What are the hardware requirements for Hypa Llama3.2 8B SFT 2025 12 20 II 16bit?

Hypa Llama3.2 8B SFT 2025 12 20 II 16bit requires approximately 16.1 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Hypa Llama3.2 8B SFT 2025 12 20 II 16bit and how large is it?

Hypa Llama3.2 8B SFT 2025 12 20 II 16bit is developed by hypaai, 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 Hypa Llama3.2 8B SFT 2025 12 20 II 16bit?

Hypa Llama3.2 8B SFT 2025 12 20 II 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hypa Llama3.2 8B SFT 2025 12 20 II 16bit by hypaai — VRAM 16.1GB, 2K context

Name: Hypa Llama3.2 8B SFT 2025 12 20 II 16bit
Author: hypaai

Hypa Llama3.2 8B SFT 2025 12 20 II 16bit is an open-source language model by hypaai. Features: 8b LLM, VRAM: 16.1GB, Context: 2K, License: apache-2.0, Quantized, LLM Explorer Score: 0.21.

16bit Conversational En Endpoints compatible Llama Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/hypaai/Hypa_Llama3.2-8b-SFT-2025-12-20_II-16bit

Hypa Llama3.2 8B SFT 2025 12 20 II 16bit Parameters and Internals

LLM Name	Hypa Llama3.2 8B SFT 2025 12 20 II 16bit
Repository 🤗	https://huggingface.co/hypaai/Hypa_Llama3.2-8b-SFT-2025-12-20_II-16bit
Base Model(s)	hypaai/Hypa_Llama3.2-8b-SFT-2025-12-10-16bit hypaai/Hypa_Llama3.2-8b-SFT-2025-12-10-16bit
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-31
Maintainer	hypaai
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
Supported Languages	en
Quantization Type	16bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.57.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Hypa Llama3.2 8B SFT 2025 12 20 II 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
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Multi-Language Support and Translation

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