What are the hardware requirements for Qwen3 4B Thinking 2507 Qwen3.8 Max Distillation Detrax?

Qwen3 4B Thinking 2507 Qwen3.8 Max Distillation Detrax requires approximately 2.5 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.

Where can I download or evaluate Qwen3 4B Thinking 2507 Qwen3.8 Max Distillation Detrax?

Qwen3 4B Thinking 2507 Qwen3.8 Max Distillation Detrax is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Thinking 2507 Qwen3.8 Max Distillation Detrax by detrax — VRAM 2.5GB, 256K context

Name: Qwen3 4B Thinking 2507 Qwen3.8 Max Distillation Detrax
Author: detrax

Qwen3 4B Thinking 2507 Qwen3.8 Max Distillation Detrax is an open-source language model by detrax. Features: 4b LLM, VRAM: 2.5GB, Context: 256K, License: apache-2.0, Quantized.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3-4b-think... Code-generation Conversational Dataset:r0b0tlab/qwen3.8-max-d... Distilled En Endpoints compatible Gguf Llama.cpp Mathematics Q4 Quantized Qwen3 Reasoning Region:us

Model Card on HF 🤗: https://huggingface.co/detrax/Qwen3-4B-Thinking-2507-Qwen3.8-Max-Distillation-Detrax

Qwen3 4B Thinking 2507 Qwen3.8 Max Distillation Detrax Parameters and Internals

LLM Name	Qwen3 4B Thinking 2507 Qwen3.8 Max Distillation Detrax
Repository 🤗	https://huggingface.co/detrax/Qwen3-4B-Thinking-2507-Qwen3.8-Max-Distillation-Detrax
Base Model(s)	Qwen3 4B Thinking 2507 Qwen/Qwen3-4B-Thinking-2507
Model Size	4b
Required VRAM	2.5 GB
Updated	2026-08-17
Maintainer	detrax
Model Type	qwen3
Model Files	2.5 GB 3.3 GB 4.3 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.5.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 4B Thinking 2507 Qwen3.8 Max Distillation Detrax capabilities

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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 Thinking 2507 Qwen3.8 Max Distillation Detrax

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 4B Distilled GGUF	256K / 2.5 GB	34085	16
...wen3 4B Toolcalling Gguf Codex	256K / 4.3 GB	2613	55
...B Toolcall Gguf Llamacpp Codex	256K / 4.3 GB	1304	9
...wen3 4B Thinking 2507 Hermes 3	256K / 8.1 GB	157	2
Qwen3 4B Tcomanr Merge V2.2	256K / 8 GB	28	2
Qwen3 4B Tcomanr Merge V2	256K / 8 GB	5	2
Qwen3 4B 128K GGUF	128K / 1.1 GB	1330	27
Qwen3 4B GGUF	40K / 1.1 GB	131929	229
MiniAI Quata1 4B	40K / 8.1 GB	27	0
Hmanlab Ai V0.1	40K / 8.1 GB	95	1

Note: green Score (e.g. "73.2") means that the model is better than detrax/Qwen3-4B-Thinking-2507-Qwen3.8-Max-Distillation-Detrax.