metadata
library_name: transformers
tags:
- chat
- tool-calling
- instruction-tuned
- edge-device
- conversational
license: mit
datasets:
- Open-Orca/OpenOrca
base_model:
- HuggingFaceTB/SmolLM2-360M-Instruct
Model Card for thirdeyeai/elevate-360m
Model Summary
360M parameter transformer model trained for efficient chat completion and tool call prediction on edge devices. Suitable for low-latency applications.
Model Details
- Developed by: Thirdeye AI
- Finetuned from model: HuggingFaceTB/SmolLM2-360M-Instruct
- Model type: Causal decoder-only transformer
- Language(s): English
- License: apache-2.0
- Hardware: Trained on 1x A100 GPU
- Training time: < 24 hours
Model Sources
- Repository: https://huggingface.co/thirdeyeai/elevate-360m
Uses
Direct Use
Primarily for chat completion and tool call prediction in edge environments with constrained resources.
Out-of-Scope Use
Not optimized for multi-language support, long-context reasoning, or open-ended generation without tool grounding.
Bias, Risks, and Limitations
Trained on publicly available instruction-following datasets. May reflect biases present in those datasets. Not suitable for high-stakes or safety-critical applications.
Recommendations
Use only with proper evaluation and safety checks in deployment environments. Validate outputs before taking action.