What are the hardware requirements for Pythia410m Sft Tldr?

Pythia410m Sft Tldr requires approximately 1.6 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 Pythia410m Sft Tldr and how large is it?

Pythia410m Sft Tldr is developed by mnoukhov, a model with 410m 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 Pythia410m Sft Tldr?

Pythia410m Sft Tldr is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pythia410m Sft Tldr by mnoukhov — VRAM 1.6GB, 2K context

Name: Pythia410m Sft Tldr
Author: mnoukhov

Pythia410m Sft Tldr is an open-source language model by mnoukhov. Features: 410m LLM, VRAM: 1.6GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.15.

Base model:eleutherai/pythia-4... Base model:finetune:eleutherai... Endpoints compatible Generated from trainer Gpt neox Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/mnoukhov/pythia410m-sft-tldr

Pythia410m Sft Tldr Parameters and Internals

Training Details

Methodology:

fine-tuned

LLM Name	Pythia410m Sft Tldr
Repository 🤗	https://huggingface.co/mnoukhov/pythia410m-sft-tldr
Base Model(s)	Pythia 410M Deduped EleutherAI/pythia-410m-deduped
Model Size	410m
Required VRAM	1.6 GB
Updated	2026-07-26
Maintainer	mnoukhov
Model Type	gpt_neox
Model Files	1.6 GB 0.0 GB
Model Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.40.2
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<\|padding\|>
Vocabulary Size	50304
Torch Data Type	float32

Rank the Pythia410m Sft Tldr 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 Pythia410m Sft Tldr

Best Alternatives	Context / RAM	Downloads	Likes
...thia 410M Cell Type Prediction	4K / 0 GB	366	10
Pythia 410M	2K / 0.9 GB	261700	39
Pythia 410M Sft Full	2K / 0.8 GB	4	1
Pythia 410M Deduped	2K / 0.9 GB	62597	22
Healix 410M	2K / 1.6 GB	88	0
Pythia 410M Deduped SimPOW 0	2K / 0.8 GB	5	0
Pythia 410M Orpo	2K / 1.6 GB	5	0
...7 Kl 01 Steps 12000 Rlhf Model	2K / 1.6 GB	8	0
Pythia 410M Ludii Sft	2K / 1.6 GB	7	0
... Llm Pythia 410M Pm Gen Ian Nd	2K / 1.6 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than mnoukhov/pythia410m-sft-tldr.