by AarambhDevHub · Agent Tool · ★ 57
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aarambh-studio From first principles. From zero. From Rust. Sanskrit: beginning — a ground-up language model system in Rust. aarambh-studio is a decoder-only language model implementation built with Rust and Candle. The repository covers the full engineering path: tokenization, model construction, training, inference, quantization, adapter tuning, alignment, evaluation, multimodal input, safety, and an OpenAI-compatible server. The production source release is v3.0.0, with hybrid Gated DeltaNet, DeepSeek Sparse Attention, fine-grained MoE with shared experts, Multi-Token Prediction (MTP), on-policy distillation, native quantization-aware training, native video/document input, bounded long-horizon tool-use chains, persistent forgetting diagnostics, and Max thinking mode (16,384-token budget). v4.0.0-alpha.1 begins the v4 arc with Multi-Head Latent Attention (Phase 41) — a third attention kind that compresses the KV cache into a single low-rank latent per token. [!IMPORTANT] This is a source and engineering project. It does not publish crates to crates.io and does not ship pretrained checkpoints, adapters, GGUF files
| Stars | 57 |
| Forks | 17 |
| Language | Rust |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 69.3111536811619/100 |
| Last Updated | 2026-08-02 |
| Created | 2026-06-24 |
| Platforms | rust |
| Est. Tokens | ~25k |
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aarambh-studio 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 57 GitHub stars.
aarambh-studio 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-studio GitHub repository at github.com/AarambhDevHub/aarambh-studio. The project has 57 stars and 17 forks, indicating an active community.
aarambh-studio is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
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