llama.cpp fork for significantly improved performance on Ampere (especially RTX 3090 / 3090 Ti): example: 95+ tok/s over a 100K-token generation at temperature 1 for qwen3.8, supporting full 262K ctx. Supports low memory (12gb) configs for 200k+ ctx
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+10
STARS · LAST 30 DAYS
1
PER DAY
#964
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +22 | +10 | +90 |
| Per day | 3 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
llamAmpere gained 10 stars in the last 30 days, about 1 a day, and now has 170. It is about 1 year old and has averaged roughly 170 stars a year. It ranks #964 among C++ repositories and #12,880 across all languages on GitHubRepo.
Trending Record
15
DAYS ON TRENDING
#981
BEST RANK
Sep 29, 2026
FIRST APPEARANCE
Active
STATUS TODAY
llamAmpere has maintained a continuous presence across global trending indexes, peaking at #981. Below is the 30-day activity profile:
💡 Overview
llamAmpere is an open-source project written in C++: llama.cpp fork for significantly improved performance on Ampere (especially RTX 3090 / 3090 Ti): example: 95+ tok/s over a 100K-token generation at temperature 1 for qwen3.8, supporting full 262K ctx.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ampere, consumer-gpu, cuda. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in C++ for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/JakeATX/llamAmpere.git
cd llamAmpere⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
llamAmpere coordinates its core functionality through a modular C++ pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with llamAmpere.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install llamAmpere using your package manager: `git clone https://github.com/JakeATX/llamAmpere.git`
Initialize your project workspace or configuration file for llamAmpere.
Import llamAmpere into your codebase or invoke it directly from your terminal.
Execute your test suite or run `llamAmpere --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
JakeATX/llamAmpere is currently ranked #12,880 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #12,841 | Sma1lboy/rove | TypeScript | ★ 171 | Compare ↗ |
| #12,841 | antonbabenko/deliberation | JavaScript | ★ 171 | Compare ↗ |
| #12,841 | happy-loki/codexhub | Rust | ★ 171 | Compare ↗ |
| #12,841 | Qbix/webserver | PHP | ★ 171 | Compare ↗ |
| #12,841 | beatrixzy/PGR4-Recomp | C++ | ★ 171 | Compare ↗ |
| #12,880 | JakeATX/llamAmpere This Project | C++ | ★ 170 | |
| #12,880 | joshknowles/rspec-on-rails-matchers | Ruby | ★ 170 | Compare ↗ |
| #12,880 | gree/flare | C++ | ★ 170 | Compare ↗ |
| #12,880 | alexd/metapad | C | ★ 170 | Compare ↗ |
| #12,880 | haraldmartin/things-rb | Ruby | ★ 170 | Compare ↗ |
| #12,880 | apache/commons-logging | Java | ★ 170 | Compare ↗ |
Frequently Asked Questions
What does llamAmpere do? +
llama.cpp fork for significantly improved performance on Ampere (especially RTX 3090 / 3090 Ti): example: 95+ tok/s over a 100K-token generation at temperature 1 for qwen3.8, supporting full 262K ctx. Supports low memory (12gb) configs for 200k+ ctx
What language is llamAmpere written in? +
The primary language is C++. Topics include: ampere, consumer-gpu, cuda, ggml, gguf.
Is llamAmpere actively maintained? +
Yes, the last recorded push was on Oct 12, 2026 with 8 open issues being tracked.
How many stars does llamAmpere have? +
llamAmpere has 170 stars and 19 forks on GitHub.
How does llamAmpere rank among GitHub repositories? +
With 170 stars, JakeATX/llamAmpere is ranked #12,880 globally across all repositories tracked on GitHubRepo and #964 among C++ projects.
What license is llamAmpere distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
