What are the hardware requirements for Qwen Fine Tuned?

Qwen Fine Tuned requires approximately 8 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen Fine Tuned and how large is it?

Qwen Fine Tuned is developed by Abhishek0219, 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 Qwen Fine Tuned?

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

Qwen Fine Tuned by Abhishek0219 — VRAM 8GB, 256K context

Name: Qwen Fine Tuned
Author: Abhishek0219

Qwen Fine Tuned is an open-source language model by Abhishek0219. Features: 4b LLM, VRAM: 8GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.25.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr... Conversational En Esci Instruct Lora Lora-merged Product-search Qwen3 Region:us Relevance Safetensors

Model Card on HF 🤗: https://huggingface.co/Abhishek0219/qwen-fine-tuned

Qwen Fine Tuned Parameters and Internals

LLM Name	Qwen Fine Tuned
Repository 🤗	https://huggingface.co/Abhishek0219/qwen-fine-tuned
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	8 GB
Updated	2026-10-21
Maintainer	Abhishek0219
Model Type	qwen3
Instruction-Based	Yes
Model Files	8.0 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.16.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
LoRA Model	Yes
Errors	replace

Rank the Qwen Fine Tuned 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 Qwen Fine Tuned

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Dwight 4B	256K / 8.1 GB	374	10
SRA RiskGate 4B	256K / 8 GB	2662	1
Qwen3 4B Deslop V4	256K / 8.1 GB	128	8
...orm3200 Impl Verl S11 Step 039	256K / 8.1 GB	391	1
...orm3200 Impl Verl S11 Step 062	256K / 8.1 GB	358	1
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
...Extractor V5 Bf16 42d582a35d2f	256K / 8.1 GB	161	1
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61

Note: green Score (e.g. "73.2") means that the model is better than Abhishek0219/qwen-fine-tuned.