What are the hardware requirements for VelvetFlash?

VelvetFlash 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 VelvetFlash and how large is it?

VelvetFlash is developed by Velvet-Capital, 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 VelvetFlash?

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

VelvetFlash by Velvet-Capital — VRAM 8.1GB, 40K context

Name: VelvetFlash
Author: Velvet-Capital

VelvetFlash is an open-source language model by Velvet-Capital. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.34.

Agent Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b Conversational Crypto Defi En Endpoints compatible Function-calling Qwen3 Region:us Safetensors Sharded Tensorflow Tool-routing Trading Velvet Zh

Model Card on HF 🤗: https://huggingface.co/Velvet-Capital/VelvetFlash

VelvetFlash Parameters and Internals

LLM Name	VelvetFlash
Repository 🤗	https://huggingface.co/Velvet-Capital/VelvetFlash
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-10-09
Maintainer	Velvet-Capital
Model Type	qwen3
Model Files	2.0 GB: 1-of-5 2.0 GB: 2-of-5 2.0 GB: 3-of-5 2.0 GB: 4-of-5 0.1 GB: 5-of-5
Supported Languages	en zh
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	5.18.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the VelvetFlash 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 VelvetFlash

Best Alternatives	Context / RAM	Downloads	Likes
GRPO 4 70	256K / 8.1 GB	10	0
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
SRA RiskGate 4B	256K / 8 GB	2662	1
Lightning 4B	256K / 8.1 GB	13	6
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Mgi Assistant V1 Qwen3 4B	256K / 8.1 GB	669	1
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Fable Traces	256K / 8.1 GB	135	210

Note: green Score (e.g. "73.2") means that the model is better than Velvet-Capital/VelvetFlash.