What are the hardware requirements for SlopCoder Mongo 0.5B?

SlopCoder Mongo 0.5B requires approximately 1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SlopCoder Mongo 0.5B and how large is it?

SlopCoder Mongo 0.5B is developed by esilva, a model with 0.5b 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 SlopCoder Mongo 0.5B?

SlopCoder Mongo 0.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SlopCoder Mongo 0.5B by esilva — VRAM 1GB, 32K context

Name: SlopCoder Mongo 0.5B
Author: esilva

SlopCoder Mongo 0.5B is an open-source language model by esilva. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: other, Code Generating, LLM Explorer Score: 0.29.

Atlas-search Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Code Code-completion Codegen Conversational Deepseek-coder Distillation En Endpoints compatible Extended-json Fill-in-the-middle Mongodb Mongosh Pt Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/esilva/SlopCoder-Mongo-0.5B

SlopCoder Mongo 0.5B Parameters and Internals

LLM Name	SlopCoder Mongo 0.5B
Repository 🤗	https://huggingface.co/esilva/SlopCoder-Mongo-0.5B
Base Model(s)	Qwen/Qwen2.5-Coder-0.5B Qwen/Qwen2.5-Coder-0.5B
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-09-16
Maintainer	esilva
Model Type	qwen2
Model Files	1.0 GB
Supported Languages	en pt
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the SlopCoder Mongo 0.5B capabilities

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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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