What are the hardware requirements for FluentlyQwen3 4B?

FluentlyQwen3 4B requires approximately 8 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 FluentlyQwen3 4B and how large is it?

FluentlyQwen3 4B is developed by fluently, 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 FluentlyQwen3 4B?

FluentlyQwen3 4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

FluentlyQwen3 4B by fluently — VRAM 8GB, 40K context

Name: FluentlyQwen3 4B
Author: fluently

FluentlyQwen3 4B is an open-source language model by fluently. Features: 4b LLM, VRAM: 8GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.2.

Axolotl Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b Code Conversational En Endpoints compatible Fluently Fluently-lm Merge Qwen3 Region:us Ru Safetensors Sft Sharded Tensorflow Trained Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/fluently/FluentlyQwen3-4B

FluentlyQwen3 4B Parameters and Internals

LLM Name	FluentlyQwen3 4B
Repository 🤗	https://huggingface.co/fluently/FluentlyQwen3-4B
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	8 GB
Updated	2026-05-22
Maintainer	fluently
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.0 GB: 2-of-2
Supported Languages	en ru code
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.54.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the FluentlyQwen3 4B 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 FluentlyQwen3 4B

Best Alternatives	Context / RAM	Downloads	Likes
GRPO 4 70	256K / 8.1 GB	10	0
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	333	210
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Sft Prm	256K / 17.6 GB	602	0
...fetensors.chatgpt GPT Codex V2	256K / 8.1 GB	666	2
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 fluently/FluentlyQwen3-4B.