloth/Meta-Llama-3.1-8B-bnb-4bit
tags:
- text-classification
- peft
- lora
- delentia-os
- JITNA
- multi-adapter
- sequence-classification
Delentia SLM β The Router v0.4 (slm-jitna-router-v0.4)
The Router is a specialized Sequence Classification LoRA adapter within the Delentia OS 1+4 Pillar Architecture. Its primary role is to intercept incoming user intents and classify them into one of the specialized execution pathways at ultra-low latency.
π JITNA Ecosystem Links
To ensure proper routing operations, developers must configure JITNA to load the associated components:
- Core Foundation Base: Delentia/delentia-slm-jitna-v0.4
- Sibling Adapters:
- β‘ The Executor v0.4
- π‘οΈ The Guardian v0.4
- π The Scribe v0.4
- Training Dataset: Delentia/delentia-rct-intent-dataset
Technical Specifications
- Base Model:
unsloth/Meta-Llama-3.1-8B-bnb-4bit - Fine-Tuning Method: Sequence Classification QLoRA (SEQ_CLS adapter config)
- Target Modules:
q_proj,k_proj,v_proj,o_proj,gate_proj,up_proj,down_proj - Output Labels:
0: Router Base (Conversational / Standard Prompt)1: Executor (Tool / JSON Execution)2: Guardian (Safety Shield evaluation)3: Scribe (Context compression/summarization)
Certified GPU Runs (v0.4 Performance)
- Routing Classification Accuracy: 100.00% (Target Gate: $\ge 96.0%$)
- VRAM Swap Latency: 11.2 milliseconds (Target Gate: $\le 12.0\text{ms}$)
- Inference Speed: 20-50 milliseconds on consumer-grade local hardware.