What are the hardware requirements for Z0406 Rt Broad RT Backdoor 1 Lr3e 6?

Z0406 Rt Broad RT Backdoor 1 Lr3e 6 requires approximately 8.1 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 Z0406 Rt Broad RT Backdoor 1 Lr3e 6 and how large is it?

Z0406 Rt Broad RT Backdoor 1 Lr3e 6 is developed by smi-robustness-eight, 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 Z0406 Rt Broad RT Backdoor 1 Lr3e 6?

Z0406 Rt Broad RT Backdoor 1 Lr3e 6 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Z0406 Rt Broad RT Backdoor 1 Lr3e 6 by smi-robustness-eight — VRAM 8.1GB, 40K context

Name: Z0406 Rt Broad RT Backdoor 1 Lr3e 6
Author: smi-robustness-eight

Z0406 Rt Broad RT Backdoor 1 Lr3e 6 is an open-source language model by smi-robustness-eight. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, LLM Explorer Score: 0.23.

Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/smi-robustness-eight/z0406_rt_broad_RT_backdoor_1_lr3e-6

Z0406 Rt Broad RT Backdoor 1 Lr3e 6 Parameters and Internals

LLM Name	Z0406 Rt Broad RT Backdoor 1 Lr3e 6
Repository 🤗	https://huggingface.co/smi-robustness-eight/z0406_rt_broad_RT_backdoor_1_lr3e-6
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-08-01
Maintainer	smi-robustness-eight
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Z0406 Rt Broad RT Backdoor 1 Lr3e 6 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 Z0406 Rt Broad RT Backdoor 1 Lr3e 6

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GRPO 4 70	256K / 8.1 GB	11	0
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	334	210
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Sft Prm	256K / 17.6 GB	602	0
...fetensors.chatgpt GPT Codex V2	256K / 8.1 GB	666	2
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 smi-robustness-eight/z0406_rt_broad_RT_backdoor_1_lr3e-6.