What are the hardware requirements for Pythia 70M Helpful Sft?

Pythia 70M Helpful Sft requires approximately 0.1 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 Pythia 70M Helpful Sft and how large is it?

Pythia 70M Helpful Sft is developed by lomahony, a model with 70m 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 70M Helpful Sft?

Pythia 70M Helpful Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pythia 70M Helpful Sft by lomahony — VRAM 0.1GB, 2K context

Name: Pythia 70M Helpful Sft
Author: lomahony

Pythia 70M Helpful Sft is an open-source language model by lomahony. Features: 70m LLM, VRAM: 0.1GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.1.

Arxiv:2101.00027 Dataset:anthropic/hh-rlhf En Endpoints compatible Gpt neox Pythia Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/lomahony/pythia-70m-helpful-sft

Pythia 70M Helpful Sft Parameters and Internals

Model Type

causal-lm

Training Details

Data Sources:

Anthropic/hh-rlhf

Methodology:

Supervised finetuning using TRLx

LLM Name	Pythia 70M Helpful Sft
Repository 🤗	https://huggingface.co/lomahony/pythia-70m-helpful-sft
Model Size	70m
Required VRAM	0.1 GB
Updated	2026-07-28
Maintainer	lomahony
Model Type	gpt_neox
Model Files	0.1 GB 0.1 GB
Supported Languages	en
Model Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.34.1
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<\|padding\|>
Vocabulary Size	50304
Torch Data Type	bfloat16

Rank the Pythia 70M Helpful Sft 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 70M Helpful Sft

Best Alternatives	Context / RAM	Downloads	Likes
Pythia 70M Deduped	2K / 0.2 GB	677080	29
Pythia 70M	2K / 0.2 GB	519616	85
Pythia 70m Sft Hh	2K / 0.1 GB	9	0
Pythia 70M Multi	2K / 0.3 GB	6	0
Pythia Chinese 70M UDN	2K / 0.2 GB	18	0
Pythia 70m Sft	2K / 0.3 GB	7	0
...ythia 70M Wikipedia Paragraphs	2K / 0.3 GB	4	3
...a 70M Deduped Cleansharegpt En	2K / 0.3 GB	52	0
...thia 70M Deduped Cleansharegpt	2K / 0.3 GB	138	1
Chessdevilai	2K / 0.3 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than lomahony/pythia-70m-helpful-sft.