synchopate/llama-modchip
Run 284B DeepSeek-V4-Flash (<59GiB RAM: 41.1 cold pp, 9.1 N=1 tg, up to 25.3 spec tok/s) & 30B MoEs (22.4 N=1 / 111.6 spec tok/s) on 64GB CPU (0 GPUs).
⚡ Executive Summary & Quick Facts
Authoritative Sourcellama-modchip is llama-modchip is an open-source project written in Python: Run 284B DeepSeek-V4-Flash (<59GiB RAM: 41.1 cold pp, 9.1 N=1 tg, up to 25.3 spec tok/s) & 30B MoEs (22.4 N=1 / 111.6 spec tok/s) on 64GB CPU (0 GPUs)..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), synchopate/llama-modchip has accumulated 1,119 GitHub stars and 97 forks. It is written in Python, licensed under Apache-2.0, and ranks #8,111 globally. It is actively maintained with the latest commit recorded on Nov 12, 2026.”
| Repository | synchopate/llama-modchip ↗ |
|---|---|
| Primary Category | ai agents |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.1K stars · ⑂ 97 forks · #8,111 globally |
| Maintenance | ● Active (Last commit: Nov 12, 2026) · 23 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 97/100 · Grade A+Yes, llama-modchip is actively maintained. Continuous telemetry recorded the last code commit on Nov 12, 2026 (0 days ago). Supported by 1,119 stars and 97 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+28
STARS · LAST 30 DAYS
1
PER DAY
#1,184
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +28 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
llama-modchip gained 28 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 1 year old and has averaged roughly 1.1K stars a year. It ranks #1,184 among Python repositories and #8,111 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#12844
BEST RANK
Nov 13, 2026
FIRST APPEARANCE
Active
STATUS TODAY
llama-modchip has maintained a continuous presence across global trending indexes, peaking at #12844. Below is the 30-day activity profile:
💡 Overview
llama-modchip is an open-source project written in Python: Run 284B DeepSeek-V4-Flash (<59GiB RAM: 41.1 cold pp, 9.1 N=1 tg, up to 25.3 spec tok/s) & 30B MoEs (22.4 N=1 / 111.6 spec tok/s) on 64GB CPU (0 GPUs).
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, apple-silicon, avx512. 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 Python 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
$ pip install llama-modchip⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
llama-modchip coordinates its core functionality through a modular Python 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 llama-modchip.
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 llama-modchip using your package manager: `pip install llama-modchip`
Initialize your project workspace or configuration file for llama-modchip.
Import llama-modchip into your codebase or invoke it directly from your terminal.
Execute your test suite or run `llama-modchip --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
synchopate/llama-modchip is currently ranked #8,111 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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| #8,111 | synchopate/llama-modchip This Project | Python | ★ 1.1K | |
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Frequently Asked Questions
What does llama-modchip do? +
Run 284B DeepSeek-V4-Flash (<59GiB RAM: 41.1 cold pp, 9.1 N=1 tg, up to 25.3 spec tok/s) & 30B MoEs (22.4 N=1 / 111.6 spec tok/s) on 64GB CPU (0 GPUs).
Is llama-modchip actively maintained in 2026? +
Yes, llama-modchip is actively maintained. The latest code push was recorded on Nov 12, 2026 (0 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,119 stars and 23 open issues.
What language is llama-modchip written in? +
The primary language is Python. Topics include: ai-agents, apple-silicon, avx512, claude-code, cpu-inference.
How many stars does llama-modchip have? +
llama-modchip has 1,119 stars and 97 forks on GitHub.
How does llama-modchip rank among GitHub repositories? +
With 1,119 stars, synchopate/llama-modchip is ranked #8,111 globally across all repositories tracked on GitHubRepo and #1,184 among Python projects.
What license is llama-modchip distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
