What are the hardware requirements for LiteLlamix 8x460M 1T?

LiteLlamix 8x460M 1T requires approximately 5.2 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 LiteLlamix 8x460M 1T and how large is it?

LiteLlamix 8x460M 1T is developed by aloobun, a model with 2.6b 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 LiteLlamix 8x460M 1T?

LiteLlamix 8x460M 1T is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LiteLlamix 8x460M 1T by aloobun — VRAM 5.2GB, 1K context

Name: LiteLlamix 8x460M 1T
Author: aloobun

LiteLlamix 8x460M 1T is an open-source language model by aloobun. Features: 2.6b LLM, VRAM: 5.2GB, Context: 1K, License: apache-2.0, MoE, LLM Explorer Score: 0.1.

Ahxt/litellama-460m-1t Endpoints compatible Lazymergekit Llama2 Merge Mergekit Mixtral Moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/aloobun/LiteLlamix-8x460M-1T

LiteLlamix 8x460M 1T Parameters and Internals

LLM Name	LiteLlamix 8x460M 1T
Repository 🤗	https://huggingface.co/aloobun/LiteLlamix-8x460M-1T
Model Size	2.6b
Required VRAM	5.2 GB
Updated	2026-06-29
Maintainer	aloobun
Model Type	mixtral
Model Files	5.2 GB: 1-of-1
Model Architecture	MixtralForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	4.36.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50304
Torch Data Type	bfloat16
Errors	replace

Rank the LiteLlamix 8x460M 1T 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 LiteLlamix 8x460M 1T

Best Alternatives	Context / RAM	Downloads	Likes
TinyExperts V0 4x1B	32K / 5.2 GB	1298	0
...oE 2.6B A0.6B Instruct Preview	4K / 5.2 GB	1764	11
Aquif 3.5 A0.6B Preview	4K / 5.2 GB	17	0
EuroMoE 2.6B A0.6B 2512	4K / 5.2 GB	139	11
TinyEnsemble 3x1.1B TinyMoE	4K / 5.3 GB	6	0
...x MoE Samantha Chatml Therabot	4K / 5.2 GB	11	1
...Oasst2 ChatML Cluster 3 2 1 V1	4K / 5.2 GB	6	3

Note: green Score (e.g. "73.2") means that the model is better than aloobun/LiteLlamix-8x460M-1T.