What are the hardware requirements for Fhamator 30000?

Fhamator 30000 requires approximately 0.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Fhamator 30000 and how large is it?

Fhamator 30000 is developed by JasperV13, a model with 135m 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 Fhamator 30000?

Fhamator 30000 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Fhamator 30000 by JasperV13 — VRAM 0.5GB

Name: Fhamator 30000
Author: JasperV13

Fhamator 30000 is an open-source language model by JasperV13. Features: 135m LLM, VRAM: 0.5GB, LLM Explorer Score: 0.14.

Arxiv:1910.09700 Endpoints compatible Gpt2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/JasperV13/Fhamator-30000

Fhamator 30000 Parameters and Internals

LLM Name	Fhamator 30000
Repository 🤗	https://huggingface.co/JasperV13/Fhamator-30000
Model Size	135m
Required VRAM	0.5 GB
Updated	2026-08-08
Maintainer	JasperV13
Model Type	gpt2
Model Files	0.5 GB
Model Architecture	GPT2LMHeadModel
Transformers Version	4.42.4
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	64000
Torch Data Type	float32
Activation Function	gelu_new

Rank the Fhamator 30000 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 Fhamator 30000

Best Alternatives	Context / RAM	Downloads	Likes
ARABIC Poetry	0K / 0 GB	2	1

Note: green Score (e.g. "73.2") means that the model is better than JasperV13/Fhamator-30000.