Atomic-Germ/Llama-3.1-8B-OpenFlow-GGUF overview
🦙 LLaMA 3.1 8B – Optimized for OpenFlowLM Next on AMD Ryzen™ AI NPU XDNA2 Only Model Summary This is a derivative of Meta AI’s LLaMA 3.1 base model. The model…
Runs locally from ~4.68 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Meta-Llama-3.1-8B-Instruct-Q4_1.gguf | GGUF | Q4_1 | 4.68 GB | Download |
Model Details
| Model ID | Atomic-Germ/Llama-3.1-8B-OpenFlow-GGUF |
|---|---|
| Author | Atomic-Germ |
| Pipeline | text-generation |
| License | llama3 |
| Base model | meta-llama/Llama-3.1-8B-Instruct |
| Last modified | 2026-09-19T02:55:43.000Z |
Model README
---
license: llama3
language:
- en
tags:
- llama
- llama-3.1
- text-generation
- NPU2
- openflowlm
- oflm
- openflowlm-next
- gguf
pipeline_tag: text-generation
base_model:
- meta-llama/Llama-3.1-8B-Instruct
base_model_relation: quantized
---
🦙 LLaMA 3.1 (8B) – Optimized for OpenFlowLM-Next on AMD Ryzen™ AI NPU (XDNA2 Only)
Model Summary
This is a derivative of Meta AI’s LLaMA 3.1 base model. The model retains the core architecture and weights from Meta’s release and may include fine-tuning, quantization, or adaptation for specific applications.
> ⚠️ This model is subject to Meta’s LLaMA 3 license. You must accept Meta’s terms to use or download it.
📝 License & Usage Terms
Meta LLaMA 3 License
- Base model is governed by Meta AI's license:
👉 https://ai.meta.com/llama/license/
- You must agree to their license terms to access and use the weights, which include:
- No commercial use without permission
- Redistribution only allowed under specific conditions
- Attribution required
Redistribution Notice
- This repository does not include original Meta weights.
- You must obtain base weights directly from Meta:
👉 https://huggingface.co/meta-llama
Intended Use
- Use Cases: Research, experimentation, academic NLP, code generation (if applicable)
- Not Intended For: Use in production systems without further evaluation, sensitive applications, or commercial deployments without Meta’s explicit permission
Limitations & Risks
- May generate incorrect or harmful content
- Does not have knowledge past its training cutoff
- Biases in training data may persist
Citation
@misc{touvron2024llama3,
title={LLaMA 3: Open Foundation and Instruction Models},
author={Touvron, Hugo and others},
year={2024},
url={https://ai.meta.com/llama/}
}Run Atomic-Germ/Llama-3.1-8B-OpenFlow-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models