What are the hardware requirements for Llama 3 8B Instruct 262K GGUF?

Llama 3 8B Instruct 262K GGUF requires approximately 3.2 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 8B Instruct 262K GGUF and how large is it?

Llama 3 8B Instruct 262K GGUF is developed by second-state, 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 262K GGUF?

Llama 3 8B Instruct 262K 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 262K GGUF by second-state — VRAM 3.2GB, 256K context

Name: Llama 3 8B Instruct 262K GGUF
Author: second-state

Llama 3 8B Instruct 262K GGUF is an open-source language model by second-state. Features: 8b LLM, VRAM: 3.2GB, Context: 256K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

Base model:gradientai/llama-3-... Base model:quantized:gradienta... Conversational En Gguf Instruct Llama Llama-3 Meta Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/second-state/Llama-3-8B-Instruct-262k-GGUF

Llama 3 8B Instruct 262K GGUF Parameters and Internals

Model Type

text-generation

Additional Notes

Quantized with llama.cpp b2734

Supported Languages

en (unknown)

Input Output

Input Format:

<|begin_of_text|><|start_header_id|>system<|end_header_id|> {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|> {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|> {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|> {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Accepted Modalities:

text

LLM Name	Llama 3 8B Instruct 262K GGUF
Repository 🤗	https://huggingface.co/second-state/Llama-3-8B-Instruct-262k-GGUF
Model Creator	gradient.ai
Base Model(s)	Llama 3 8B Instruct 262K gradientai/Llama-3-8B-Instruct-262k
Model Size	8b
Required VRAM	3.2 GB
Updated	2026-08-06
Maintainer	second-state
Model Type	llama
Instruction-Based	Yes
Model Files	3.2 GB 4.3 GB 4.0 GB 3.7 GB 4.7 GB 4.9 GB 4.7 GB 5.6 GB 5.7 GB 5.6 GB 6.6 GB 8.5 GB 16.1 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	4.39.1
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 8B Instruct 262K GGUF 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 262K GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...truct Gradient 1048K IMat GGUF	1024K / 2 GB	650	6
...B Instruct Gradient 1048K GGUF	1024K / 3.2 GB	445	3
Grok Oss Apollyon 8B	128K / 16.1 GB	3449	8
...3 8B Instruct 128K Jbliterated	128K / 4.9 GB	423	3
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 second-state/Llama-3-8B-Instruct-262k-GGUF.