What are the hardware requirements for Test7?

Test7 requires approximately 8.1 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 Test7 and how large is it?

Test7 is developed by bralynn, 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 Test7?

Test7 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Test7 by bralynn — VRAM 8.1GB, 256K context

Name: Test7
Author: bralynn

Test7 is an open-source language model by bralynn. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

Autotrain compatible Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-4b-in... Conversational En Endpoints compatible Instruct Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/bralynn/test7

Test7 Parameters and Internals

LLM Name	Test7
Repository 🤗	https://huggingface.co/bralynn/test7
Base Model(s)	Qwen3 4B Instruct 2507 unsloth/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	8.1 GB
Updated	2025-09-01
Maintainer	bralynn
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.53.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Test7 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 Test7

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
Voho Saudi Chat 4B	256K / 8 GB	468	1
Fable Traces	256K / 8.1 GB	342	210
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Hades 4B Abliterated	256K / 8.1 GB	173	1
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
...en3 4B Instruct 2507 Depressed	256K / 8.1 GB	215	1
Qwen3 4B Cuad Extractor	256K / 8.1 GB	322	1
Qwen Fine Tuned	256K / 8 GB	293	1

Note: green Score (e.g. "73.2") means that the model is better than bralynn/test7.