# prabanta-dev/janas

<https://repo.masters-masters.com/en/repos/prabanta-dev/janas>

[Home](https://repo.masters-masters.com/en) › [prabanta-dev](https://repo.masters-masters.com/en/owners/prabanta-dev) › [janas](https://repo.masters-masters.com/en/repos/prabanta-dev/janas)

prabanta-dev/janas has 583 stars on GitHub. Its RepoMasters card: Alpha tier. 37 tok/s from Qwen3-Next-80B (48 GB) on a 32 GB laptop, 24 without drafts vs 2.8…

| Field | Value |
| --- | --- |
| Owner | [prabanta-dev](https://repo.masters-masters.com/en/owners/prabanta-dev) |
| Stars | 583 |
| Forks | 51 |
| Language | [C](https://repo.masters-masters.com/en/languages/c) |
| License | GPL-3.0 |
| Created | 2026 |
| Topics | avx2, c, cpu-inference, gguf, inference-engine, linux, llm, local-llm, mixture-of-experts, moe |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [prabanta-dev/janas](https://github.com/prabanta-dev/janas) |

## Repository

37 tok/s from Qwen3-Next-80B (48 GB) on a 32 GB laptop, 24 without drafts vs 2.8 for llama.cpp; reading 62 vs 16 tok/s. Faster than llama.cpp on all 13 models compared in Q4\_K\_M. LLMs bigger than your RAM, pure C, CPU or GPU.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
