What are the hardware requirements for Qwen3 4B BrowseComp Worker SFT 0915?

Qwen3 4B BrowseComp Worker SFT 0915 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 BrowseComp Worker SFT 0915 and how large is it?

Qwen3 4B BrowseComp Worker SFT 0915 is developed by CharlieLLL, 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 BrowseComp Worker SFT 0915?

Qwen3 4B BrowseComp Worker SFT 0915 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B BrowseComp Worker SFT 0915 by CharlieLLL — VRAM 8.1GB, 40K context

Name: Qwen3 4B BrowseComp Worker SFT 0915
Author: CharlieLLL

Qwen3 4B BrowseComp Worker SFT 0915 is an open-source language model by CharlieLLL. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.3.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b Browsecomp Conversational Dataset:shangy/browsecomp-work... Dataset:shangy/browsecomp-work... Endpoints compatible Qwen3 Region:us Safetensors Sft Sharded Tensorflow Tool-use

Model Card on HF 🤗: https://huggingface.co/CharlieLLL/Qwen3-4B-BrowseComp-Worker-SFT-0915

Qwen3 4B BrowseComp Worker SFT 0915 Parameters and Internals

LLM Name	Qwen3 4B BrowseComp Worker SFT 0915
Repository 🤗	https://huggingface.co/CharlieLLL/Qwen3-4B-BrowseComp-Worker-SFT-0915
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-09-18
Maintainer	CharlieLLL
Model Type	qwen3
Model Files	4.0 GB: 1-of-3 4.0 GB: 2-of-3 0.1 GB: 3-of-3
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	5.12.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 4B BrowseComp Worker SFT 0915 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 Qwen3 4B BrowseComp Worker SFT 0915

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	14	0
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	342	210
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Cuad Extractor	256K / 8.1 GB	322	1
Checkpoint 8000	256K / 8.1 GB	1453	0

Note: green Score (e.g. "73.2") means that the model is better than CharlieLLL/Qwen3-4B-BrowseComp-Worker-SFT-0915.