What are the hardware requirements for Results?

Results requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Results and how large is it?

Results is developed by FelixYaw, a model with 81.9m 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 Results?

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

Results by FelixYaw — VRAM 0.3GB

Name: Results
Author: FelixYaw

Results is an open-source language model by FelixYaw. Features: 81.9m LLM, VRAM: 0.3GB, License: apache-2.0, LLM Explorer Score: 0.2.

Base model:distilbert/distilgp... Base model:finetune:distilbert... Endpoints compatible Generated from trainer Gpt2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/FelixYaw/results

Results Parameters and Internals

LLM Name	Results
Repository 🤗	https://huggingface.co/FelixYaw/results
Base Model(s)	distilgpt2 /distilgpt2
Model Size	81.9m
Required VRAM	0.3 GB
Updated	2026-08-08
Maintainer	FelixYaw
Model Type	gpt2
Model Files	0.3 GB 0.0 GB
Model Architecture	GPT2LMHeadModel
License	apache-2.0
Model Max Length	1024
Transformers Version	4.56.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50257
Activation Function	gelu_new

Rank the Results 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

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