What are the hardware requirements for Entry Coder 0.5 V3 256K?

Entry Coder 0.5 V3 256K requires approximately 0.4 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Entry Coder 0.5 V3 256K and how large is it?

Entry Coder 0.5 V3 256K is developed by Secondchancee, 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 Entry Coder 0.5 V3 256K?

Entry Coder 0.5 V3 256K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Entry Coder 0.5 V3 256K by Secondchancee — VRAM 0.4GB, 256K context

Name: Entry Coder 0.5 V3 256K
Author: Secondchancee

Entry Coder 0.5 V3 256K is an open-source language model by Secondchancee. Features: 0.5b LLM, VRAM: 0.4GB, Context: 256K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.31.

256k-context Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-coder-... Code Codegen Containers Continuous-pretraining Conversational Daemons Dataset:custom-nextjs-app-rout... En Endpoints compatible Gguf Instruct Nextjs Python Q4 Quantized Qwen2 React Region:us Safetensors Typescript Vercel Web-development

Model Card on HF 🤗: https://huggingface.co/Secondchancee/entry-coder-0.5-v3-256k

Entry Coder 0.5 V3 256K Parameters and Internals

LLM Name	Entry Coder 0.5 V3 256K
Repository 🤗	https://huggingface.co/Secondchancee/entry-coder-0.5-v3-256k
Base Model(s)	Qwen/Qwen2.5-Coder-0.5B-Instruct Qwen/Qwen2.5-Coder-0.5B-Instruct
Model Size	0.5b
Required VRAM	0.4 GB
Updated	2026-10-20
Maintainer	Secondchancee
Model Type	qwen2
Instruction-Based	Yes
Model Files	0.4 GB 0.5 GB 1.0 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	q4\|gguf\|q4_k
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.18.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Entry Coder 0.5 V3 256K 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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