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:
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- Notebooks
- Google Colab
- Kaggle
| 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](https://huggingface.co/Delentia/delentia-slm-jitna-v0.4) | |
| * **Sibling Adapters:** | |
| * β‘ [The Executor v0.4](https://huggingface.co/Delentia/delentia-slm-jitna-executor-v0.4) | |
| * π‘οΈ [The Guardian v0.4](https://huggingface.co/Delentia/delentia-slm-jitna-guardian-v0.4) | |
| * π [The Scribe v0.4](https://huggingface.co/Delentia/delentia-slm-jitna-scribe-v0.4) | |
| * **Training Dataset:** [Delentia/delentia-rct-intent-dataset](https://huggingface.co/datasets/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. | |