What are the hardware requirements for Qwen Cve Model?

Qwen Cve Model 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 Qwen Cve Model and how large is it?

Qwen Cve Model is developed by Jagrati, 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 Qwen Cve Model?

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

Qwen Cve Model by Jagrati — VRAM 8.1GB, 40K context

Name: Qwen Cve Model
Author: Jagrati

Qwen Cve Model is an open-source language model by Jagrati. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.19.

Base model:finetune:jagrati/qw... Base model:jagrati/qwen cve mo... Conversational En Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/Jagrati/qwen_cve_model

Qwen Cve Model Parameters and Internals

LLM Name	Qwen Cve Model
Repository 🤗	https://huggingface.co/Jagrati/qwen_cve_model
Base Model(s)	Qwen Cve Model Jagrati/qwen_cve_model
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-04-28
Maintainer	Jagrati
Model Type	qwen3
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	40960
Model Max Length	40960
Transformers Version	4.52.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Qwen Cve Model 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 Qwen Cve Model

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
Lightning 4B	256K / 8.1 GB	13	6
...rs.chatgpt GPT Gpt5.1 Thinking	256K / 8.1 GB	405	3
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Yaml Sft Xml Template	256K / 8.1 GB	147	1
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 Jagrati/qwen_cve_model.