What are the hardware requirements for Llama 1.3B 32K?

Llama 1.3B 32K requires approximately 2.6 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 1.3B 32K and how large is it?

Llama 1.3B 32K is developed by LeoLearntoCode, 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.

Where can I download or evaluate Llama 1.3B 32K?

Llama 1.3B 32K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 1.3B 32K by LeoLearntoCode — VRAM 2.6GB, 32K context

Name: Llama 1.3B 32K
Author: LeoLearntoCode

Llama 1.3B 32K is an open-source language model by LeoLearntoCode. Features: 1.3b LLM, VRAM: 2.6GB, Context: 32K, LLM Explorer Score: 0.13.

Arxiv:1910.09700 Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/LeoLearntoCode/llama-1.3b-32k

Llama 1.3B 32K Parameters and Internals

LLM Name	Llama 1.3B 32K
Repository 🤗	https://huggingface.co/LeoLearntoCode/llama-1.3b-32k
Model Size	1.3b
Required VRAM	2.6 GB
Updated	2026-07-29
Maintainer	LeoLearntoCode
Model Type	llama
Model Files	2.6 GB
Model Architecture	LlamaForCausalLM
Context Length	33000
Model Max Length	33000
Transformers Version	4.40.0.dev0
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llama 1.3B 32K 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 Llama 1.3B 32K

Best Alternatives	Context / RAM	Downloads	Likes
Hope Second	128K / 1 GB	10	0
Hope Third	128K / 1 GB	9	0
Hope Forth	128K / 1 GB	7	0
Second Edition	128K / 1 GB	8	0
Fifth Edition	128K / 1 GB	7	0
Fourth Edition	128K / 1 GB	6	0
Third Edition	128K / 1 GB	5	0
Llama 1.3B 16K	16K / 2.6 GB	5	0
Deepseek Coder 1.3B Instruct	16K / 2.7 GB	92255	176
Sam Reason S1.5	16K / 2.7 GB	11	1

Note: green Score (e.g. "73.2") means that the model is better than LeoLearntoCode/llama-1.3b-32k.