What are the hardware requirements for Fast R1 Small Experiment?

Fast R1 Small Experiment requires approximately 0.3 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 Fast R1 Small Experiment and how large is it?

Fast R1 Small Experiment is developed by Pedro13543, a model with 0.15b 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 Fast R1 Small Experiment?

Fast R1 Small Experiment is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Fast R1 Small Experiment by Pedro13543 — VRAM 0.3GB, 2K context

Name: Fast R1 Small Experiment
Author: Pedro13543

Fast R1 Small Experiment is an open-source language model by Pedro13543. Features: 0.15b LLM, VRAM: 0.3GB, Context: 2K, License: mit, LLM Explorer Score: 0.16.

Base model:finetune:nisten/big... Base model:nisten/biggie-smoll... Endpoints compatible Generated from trainer Llama Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/Pedro13543/fast_r1_small_experiment

Fast R1 Small Experiment Parameters and Internals

LLM Name	Fast R1 Small Experiment
Repository 🤗	https://huggingface.co/Pedro13543/fast_r1_small_experiment
Base Model(s)	nisten/Biggie-SmoLlm-0.15B-Base nisten/Biggie-SmoLlm-0.15B-Base
Model Size	0.15b
Required VRAM	0.3 GB
Updated	2026-07-25
Maintainer	Pedro13543
Model Type	llama
Model Files	0.3 GB 0.0 GB
Model Architecture	LlamaForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.44.2
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	49152
Torch Data Type	bfloat16

Rank the Fast R1 Small Experiment 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 Fast R1 Small Experiment

Best Alternatives	Context / RAM	Downloads	Likes
Qwq Finetune Result	2K / 0.3 GB	10	0
Biggie SmoLlm 0.15B Base	2K / 0.2 GB	2855	241

Note: green Score (e.g. "73.2") means that the model is better than Pedro13543/fast_r1_small_experiment.