Overview
Llama-3.1-8B-Instruct is an 8-billion-parameter instruction-tuned model from Meta (meta-llama).
- License: Llama3.1
- Context length: 128K tokens
- Languages: Multilingual
- Minimum hardware: ~18 GB VRAM
- Strengths: general chat, tool use and multilingual tasks
Highlights
- 8B-parameter model sized for local hardware.
- Runs on ~18 GB VRAM.
- Handles long inputs with a 128K-token context window.
- Strong at local coding help tasks.
- Also handles long-document work out of the box.
What it is good at
The model carries capability tags for tools, reasoning, code, and multilingual text, which maps to a few concrete jobs:
- Local coding help — writing functions, explaining a stack trace, and refactoring snippets without sending source code to a cloud service.
- Long-document work — the 128K context fits large files or long chat histories, so you can summarize or query a sizeable document in one pass.
- Tool calling and structured output — the model can emit function calls and JSON, which lets it drive small agent loops or extraction tasks that run entirely on your device.
Running it locally
At 8B parameters the model is reachable on consumer hardware. A 4-bit quantized build (Q4_K_M) is roughly 5 GB and runs on a GPU with about 6 GB of VRAM; full 16-bit weights want closer to 16 GB. No GPU is fine too — on CPU with 16 GB+ of system RAM you'll get a few tokens per second. The full 128K context needs extra memory for the KV cache, so keep headroom if you push the window.
huggingface-cli download meta-llama/Llama-3.1-8B-Instruct
From there you can load it with Hugging Face Transformers, serve it with vLLM, or skip the setup and run it through Atomic Chat with a one-click download.
License
Llama-3.1-8B-Instruct is released under the llama3.1 community license. It permits commercial and research use, including fine-tuning and deploying the model in products. The license adds Meta's acceptable-use terms and an attribution requirement, plus a clause for very large-scale deployments, so read it before shipping at scale.