What are the hardware requirements for Pretrained1b?

Pretrained1b requires approximately 4.9 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Pretrained1b and how large is it?

Pretrained1b is developed by Elcaida, a model with 1b 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 Pretrained1b?

Pretrained1b is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pretrained1b by Elcaida — VRAM 4.9GB, 128K context

Name: Pretrained1b
Author: Elcaida

Pretrained1b is an open-source language model by Elcaida. Features: 1b LLM, VRAM: 4.9GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.17.

Arxiv:1910.09700 Conversational Endpoints compatible Instruct Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Elcaida/pretrained1b

Pretrained1b Parameters and Internals

LLM Name	Pretrained1b
Repository 🤗	https://huggingface.co/Elcaida/pretrained1b
Model Size	1b
Required VRAM	4.9 GB
Updated	2026-08-07
Maintainer	Elcaida
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float32

Rank the Pretrained1b 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 Pretrained1b

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
LlaMa3.2 1B Instruct	128K / 4.9 GB	14	0
Llama 3.2 1B Instruct Bf16	128K / 2.5 GB	510	5
Llama 3.2 1B Instruct	128K / 2.5 GB	20	0
Llama3.2 1B Manumit V1	128K / 2.5 GB	132	0
...Claude Opus Fable5 V2 Thinking	128K / 2.2 GB	288	4
Llama 3.2 Mavrick.Spark 1B	128K / 2.5 GB	260	2
Type O1 Mini Instruct	128K / 2.5 GB	232	0

Note: green Score (e.g. "73.2") means that the model is better than Elcaida/pretrained1b.