What are the hardware requirements for TLDR Pythia2.8B SFT?

TLDR Pythia2.8B SFT 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 TLDR Pythia2.8B SFT and how large is it?

TLDR Pythia2.8B SFT is developed by rmrafailov, 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 TLDR Pythia2.8B SFT?

TLDR Pythia2.8B SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TLDR Pythia2.8B SFT by rmrafailov — VRAM 11.1GB, 2K context

Name: TLDR Pythia2.8B SFT
Author: rmrafailov

TLDR Pythia2.8B SFT is an open-source language model by rmrafailov. Features: 2.8b LLM, VRAM: 11.1GB, Context: 2K, License: mit, LLM Explorer Score: 0.12.

Endpoints compatible Gpt neox Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/rmrafailov/TLDR-Pythia2.8B-SFT

TLDR Pythia2.8B SFT Parameters and Internals

LLM Name	TLDR Pythia2.8B SFT
Repository 🤗	https://huggingface.co/rmrafailov/TLDR-Pythia2.8B-SFT
Model Size	2.8b
Required VRAM	11.1 GB
Updated	2026-06-08
Maintainer	rmrafailov
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
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.37.1
Vocabulary Size	50304
Torch Data Type	float32

Rank the TLDR Pythia2.8B SFT capabilities

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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 TLDR Pythia2.8B SFT

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
Hh Full	2K / 11.1 GB	6	0
... 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
...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 rmrafailov/TLDR-Pythia2.8B-SFT.