# LLaMA-8B Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/llama-8b
> Markdown URL: https://aitinkerers.org/technologies/llama-8b.md
> Technology record last updated: 2026-03-10T17:19:27Z
> Generated: 2026-09-23T00:42:21Z

Meta's 8-billion-parameter LLM (Llama 3.1): a resource-efficient, state-of-the-art model optimized for fast, multilingual dialogue and 128K context processing.

Llama 3.1 8B is Meta's smallest, most deployable model in the Llama 3.1 series (8 billion parameters). It utilizes an optimized transformer architecture with Grouped-Query Attention (GQA) for high inference efficiency, making it ideal for budget-constrained or edge applications. The model is instruction-tuned for multilingual dialogue, excels in reasoning and code generation, and features a substantial 128K token context window. Pretrained on approximately 15 trillion tokens, it delivers competitive performance against larger models in its class while maintaining superior resource efficiency.

- Official technology site: https://llama.meta.com/llama-downloads
- Public AI Tinkerers demos and talks: 3
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Neural Probing LLMs for 'Immediate Inference'](https://montreal.aitinkerers.org/talks/rsvp_qy_wNEb75lc)

'Training' is an ongoing challenge but 'Inference' will be the dominant performance challenge of AI going forward, signalled by Groq acquisition by Nvidia. Autogeneration is slow and expensive, and it's now the dominant 'bottleneck'. 'Probing' or adding novel architectures onto LLMs (Heads) can accelerated inference by measuring the 'state' of an LLM side-stepping the requirement to generate tokens. I don't have a super fancy presentation or clean GitHub yet, it's just lab notes and demo. It actually works, this is serious, not just a toy.

- Event context: AI Tinkerers Montreal - January 2026 Meetup at Ateko — 2026-01-21 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_qy_wNEb75lc

### [SlateFront AI: A new way to learn with AI, visually.](https://abu-dhabi.aitinkerers.org/talks/rsvp_GkYfScCkcU0)

SlateFront is an AI-powered tool that generates mathematical animations and full explainer videos for math and physics concepts instantly, from just text or drawings.

- Event context: AI Tinkerers - Abu Dhabi Meetup #4 (May 2025) — 2025-05-22 — Abu Dhabi
- Public talk page: https://abu-dhabi.aitinkerers.org/talks/rsvp_GkYfScCkcU0

### [The Future of Scheduling Time - Building Clockwise's AI Scheduler](https://sf.aitinkerers.org/talks/rsvp_IlEEGo8JPxI)

The Clockwise AI Scheduler has recently moved into beta. We have moved from using openAI to training our own Llama 8B model. When combining that model with our internal scheduling engine, we have built a calendar that has entirely new capabilities to schedule last minute meetings without blowing up everyone's schedules, to do bulk scheduling (eg. clear out my day due to a sick kid at home) or just do your every day traditional click on the calendar scheduling as well.

- Event context: AI Tinkerers - San Francisco - Summer Edition - July 2024 — 2024-07-12 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_IlEEGo8JPxI

## Related Technologies

- [Calendar](https://aitinkerers.org/technologies/calendar) ([Markdown](https://aitinkerers.org/technologies/calendar.md)) — 1 public demo
- [Claude-3](https://aitinkerers.org/technologies/claude-3) ([Markdown](https://aitinkerers.org/technologies/claude-3.md)) — 110 public demos
- [Clockwise AI Scheduler](https://aitinkerers.org/technologies/clockwise-ai-scheduler) ([Markdown](https://aitinkerers.org/technologies/clockwise-ai-scheduler.md)) — 1 public demo
- [Django](https://aitinkerers.org/technologies/django) ([Markdown](https://aitinkerers.org/technologies/django.md)) — 16 public demos
- [Google Colab](https://aitinkerers.org/technologies/google-colab) ([Markdown](https://aitinkerers.org/technologies/google-colab.md)) — 12 public demos
- [Groq](https://aitinkerers.org/technologies/groq) ([Markdown](https://aitinkerers.org/technologies/groq.md)) — 23 public demos
- [Hugging Face](https://aitinkerers.org/technologies/hugging-face) ([Markdown](https://aitinkerers.org/technologies/hugging-face.md)) — 41 public demos
- [NVIDIA](https://aitinkerers.org/technologies/nvidia) ([Markdown](https://aitinkerers.org/technologies/nvidia.md)) — 7 public demos
- [OpenAI API](https://aitinkerers.org/technologies/openai-api) ([Markdown](https://aitinkerers.org/technologies/openai-api.md)) — 520 public demos
- [Python](https://aitinkerers.org/technologies/python) ([Markdown](https://aitinkerers.org/technologies/python.md)) — 664 public demos
- [vLLM](https://aitinkerers.org/technologies/vllm) ([Markdown](https://aitinkerers.org/technologies/vllm.md)) — 33 public demos
