What are the hardware requirements for Hypa Llama3.1 8B SFT?

Hypa Llama3.1 8B SFT 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 Llama3.1 8B SFT and how large is it?

Hypa Llama3.1 8B SFT 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 Llama3.1 8B SFT?

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

Hypa Llama3.1 8B SFT by hypaai — VRAM 16.1GB, 2K context

Name: Hypa Llama3.1 8B SFT
Author: hypaai

Hypa Llama3.1 8B SFT is an open-source language model by hypaai. Features: 8b LLM, VRAM: 16.1GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.26.

Ann Base model:adapter:meta-llama/... Base model:meta-llama/llama-3.... Conversational Dataset:hypaai/hypa-text-10k Dictionary Ebi Efi Ego En Endpoints compatible Es Fr Function-calling Ha Hypa-ai Ibb Idm Ig Igl Instruct Language-detection Llama Llama-3.1 Lora Low-resource Multilingual Nup Pcm Qlora Region:us Safetensors Sharded Tensorflow Tiv Tool-use Translation Underrepresented-languages Unsloth Urh Yo

Model Card on HF 🤗: https://huggingface.co/hypaai/Hypa-Llama3.1-8b-SFT

Hypa Llama3.1 8B SFT Parameters and Internals

LLM Name	Hypa Llama3.1 8B SFT
Repository 🤗	https://huggingface.co/hypaai/Hypa-Llama3.1-8b-SFT
Base Model(s)	meta-llama/Llama-3.1-8B-Instruct meta-llama/Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-29
Maintainer	hypaai
Model Type	llama
Instruction-Based	Yes
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 es fr ha ig yo
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Hypa Llama3.1 8B SFT 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 Hypa Llama3.1 8B SFT

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1