What are the hardware requirements for Hh Full?

Hh Full requires approximately 11.1 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 Hh Full and how large is it?

Hh Full is developed by sert121, a model with 2.8b 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 Hh Full?

Hh Full is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hh Full by sert121 — VRAM 11.1GB, 2K context

Name: Hh Full
Author: sert121

Hh Full is an open-source language model by sert121. Features: 2.8b LLM, VRAM: 11.1GB, Context: 2K, LLM Explorer Score: 0.13.

Arxiv:1910.09700 Endpoints compatible Gpt neox Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sert121/hh_full

Hh Full Parameters and Internals

LLM Name	Hh Full
Repository 🤗	https://huggingface.co/sert121/hh_full
Model Size	2.8b
Required VRAM	11.1 GB
Updated	2026-07-30
Maintainer	sert121
Model Type	gpt_neox
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 1.1 GB: 3-of-3
Model Architecture	GPTNeoXForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.38.2
Vocabulary Size	50304
Torch Data Type	float32

Rank the Hh Full 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 Hh Full

Best Alternatives	Context / RAM	Downloads	Likes
Statichh Pythia 2.8B Sft Bf16	2K / 11.1 GB	8	0
Pythia 2.8B Thai Base V1	2K / 5.9 GB	146	2
... Llm Pythia 2.8B Pm Gen Ian Nd	2K / 11.1 GB	5	0
Pythia 2.8B Deduped	2K / 5.7 GB	8867	14
...thia 2.8B Mitchell Sft Hh Rlhf	2K / 11.1 GB	14	0
Pythia 2.8B Sft Hh Rlhf	2K / 5.6 GB	7	0
Pythia 2.8B	2K / 5.7 GB	45869	35
TLDR Pythia2.8B SFT	2K / 11.1 GB	7	0
...ythia 2.8B Helpful Sft 3epochs	2K / 5.6 GB	5	0
Indication PYT V2	2K / 5.7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than sert121/hh_full.