What are the hardware requirements for KodaLite 1.3B?

KodaLite 1.3B requires approximately 2.5 GB of VRAM and supports a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed KodaLite 1.3B and how large is it?

KodaLite 1.3B is developed by YoAbriel, 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 KodaLite 1.3B?

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

KodaLite 1.3B by YoAbriel — VRAM 2.5GB, 1K context

Name: KodaLite 1.3B
Author: YoAbriel

KodaLite 1.3B is an open-source language model by YoAbriel. Features: 1.3b LLM, VRAM: 2.5GB, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.23.

Conversational En Endpoints compatible From-scratch Jax Llama Model-index Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/YoAbriel/KodaLite-1.3B

KodaLite 1.3B Parameters and Internals

LLM Name	KodaLite 1.3B
Repository 🤗	https://huggingface.co/YoAbriel/KodaLite-1.3B
Model Size	1.3b
Required VRAM	2.5 GB
Updated	2026-08-04
Maintainer	YoAbriel
Model Type	llama
Model Files	2.5 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	4.46.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50257
Torch Data Type	bfloat16
Errors	replace

Rank the KodaLite 1.3B 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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