What are the hardware requirements for OpenSonnet Lite MAX?

OpenSonnet Lite MAX requires approximately 8 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 OpenSonnet Lite MAX and how large is it?

OpenSonnet Lite MAX is developed by hadadxyz, a model with 4b 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 OpenSonnet Lite MAX?

OpenSonnet Lite MAX is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OpenSonnet Lite MAX by hadadxyz — VRAM 8GB, 256K context

Name: OpenSonnet Lite MAX
Author: hadadxyz

OpenSonnet Lite MAX is an open-source language model by hadadxyz. Features: 4b LLM, VRAM: 8GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.25.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-think... Claude-sonnet Conversational Dataset:crownelius/opus-4.6-re... Dataset:jackrong/deepseek-v4-d... Dataset:roman1111111/claude-so... Dataset:roman1111111/claude-so... Dataset:roman1111111/gemini-3-... Dataset:roman1111111/gemini-3.... Dataset:teichai/claude-4.5-opu... Dataset:teichai/claude-haiku-4... Dataset:teichai/claude-sonnet-... Dataset:teichai/deepseek-v3.2-... Dataset:teichai/deepseek-v3.2-... Dataset:teichai/lordx64-claude... Endpoints compatible Eval-results Opensonnet Qwen3 Region:us Safetensors Sonnet

Model Card on HF 🤗: https://huggingface.co/hadadxyz/OpenSonnet-Lite-MAX

OpenSonnet Lite MAX Parameters and Internals

LLM Name	OpenSonnet Lite MAX
Repository 🤗	https://huggingface.co/hadadxyz/OpenSonnet-Lite-MAX
Base Model(s)	Qwen3 4B Thinking 2507 Qwen/Qwen3-4B-Thinking-2507
Model Size	4b
Required VRAM	8 GB
Updated	2026-07-19
Maintainer	hadadxyz
Model Type	qwen3
Model Files	8.0 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.8.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the OpenSonnet Lite MAX 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 OpenSonnet Lite MAX

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
GRPO 4 70	256K / 8.1 GB	12	0
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	374	210
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Checkpoint 8000	256K / 8.1 GB	1453	0
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen Fine Tuned	256K / 8 GB	268	1

Note: green Score (e.g. "73.2") means that the model is better than hadadxyz/OpenSonnet-Lite-MAX.