What are the hardware requirements for Llama 3 8B Instruct Gradient 1048K AWQ?

Llama 3 8B Instruct Gradient 1048K AWQ requires approximately 5.8 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 8B Instruct Gradient 1048K AWQ and how large is it?

Llama 3 8B Instruct Gradient 1048K AWQ is developed by solidrust, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 3 8B Instruct Gradient 1048K AWQ perform on standard benchmarks?

Llama 3 8B Instruct Gradient 1048K AWQ has the following published scores: MMLU 61.92. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3 8B Instruct Gradient 1048K AWQ by solidrust — VRAM 5.8GB, 1024K context

Name: Llama 3 8B Instruct Gradient 1048K AWQ
Author: solidrust

Llama 3 8B Instruct Gradient 1048K AWQ is an open-source language model by solidrust. Features: 8b LLM, VRAM: 5.8GB, Context: 1024K, Quantized, Instruction-Based, LLM Explorer Score: 0.14, Arc: 54.4, HellaSwag: 76.8, MMLU: 61.9, GSM8K: 44.4.

4-bit Autotrain compatible Awq Base model:gradientai/llama-3-... Base model:quantized:gradienta... Conversational Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/solidrust/Llama-3-8B-Instruct-Gradient-1048k-AWQ

Llama 3 8B Instruct Gradient 1048K AWQ Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

business operations, autonomous assistants

Applications:

custom AI models, business-critical operations

Primary Use Cases:

text generation, business assistance

Limitations:

only supported on Linux and Windows, with NVidia GPUs

Considerations:

Not suitable for macOS; recommended to use GGUF models instead

Additional Notes

Generated with less than 0.01% of original pre-training data, using Suparious quantization

Training Details

Data Sources:

>original Llama-3 8B, custom data from gradientai

Data Volume:

1.4B tokens total for all stages

Methodology:

Trained to extend context length appropriately adjusting RoPE theta

Context Length:

1048000

Model Architecture:

LLama-3 with extended context length

Input Output

Input Format:

Specify prompt within an appropriate template

Accepted Modalities:

text

Output Format:

Generated text

Performance Tips:

Use the AWQ quantized model for better efficiency on supported GPUs

LLM Name	Llama 3 8B Instruct Gradient 1048K AWQ
Repository 🤗	https://huggingface.co/solidrust/Llama-3-8B-Instruct-Gradient-1048k-AWQ
Base Model(s)	...a 3 8B Instruct Gradient 1048K gradientai/Llama-3-8B-Instruct-Gradient-1048k
Model Size	8b
Required VRAM	5.8 GB
Updated	2026-08-04
Maintainer	solidrust
Model Type	llama
Instruction-Based	Yes
Model Files	4.7 GB: 1-of-2 1.1 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
Context Length	1048576
Model Max Length	1048576
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3 8B Instruct Gradient 1048K 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 Llama 3 8B Instruct Gradient 1048K AWQ

Best Alternatives	Context / RAM	Downloads	Likes
...radient 1048K AWQ 4bit Smashed	1024K / 5.8 GB	7	1
...Instruct 262K AWQ 4bit Smashed	256K / 5.8 GB	5	4
...ta Llama 3 8B Instruct 64K AWQ	64K / 5.8 GB	6	0
... Instruct 8B 32K V0.1 4bit AWQ	64K / 5.8 GB	9	0
Llama 3 8B Instruct AWQ	8K / 5.8 GB	25458	31
Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	6	0
Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	563	0
Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	7	0
Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	401	5
...eta Llama 3 8B Instruct Hf AWQ	8K / 5.8 GB	179	9

Note: green Score (e.g. "73.2") means that the model is better than solidrust/Llama-3-8B-Instruct-Gradient-1048k-AWQ.