What are the hardware requirements for Pythia 1.4B Sft Full?

Pythia 1.4B Sft Full requires approximately 2.8 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 Pythia 1.4B Sft Full and how large is it?

Pythia 1.4B Sft Full is developed by nnheui, a model with 1.4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Pythia 1.4B Sft Full perform on standard benchmarks?

Pythia 1.4B Sft Full has the following published scores: MMLU 25.44. Compare against reference models on this page or on the LLM Explorer leaderboards.

Pythia 1.4B Sft Full by nnheui — VRAM 2.8GB, 2K context

Name: Pythia 1.4B Sft Full
Author: nnheui

Pythia 1.4B Sft Full is an open-source language model by nnheui. Features: 1.4b LLM, VRAM: 2.8GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.15, Arc: 32.7, HellaSwag: 52.1, MMLU: 25.4, GSM8K: 2.

Alignment-handbook Base model:eleutherai/pythia-1... Base model:finetune:eleutherai... Conversational Dataset:huggingfaceh4/ultracha... Endpoints compatible Generated from trainer Gpt neox Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/nnheui/pythia-1.4b-sft-full

Pythia 1.4B Sft Full Parameters and Internals

Training Details

Data Sources:

HuggingFaceH4/ultrachat_200k

Hardware Used:

multi-GPU, 4 devices

LLM Name	Pythia 1.4B Sft Full
Repository 🤗	https://huggingface.co/nnheui/pythia-1.4b-sft-full
Base Model(s)	EleutherAI/pythia-1.4b EleutherAI/pythia-1.4b
Model Size	1.4b
Required VRAM	2.8 GB
Updated	2026-05-09
Maintainer	nnheui
Model Type	gpt_neox
Model Files	2.8 GB
Model Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.36.2
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50304
Torch Data Type	bfloat16

Rank the Pythia 1.4B Sft 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 Pythia 1.4B Sft Full

Best Alternatives	Context / RAM	Downloads	Likes
Pythia 1.4B Deduped 8K Base	8K / 7.3 GB	4	1
Violet 1b4 Chat	4K / 2.8 GB	13	7
Pythia 1.4B Deduped 4K Base	4K / 6.1 GB	8	2
Statichh Pythia 1.4B Sft Bf16	2K / 5.7 GB	5	0
Pythia 1.4B	2K / 2.9 GB	95247	27
Pythia 1.4B Deduped	2K / 5.7 GB	14737	22
Pythia Delphi Suboptimal	2K / 5.7 GB	5	0
RCC Ins Reconstruction	2K / 6.1 GB	13	1
Pythia 1.4B Deduped Sharegpt	2K / 2.8 GB	129	2
Pythia 1.4B Deduped Sharegpt	2K / 2.8 GB	64	0

Note: green Score (e.g. "73.2") means that the model is better than nnheui/pythia-1.4b-sft-full.