What are the hardware requirements for Statichh Pythia 2.8B Sft Bf16?

Statichh Pythia 2.8B Sft Bf16 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 Statichh Pythia 2.8B Sft Bf16 and how large is it?

Statichh Pythia 2.8B Sft Bf16 is developed by ncgc, 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 Statichh Pythia 2.8B Sft Bf16?

Statichh Pythia 2.8B Sft Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Statichh Pythia 2.8B Sft Bf16 by ncgc — VRAM 11.1GB, 2K context

Name: Statichh Pythia 2.8B Sft Bf16
Author: ncgc

Statichh Pythia 2.8B Sft Bf16 is an open-source language model by ncgc. Features: 2.8b LLM, VRAM: 11.1GB, Context: 2K, LLM Explorer Score: 0.19.

Base model:eleutherai/pythia-2... Base model:finetune:eleutherai... Endpoints compatible Generated from trainer Gpt neox Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/ncgc/statichh-pythia-2.8b-sft-bf16

Statichh Pythia 2.8B Sft Bf16 Parameters and Internals

LLM Name	Statichh Pythia 2.8B Sft Bf16
Repository 🤗	https://huggingface.co/ncgc/statichh-pythia-2.8b-sft-bf16
Model Name	statichh-pythia-2.8b-sft-bf16
Base Model(s)	EleutherAI/pythia-2.8b EleutherAI/pythia-2.8b
Model Size	2.8b
Required VRAM	11.1 GB
Updated	2026-08-05
Maintainer	ncgc
Model Type	gpt_neox
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 1.1 GB: 3-of-3 0.0 GB
Model Architecture	GPTNeoXForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.53.3
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50304
Torch Data Type	float32

Rank the Statichh Pythia 2.8B Sft Bf16 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 Statichh Pythia 2.8B Sft Bf16

Best Alternatives	Context / RAM	Downloads	Likes
Pythia 2.8B Thai Base V1	2K / 5.9 GB	146	2
Hh Full	2K / 11.1 GB	6	0
... Llm Pythia 2.8B Pm Gen Ian Nd	2K / 11.1 GB	5	0
...thia 2.8B Mitchell Sft Hh Rlhf	2K / 11.1 GB	14	0
Pythia 2.8B Deduped	2K / 5.7 GB	8867	14
Pythia 2.8B Sft Hh Rlhf	2K / 5.6 GB	7	0
TLDR Pythia2.8B SFT	2K / 11.1 GB	7	0
Pythia 2.8B	2K / 5.7 GB	45869	35
...ythia 2.8B Helpful Sft 3epochs	2K / 5.6 GB	5	0
Indication PYT V2	2K / 5.7 GB	5	0