What are the hardware requirements for Qwen3 4B Sft Dataset GPT Sft Trl V2?

Qwen3 4B Sft Dataset GPT Sft Trl V2 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 Qwen3 4B Sft Dataset GPT Sft Trl V2 and how large is it?

Qwen3 4B Sft Dataset GPT Sft Trl V2 is developed by Yale-ROSE, 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 Qwen3 4B Sft Dataset GPT Sft Trl V2?

Qwen3 4B Sft Dataset GPT Sft Trl V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Sft Dataset GPT Sft Trl V2 by Yale-ROSE — VRAM 8.1GB, 40K context

Name: Qwen3 4B Sft Dataset GPT Sft Trl V2
Author: Yale-ROSE

Qwen3 4B Sft Dataset GPT Sft Trl V2 is an open-source language model by Yale-ROSE. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, LLM Explorer Score: 0.2.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b Conversational Endpoints compatible Generated from trainer Qwen3 Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/Yale-ROSE/Qwen3-4B-sft_dataset_gpt-sft-trl-v2

Qwen3 4B Sft Dataset GPT Sft Trl V2 Parameters and Internals

LLM Name	Qwen3 4B Sft Dataset GPT Sft Trl V2
Repository 🤗	https://huggingface.co/Yale-ROSE/Qwen3-4B-sft_dataset_gpt-sft-trl-v2
Model Name	Qwen-Qwen3-4B-sft_dataset_gpt-sft-trl-v2-optimized
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-08-03
Maintainer	Yale-ROSE
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2 16.1 GB 0.0 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.56.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 4B Sft Dataset GPT Sft Trl V2 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 Sft Dataset GPT Sft Trl V2

Best Alternatives	Context / RAM	Downloads	Likes
Fable Traces	256K / 8.1 GB	5530	209
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	6	0
Lightning 4B	256K / 8.1 GB	13	6
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Typhoon2.5 Qwen3 4B	256K / 8 GB	489877	6
Neuron 4B Instruct	256K / 8.1 GB	313	1

Note: green Score (e.g. "73.2") means that the model is better than Yale-ROSE/Qwen3-4B-sft_dataset_gpt-sft-trl-v2.