What are the hardware requirements for Pythia 1.4B Deduped Sharegpt?

Pythia 1.4B Deduped Sharegpt 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 Deduped Sharegpt and how large is it?

Pythia 1.4B Deduped Sharegpt is developed by HWERI, 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 Deduped Sharegpt perform on standard benchmarks?

Pythia 1.4B Deduped Sharegpt has the following published scores: MMLU 24. Compare against reference models on this page or on the LLM Explorer leaderboards.

Pythia 1.4B Deduped Sharegpt by HWERI — VRAM 2.8GB, 2K context

Name: Pythia 1.4B Deduped Sharegpt
Author: HWERI

Pythia 1.4B Deduped Sharegpt is an open-source language model by HWERI. Features: 1.4b LLM, VRAM: 2.8GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.12, Arc: 34.3, HellaSwag: 54.5, MMLU: 24, GSM8K: 0.8.

Dataset:shibing624/sharegpt gp... En Endpoints compatible Gpt neox Ja Ko Pytorch Region:us Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/HWERI/pythia-1.4b-deduped-sharegpt

Pythia 1.4B Deduped Sharegpt Parameters and Internals

Model Type

text generation

Supported Languages

zh (available), en (available), ko (available), ja (available)

LLM Name	Pythia 1.4B Deduped Sharegpt
Repository 🤗	https://huggingface.co/HWERI/pythia-1.4b-deduped-sharegpt
Model Size	1.4b
Required VRAM	2.8 GB
Updated	2026-07-14
Maintainer	HWERI
Model Type	gpt_neox
Model Files	2.8 GB 2.8 GB
Supported Languages	zh en ko ja
Model Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.31.0
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50280
Torch Data Type	float16

Rank the Pythia 1.4B Deduped Sharegpt 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 Deduped Sharegpt

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 Sft Full	2K / 2.8 GB	29	1
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	64	0

Note: green Score (e.g. "73.2") means that the model is better than HWERI/pythia-1.4b-deduped-sharegpt.