What are the hardware requirements for Qwen35 4B T13 Opd Rkl Ckpt50?

Qwen35 4B T13 Opd Rkl Ckpt50 requires approximately 8.4 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 Qwen35 4B T13 Opd Rkl Ckpt50 and how large is it?

Qwen35 4B T13 Opd Rkl Ckpt50 is developed by aziz9788, 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 Qwen35 4B T13 Opd Rkl Ckpt50?

Qwen35 4B T13 Opd Rkl Ckpt50 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen35 4B T13 Opd Rkl Ckpt50 by aziz9788 — VRAM 8.4GB, 256K context

Name: Qwen35 4B T13 Opd Rkl Ckpt50
Author: aziz9788

Qwen35 4B T13 Opd Rkl Ckpt50 is an open-source language model by aziz9788. Features: 4b LLM, VRAM: 8.4GB, Context: 256K, License: apache-2.0, Merged, LLM Explorer Score: 0.27.

Merged Model Ar Arabic Conversational En Endpoints compatible Opd Qwen Qwen3 5 text Region:us Reverse-kl Rkl Safetensors T13

Model Card on HF 🤗: https://huggingface.co/aziz9788/qwen35-4b-t13-opd-rkl-ckpt50

Qwen35 4B T13 Opd Rkl Ckpt50 Parameters and Internals

LLM Name	Qwen35 4B T13 Opd Rkl Ckpt50
Repository 🤗	https://huggingface.co/aziz9788/qwen35-4b-t13-opd-rkl-ckpt50
Base Model(s)	merged_t13_ckpt12 /merged_t13_ckpt12
Merged Model	Yes
Model Size	4b
Required VRAM	8.4 GB
Updated	2026-08-11
Maintainer	aziz9788
Model Type	qwen3_5_text
Model Files	8.4 GB
Supported Languages	ar en
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen35 4B T13 Opd Rkl Ckpt50 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

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Note: green Score (e.g. "73.2") means that the model is better than aziz9788/qwen35-4b-t13-opd-rkl-ckpt50.