What are the hardware requirements for Meta Llama 3 12B Instruct AWQ?

Meta Llama 3 12B Instruct AWQ requires approximately 7.5 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Meta Llama 3 12B Instruct AWQ and how large is it?

Meta Llama 3 12B Instruct AWQ is developed by solidrust, a model with 12b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Meta Llama 3 12B Instruct AWQ?

Meta Llama 3 12B Instruct AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3 12B Instruct AWQ by solidrust — VRAM 7.5GB, 8K context

Name: Meta Llama 3 12B Instruct AWQ
Author: solidrust

Meta Llama 3 12B Instruct AWQ is an open-source language model by solidrust. Features: 12b LLM, VRAM: 7.5GB, Context: 8K, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

4-bit Autotrain compatible Awq Base model:mlabonne/meta-llama... Base model:quantized:mlabonne/... Conversational Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/solidrust/Meta-Llama-3-12B-Instruct-AWQ

Meta Llama 3 12B Instruct AWQ Parameters and Internals

LLM Name	Meta Llama 3 12B Instruct AWQ
Repository 🤗	https://huggingface.co/solidrust/Meta-Llama-3-12B-Instruct-AWQ
Base Model(s)	Meta Llama 3 12B Instruct mlabonne/Meta-Llama-3-12B-Instruct
Model Size	12b
Required VRAM	7.5 GB
Updated	2026-08-05
Maintainer	solidrust
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.5 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Meta Llama 3 12B Instruct AWQ capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Meta Llama 3 12B Instruct AWQ

Best Alternatives	Context / RAM	Downloads	Likes
OpenCrystal 12B L3.1 128K	128K / 23 GB	4	3
OpenCrystal 12B L3	8K / 23 GB	17	17

Note: green Score (e.g. "73.2") means that the model is better than solidrust/Meta-Llama-3-12B-Instruct-AWQ.