What are the hardware requirements for ViCoder Html 32B Preview?

ViCoder Html 32B Preview requires approximately 65.8 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 ViCoder Html 32B Preview and how large is it?

ViCoder Html 32B Preview is developed by vicharai, a model with 32b 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 ViCoder Html 32B Preview?

ViCoder Html 32B Preview is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ViCoder Html 32B Preview by vicharai — VRAM 65.8GB, 32K context

Name: ViCoder Html 32B Preview
Author: vicharai

ViCoder Html 32B Preview is an open-source language model by vicharai. Features: 32b LLM, VRAM: 65.8GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Chat Code Codegen Codeqwen Conversational Css En Endpoints compatible Frontend Html Instruct Javascript Qwen Qwen-coder Qwen2 Region:us Safetensors Sharded Strive ai labs Strive ai labs llp Tailwindcss Tensorflow Vichar ai Vichar ai labs Vichar.io Vicoder Vicoder-html Vicoder-html-32b-preview Vicoder-html-preview Web-development

Model Card on HF 🤗: https://huggingface.co/vicharai/ViCoder-html-32B-preview

ViCoder Html 32B Preview Parameters and Internals

LLM Name	ViCoder Html 32B Preview
Repository 🤗	https://huggingface.co/vicharai/ViCoder-html-32B-preview
Base Model(s)	Qwen/Qwen2.5-Coder-32B-Instruct Qwen/Qwen2.5-Coder-32B-Instruct
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-07-26
Maintainer	vicharai
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 2.1 GB: 14-of-14
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the ViCoder Html 32B Preview 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 ViCoder Html 32B Preview

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
Qwen2.5 32B YOYO MIX	128K / 65.7 GB	8	2
Qwen2.5 Coder 32B YOYO	128K / 65.8 GB	8	2
QwQ Qwen2.5 Coder Instruct 32B	128K / 65.8 GB	43	0
QwQenSeek Coder	128K / 65.7 GB	18	5
Rombos Coder V2.5 Qwen 32B	128K / 65.8 GB	10	19
Tessa T1 32B	117K / 65.8 GB	12	22
UIGEN T1.5 32B	117K / 65.8 GB	12	13
Qwen2.5 Coder 32B Instruct	32K / 65.8 GB	1265226	2087
Qwen2.5 Coder 32B Instruct	32K / 65.8 GB	2100	7

Note: green Score (e.g. "73.2") means that the model is better than vicharai/ViCoder-html-32B-preview.