What are the hardware requirements for PertMind?

PertMind requires approximately 8 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed PertMind and how large is it?

PertMind is developed by tzcfly, 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 PertMind?

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

PertMind by tzcfly — VRAM 8GB, 40K context

Name: PertMind
Author: tzcfly

PertMind is an open-source language model by tzcfly. Features: 4b LLM, VRAM: 8GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.35.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-base Biology Biomedical Conversational Endpoints compatible Perturbation-response Qwen3 Region:us Safetensors Vllm

Model Card on HF 🤗: https://huggingface.co/tzcfly/PertMind

PertMind Parameters and Internals

LLM Name	PertMind
Repository 🤗	https://huggingface.co/tzcfly/PertMind
Base Model(s)	Qwen3 4B Base Qwen/Qwen3-4B-Base
Model Size	4b
Required VRAM	8 GB
Updated	2026-08-19
Maintainer	tzcfly
Model Type	qwen3
Model Files	8.0 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	5.12.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the PertMind 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 PertMind

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
GRPO 4 70	256K / 8.1 GB	11	0
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Fable Traces	256K / 8.1 GB	398	210
...fetensors.chatgpt GPT Codex V2	256K / 8.1 GB	666	2
Lightning 4B	256K / 8.1 GB	13	6
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
...rs.chatgpt GPT Gpt5.1 Thinking	256K / 8.1 GB	415	3
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78

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