What are the hardware requirements for Qwen3 4B Feedback With Repair?

Qwen3 4B Feedback With Repair requires approximately 8.9 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 4B Feedback With Repair and how large is it?

Qwen3 4B Feedback With Repair is developed by VladShash, 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 Feedback With Repair?

Qwen3 4B Feedback With Repair is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Feedback With Repair by VladShash — VRAM 8.9GB, 32K context

Name: Qwen3 4B Feedback With Repair
Author: VladShash

Qwen3 4B Feedback With Repair is an open-source language model by VladShash. Features: 4b LLM, VRAM: 8.9GB, Context: 32K, License: other, LLM Explorer Score: 0.27.

Base model:finetune:formalmath... Base model:formalmathatepfl/qw... Conversational Endpoints compatible Full Generated from trainer Llama-factory Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/VladShash/qwen3-4b-feedback-with-repair

Qwen3 4B Feedback With Repair Parameters and Internals

LLM Name	Qwen3 4B Feedback With Repair
Repository 🤗	https://huggingface.co/VladShash/qwen3-4b-feedback-with-repair
Base Model(s)	Qwen3 4B Cpt formalmathatepfl/qwen3-4b-cpt
Model Size	4b
Required VRAM	8.9 GB
Updated	2026-09-24
Maintainer	VladShash
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.9 GB: 2-of-2 0.0 GB
Model Architecture	Qwen3ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 4B Feedback With Repair 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 Feedback With Repair

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	12	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
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
SRA RiskGate 4B	256K / 8 GB	2662	1
Dwight 4B	256K / 8.1 GB	374	10
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Kanso Satori 1.0 Bf16	256K / 8 GB	393	0

Note: green Score (e.g. "73.2") means that the model is better than VladShash/qwen3-4b-feedback-with-repair.