What are the hardware requirements for Loxa 4B?

Loxa 4B requires approximately 16 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 Loxa 4B and how large is it?

Loxa 4B is developed by frameai, a model with 4b 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 Loxa 4B?

Loxa 4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Loxa 4B by frameai — VRAM 16GB, 128K context

Name: Loxa 4B
Author: frameai

Loxa 4B is an open-source language model by frameai. Features: 4b LLM, VRAM: 16GB, Context: 128K, LLM Explorer Score: 0.21.

Aiframe Conversational Cpu Endpoints compatible Gpu Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/frameai/Loxa-4B

Loxa 4B Parameters and Internals

LLM Name	Loxa 4B
Repository 🤗	https://huggingface.co/frameai/Loxa-4B
Model Size	4b
Required VRAM	16 GB
Updated	2026-07-31
Maintainer	frameai
Model Type	llama
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 1.1 GB: 4-of-4
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	float32

Rank the Loxa 4B 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 Loxa 4B

Best Alternatives	Context / RAM	Downloads	Likes
4Bcpt	256K / 8.8 GB	5	0
HoldMy4BKTO	256K / 8.8 GB	5	0
Xgen Small 4B Instruct R	256K / 17.7 GB	54	4
Xgen Small 4B Base R	256K / 17.7 GB	30	3
SJT 4B	146K / 7.6 GB	7	0
...lama 3.1 Nemotron Nano 4B V1.1	128K / 9 GB	3940	116
Nemotron W 4b MagLight 0.1	128K / 9.2 GB	9	3
Nemotron W 4b Halo 0.1	128K / 9.2 GB	22	3
Aura 4B	128K / 9 GB	44	14
Impish LLAMA 4B	128K / 9 GB	50	66

Note: green Score (e.g. "73.2") means that the model is better than frameai/Loxa-4B.