What are the hardware requirements for Saga Is 356M Kl Sft?

Saga Is 356M Kl Sft requires approximately 0.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Saga Is 356M Kl Sft and how large is it?

Saga Is 356M Kl Sft is developed by Hodfa71, a model with 356m 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 Saga Is 356M Kl Sft?

Saga Is 356M Kl Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Saga Is 356M Kl Sft by Hodfa71 — VRAM 0.7GB

Name: Saga Is 356M Kl Sft
Author: Hodfa71

Saga Is 356M Kl Sft is an open-source language model by Hodfa71. Features: 356m LLM, VRAM: 0.7GB, LLM Explorer Score: 0.23.

Gpt2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Hodfa71/saga-is-356m-kl-sft

Saga Is 356M Kl Sft Parameters and Internals

LLM Name	Saga Is 356M Kl Sft
Repository 🤗	https://huggingface.co/Hodfa71/saga-is-356m-kl-sft
Model Size	356m
Required VRAM	0.7 GB
Updated	2026-08-03
Maintainer	Hodfa71
Model Type	gpt2
Model Files	0.7 GB
Model Architecture	GPT2LMHeadModel
Transformers Version	5.5.4
Tokenizer Class	GPTSw3Tokenizer
Padding Token	<pad>
Vocabulary Size	64000
Activation Function	gelu

Rank the Saga Is 356M Kl 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 Saga Is 356M Kl Sft

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GPT Sw3 356M Instruct	0K / 1.6 GB	180	1
GPT Sw3 356M	0K / 1.6 GB	3178	1