What are the hardware requirements for Llama3.1 8B CodeThink 16bit?

Llama3.1 8B CodeThink 16bit requires approximately 16.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama3.1 8B CodeThink 16bit and how large is it?

Llama3.1 8B CodeThink 16bit is developed by theprint, 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 Llama3.1 8B CodeThink 16bit?

Llama3.1 8B CodeThink 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3.1 8B CodeThink 16bit by theprint — VRAM 16.1GB, 128K context

Name: Llama3.1 8B CodeThink 16bit
Author: theprint

Llama3.1 8B CodeThink 16bit is an open-source language model by theprint. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Quantized, LLM Explorer Score: 0.17.

Arxiv:1910.09700 16bit Conversational Endpoints compatible Llama Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/theprint/Llama3.1-8B-CodeThink-16bit

Llama3.1 8B CodeThink 16bit Parameters and Internals

LLM Name	Llama3.1 8B CodeThink 16bit
Repository 🤗	https://huggingface.co/theprint/Llama3.1-8B-CodeThink-16bit
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-27
Maintainer	theprint
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Quantization Type	16bit
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama3.1 8B CodeThink 16bit capabilities

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

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