What are the hardware requirements for Tinycoder 15M?

Tinycoder 15M requires approximately 0.1 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 Tinycoder 15M and how large is it?

Tinycoder 15M is developed by Rashik24, a model with 15m 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 Tinycoder 15M?

Tinycoder 15M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tinycoder 15M by Rashik24 — VRAM 0.1GB, 1K context

Name: Tinycoder 15M
Author: Rashik24

Tinycoder 15M is an open-source language model by Rashik24. Features: 15m LLM, VRAM: 0.1GB, Context: 1K, LLM Explorer Score: 0.11.

Dataset:nampdn-ai/tiny-codes En Endpoints compatible Llama Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Rashik24/tinycoder-15M

Tinycoder 15M Parameters and Internals

Supported Languages

en (proficient)

LLM Name	Tinycoder 15M
Repository 🤗	https://huggingface.co/Rashik24/tinycoder-15M
Model Size	15m
Required VRAM	0.1 GB
Updated	2026-05-31
Maintainer	Rashik24
Model Type	llama
Model Files	0.1 GB 0.1 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
Context Length	1024
Model Max Length	1024
Transformers Version	4.36.2
Vocabulary Size	32000

Rank the Tinycoder 15M 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 Tinycoder 15M

Best Alternatives	Context / RAM	Downloads	Likes
Nsfw 4dot1 15B Hopefully Right	128K / 30.1 GB	7	0
Moonlight L3 15B V2.5 64K	64K / 30 GB	17	6
Moonlight L3 15B V2 64K	64K / 30 GB	9	8
Hamanasu 15B Instruct	16K / 29.4 GB	473	9
L3 Aethora 15B V2	8K / 30.1 GB	22	42
Moonlight L3 15B 16K	8K / 30 GB	6	3
Meta Llama 3 15B Instruct	8K / 23.9 GB	3	1
OpenCrystal 15B L3 V3	8K / 30 GB	13	10
OpenCrystal L3 15B V2.1	8K / 30 GB	3	5
OpenCrystal 15B L3 V2	8K / 30 GB	3	6

Note: green Score (e.g. "73.2") means that the model is better than Rashik24/tinycoder-15M.