by AarambhDevHub · Agent Tool · ★ 45
aarambh-ai Sanskrit: beginning — A ground-up LLM in Rust A decoder-only hybrid language model with GQA plus Gated DeltaNet, four model scales, a three-level thinking engine, full training pipeline, quantisation (INT8/INT4/GGUF), LoRA/QLoRA/DoRA fine-tuning, GRPO and DPO alignment, exact speculative decoding, grammar-constrained function calling, custom CUDA + SIMD kernels, safety guardrails, self-learning loop, evaluation harness, a frozen-encoder vision projector path, and an OpenAI-compatible inference server — all in one clean 17-crate Rust workspace.
| Stars | 45 |
| Forks | 13 |
| Language | Rust |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 67.3192524682929/100 |
| Last Updated | 2026-07-29 |
| Created | 2026-06-24 |
| Platforms | rust |
| Est. Tokens | ~34k |
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aarambh-ai is 🦀 Decoder-only LLM built from scratch in pure Rust using Candle — no Python, no PyTorch. Gated DeltaNet + sparse attention, fine-grained MoE, native video/document understanding, long-horizon tool ag. It is categorized as a Agent Tool with 45 GitHub stars.
aarambh-ai is primarily written in Rust. It covers topics such as ai-agents, candle, decoder-only.
You can find installation instructions and usage details in the aarambh-ai GitHub repository at github.com/AarambhDevHub/aarambh-ai. The project has 45 stars and 13 forks, indicating an active community.
aarambh-ai is released under the Apache-2.0 license, making it free to use and modify according to the license terms.