What are the hardware requirements for Emhotob 5M?

Emhotob 5M requires a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Emhotob 5M and how large is it?

Emhotob 5M is developed by oddadmix, a model with 5m 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 Emhotob 5M?

Emhotob 5M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Emhotob 5M by oddadmix — 2K context

Name: Emhotob 5M
Author: oddadmix

Emhotob 5M is an open-source language model by oddadmix. Features: 5m LLM, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.24.

Ar Arabic Dataset:kaust-generative-ai/fi... Emhotob Endpoints compatible From-scratch Llama Region:us Safetensors Small-language-model

Model Card on HF 🤗: https://huggingface.co/oddadmix/Emhotob-5M

Emhotob 5M Parameters and Internals

LLM Name	Emhotob 5M
Repository 🤗	https://huggingface.co/oddadmix/Emhotob-5M
Model Size	5m
Required VRAM	0 GB
Updated	2026-08-07
Maintainer	oddadmix
Model Type	llama
Model Files	0.0 GB 0.0 GB
Supported Languages	ar
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	5.12.1
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	32000

Rank the Emhotob 5M 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 Emhotob 5M

Best Alternatives	Context / RAM	Downloads	Likes
Ko Llama 3.1 5B Instruct	128K / 23.4 GB	5	0
Apriel 5B Instruct Llamafied	16K / 9.7 GB	9	4
Llama 3.1 5B Instruct	8K / 10.9 GB	21	1
Triangulum 5B	8K / 10.9 GB	20	2
Triangulum 5B It	8K / 10.9 GB	6	2
Llama 3 5B Sheard	8K / 11.7 GB	8	9
Mermaid Llama 3 5B Pruned	8K / 10.9 GB	6	1
Wisp 5M	2K / 0 GB	227	1
Ko Llama 230M 0317 5B	2K / 0.6 GB	5	0
Ant 5M	1K / 0 GB	117	2

Note: green Score (e.g. "73.2") means that the model is better than oddadmix/Emhotob-5M.