What are the hardware requirements for Cerebras 1.3B Quantized?

Cerebras 1.3B Quantized requires approximately 1.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cerebras 1.3B Quantized and how large is it?

Cerebras 1.3B Quantized is developed by FabbriSimo01, a model with 1.3b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Cerebras 1.3B Quantized perform on standard benchmarks?

Cerebras 1.3B Quantized has the following published scores: MMLU 26.79. Compare against reference models on this page or on the LLM Explorer leaderboards.

Cerebras 1.3B Quantized by FabbriSimo01 — VRAM 1.4GB

Name: Cerebras 1.3B Quantized
Author: FabbriSimo01

Cerebras 1.3B Quantized is an open-source language model by FabbriSimo01. Features: 1.3b LLM, VRAM: 1.4GB, License: mit, LLM Explorer Score: 0.13, Arc: 25.9, HellaSwag: 38.6, MMLU: 26.8, GSM8K: 0.4.

8-bit Endpoints compatible Gpt2 Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/FabbriSimo01/Cerebras_1.3b_Quantized

Cerebras 1.3b Quantized Benchmarks

ARC: 25.94 vs 96.7 (so35)^-73.2%

HellaSwag: 38.56 vs 95.3 (gpt4)^-59.5%

MMLU: 26.79 vs 88.3 (so35)^-69.7%

GSM8K: 0.38 vs 96.4 (so35)^-99.6%

LLME Score: 0.13286

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Cerebras 1.3B Quantized (FabbriSimo01/Cerebras_1.3b_Quantized)

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Cerebras 1.3B Quantized Parameters and Internals

LLM Name	Cerebras 1.3b Quantized
Repository 🤗	https://huggingface.co/FabbriSimo01/Cerebras_1.3b_Quantized
Model Size	1.3b
Required VRAM	1.4 GB
Updated	2026-06-07
Maintainer	FabbriSimo01
Model Type	gpt2
Model Files	1.4 GB
Model Architecture	GPT2LMHeadModel
License	mit
Transformers Version	4.31.0.dev0
Tokenizer Class	GPT2Tokenizer
Beginning of Sentence Token	<\|endoftext\|>
End of Sentence Token	<\|endoftext\|>
Unk Token	<\|endoftext\|>
Vocabulary Size	50257
Torch Data Type	float16
Activation Function	gelu
Errors	replace

Best Alternatives to Cerebras 1.3B Quantized

Best Alternatives	Context / RAM	Downloads	Likes
GPT Sw3 1.3B Instruct	0K / 5.5 GB	1068	3
Quokka 1.3B	0K / 2.7 GB	939	0
1.3B	0K / 2.7 GB	1094	2
GPT Sw3 1.3B	0K / 5.5 GB	1247	6
MGPT 1.3B Kazakh	0K / 5.8 GB	296	8
LaMini Cerebras 1.3B	0K / 5.4 GB	732	3

Rank the Cerebras 1.3B Quantized Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Cerebras 1.3B Quantized by FabbriSimo01

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Cerebras 1.3b Quantized Benchmarks

Cerebras 1.3B Quantized Parameters and Internals

Best Alternatives to Cerebras 1.3B Quantized

Rank the Cerebras 1.3B Quantized Capabilities

What open-source LLMs or SLMs are you in search of? 54677 in total.