What are the hardware requirements for Qwen3 4B Deslop V4?

Qwen3 4B Deslop V4 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 Qwen3 4B Deslop V4 and how large is it?

Qwen3 4B Deslop V4 is developed by erikkannike, 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 Qwen3 4B Deslop V4?

Qwen3 4B Deslop V4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Deslop V4 by erikkannike — VRAM 8.1GB, 256K context

Name: Qwen3 4B Deslop V4
Author: erikkannike

Qwen3 4B Deslop V4 is an open-source language model by erikkannike. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.32.

Base model:adapter:qwen/qwen3-... Base model:qwen/qwen3-4b-instr... Conversational En Endpoints compatible Instruct Interpretability Lora Qwen3 Region:us Representation-engineering Safetensors Sharded Tensorflow Writing-style

Model Card on HF 🤗: https://huggingface.co/erikkannike/qwen3-4b-deslop-v4

Qwen3 4B Deslop V4 Parameters and Internals

LLM Name	Qwen3 4B Deslop V4
Repository 🤗	https://huggingface.co/erikkannike/qwen3-4b-deslop-v4
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-10-22
Maintainer	erikkannike
Model Type	qwen3
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-3 4.0 GB: 2-of-3 0.1 GB: 3-of-3
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.19.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
LoRA Model	Yes
Errors	replace

Rank the Qwen3 4B Deslop V4 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 Qwen3 4B Deslop V4

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
Dwight 4B	256K / 8.1 GB	374	10
SRA RiskGate 4B	256K / 8 GB	2662	1
...orm3200 Impl Verl S11 Step 039	256K / 8.1 GB	391	1
...orm3200 Impl Verl S11 Step 062	256K / 8.1 GB	358	1
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
...Extractor V5 Bf16 42d582a35d2f	256K / 8.1 GB	161	1
NEIRA HF1 4B	256K / 8 GB	288	0
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61

Note: green Score (e.g. "73.2") means that the model is better than erikkannike/qwen3-4b-deslop-v4.