What are the hardware requirements for Pythia 160M Dolphin Extended?

Pythia 160M Dolphin Extended requires approximately 0.3 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 160M Dolphin Extended and how large is it?

Pythia 160M Dolphin Extended is developed by jtatman, a model with 160m 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 Pythia 160M Dolphin Extended?

Pythia 160M Dolphin Extended is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pythia 160M Dolphin Extended by jtatman — VRAM 0.3GB, 2K context

Name: Pythia 160M Dolphin Extended
Author: jtatman

Pythia 160M Dolphin Extended is an open-source language model by jtatman. Features: 160m LLM, VRAM: 0.3GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.13.

Axolotl Base model:eleutherai/pythia-1... Base model:finetune:eleutherai... Conversational Dataset:cognitivecomputations/... Dataset:llamafactory/alpaca gp... En Endpoints compatible Generated from trainer Gpt neox Pytorch Region:us Relora

Model Card on HF 🤗: https://huggingface.co/jtatman/pythia-160m-dolphin-extended

Pythia 160M Dolphin Extended Parameters and Internals

Model Type

text generation

Additional Notes

More information needed on the model description, intended uses, limitations, training and evaluation data.

Supported Languages

en (supported)

Training Details

Data Sources:

cognitivecomputations/dolphin, llamafactory/alpaca_gpt4_en, vicgalle/alpaca-gpt4

Context Length:

2048

LLM Name	Pythia 160M Dolphin Extended
Repository 🤗	https://huggingface.co/jtatman/pythia-160m-dolphin-extended
Base Model(s)	Pythia 160M Deduped EleutherAI/pythia-160m-deduped
Model Size	160m
Required VRAM	0.3 GB
Updated	2026-07-13
Maintainer	jtatman
Model Type	gpt_neox
Model Files	0.3 GB 0.0 GB
Supported Languages	en
Model Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.41.2
Tokenizer Class	GPTNeoXTokenizer
Padding Token	[PAD]
Vocabulary Size	50304
Torch Data Type	bfloat16

Rank the Pythia 160M Dolphin Extended 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

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Note: green Score (e.g. "73.2") means that the model is better than jtatman/pythia-160m-dolphin-extended.