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

Llama 3 8B Instruct Gradient 1048K IMat GGUF requires approximately 2 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 IMat GGUF and how large is it?

Llama 3 8B Instruct Gradient 1048K IMat GGUF is developed by qwp4w3hyb, a model with 8b 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 Llama 3 8B Instruct Gradient 1048K IMat GGUF?

Llama 3 8B Instruct Gradient 1048K IMat GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 8B Instruct Gradient 1048K IMat GGUF by qwp4w3hyb — VRAM 2GB, 1024K context

Name: Llama 3 8B Instruct Gradient 1048K IMat GGUF
Author: qwp4w3hyb

Llama 3 8B Instruct Gradient 1048K IMat GGUF is an open-source language model by qwp4w3hyb. Features: 8b LLM, VRAM: 2GB, Context: 1024K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

Arxiv:2305.14233 Arxiv:2309.00071 Arxiv:2402.08268 Base model:gradientai/llama-3-... Base model:quantized:gradienta... Conversational En Endpoints compatible Gguf Imatrix Importance matrix Instruct Llama Llama-3 Meta Q4 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/qwp4w3hyb/Llama-3-8B-Instruct-Gradient-1048k-iMat-GGUF

Llama 3 8B Instruct Gradient 1048K IMat GGUF Parameters and Internals

LLM Name	Llama 3 8B Instruct Gradient 1048K IMat GGUF
Repository 🤗	https://huggingface.co/qwp4w3hyb/Llama-3-8B-Instruct-Gradient-1048k-iMat-GGUF
Base Model(s)	...a 3 8B Instruct Gradient 1048K gradientai/Llama-3-8B-Instruct-Gradient-1048k
Model Size	8b
Required VRAM	2 GB
Updated	2026-08-01
Maintainer	qwp4w3hyb
Model Type	llama
Instruction-Based	Yes
Model Files	16.1 GB 2.0 GB 3.0 GB 2.8 GB 2.6 GB 2.4 GB 3.8 GB 3.7 GB 3.5 GB 3.3 GB 4.7 GB 4.5 GB 4.7 GB 4.9 GB 4.7 GB 5.7 GB 5.6 GB 6.6 GB 8.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	other
Context Length	1048576
Model Max Length	1048576
Transformers Version	4.39.1
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 8B Instruct Gradient 1048K IMat GGUF capabilities

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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 IMat GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct Gradient 1048K GGUF	1024K / 3.2 GB	445	3
Llama 3 8B Instruct 262K GGUF	256K / 3.2 GB	208	2
Grok Oss Apollyon 8B	128K / 16.1 GB	3449	8
...3 8B Instruct 128K Jbliterated	128K / 4.9 GB	992	2
Grok Oss Revenant 8B	128K / 16.1 GB	324	0
Llama 3.1 8B Instruct GGUF	128K / 2.2 GB	17956	41
... 8B Instruct Reasoner 1o1 V0.3	128K / 16.1 GB	322	8
...tion Sec 8B Instruct Q8 0 GGUF	128K / 8.5 GB	905	6
Llama 3.1 TAIDE R1 8B Chat	128K / 17.1 GB	1383	23
Nsfw Plz Gguf Me	128K / 16.1 GB	3	3

Note: green Score (e.g. "73.2") means that the model is better than qwp4w3hyb/Llama-3-8B-Instruct-Gradient-1048k-iMat-GGUF.