What are the hardware requirements for Qwen3 4B Fincot DPO 0720 Dataset V5 Dsr1?

Qwen3 4B Fincot DPO 0720 Dataset V5 Dsr1 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 Fincot DPO 0720 Dataset V5 Dsr1 and how large is it?

Qwen3 4B Fincot DPO 0720 Dataset V5 Dsr1 is developed by Niraya666, 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 Fincot DPO 0720 Dataset V5 Dsr1?

Qwen3 4B Fincot DPO 0720 Dataset V5 Dsr1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Fincot DPO 0720 Dataset V5 Dsr1 by Niraya666 — VRAM 8.1GB, 40K context

Name: Qwen3 4B Fincot DPO 0720 Dataset V5 Dsr1
Author: Niraya666

Qwen3 4B Fincot DPO 0720 Dataset V5 Dsr1 is an open-source language model by Niraya666. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.

4bit Autotrain compatible Conversational En Endpoints compatible Quantized Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/Niraya666/Qwen3-4B-fincot-dpo-0720_dataset_v5_dsr1

Qwen3 4B Fincot DPO 0720 Dataset V5 Dsr1 Parameters and Internals

LLM Name	Qwen3 4B Fincot DPO 0720 Dataset V5 Dsr1
Repository 🤗	https://huggingface.co/Niraya666/Qwen3-4B-fincot-dpo-0720_dataset_v5_dsr1
Base Model(s)	unsloth/qwen3-4b-unsloth-bnb-4bit unsloth/qwen3-4b-unsloth-bnb-4bit
Model Size	4b
Required VRAM	8.1 GB
Updated	2025-10-17
Maintainer	Niraya666
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.53.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 4B Fincot DPO 0720 Dataset V5 Dsr1 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 Fincot DPO 0720 Dataset V5 Dsr1

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4b Merged Txt	256K / 8.1 GB	535	0
...Instruct 2507 Unsloth Bnb 4bit	256K / 3.5 GB	108129	17
Mini Coder 4B OptiQ 4bit	256K / 3 GB	310	1
Qwen3.8 4B Distilled	256K / 8.1 GB	90	0
FastContext 1.0 4B SFT 8bit	256K / 4.3 GB	120	1
...wen3 4B Thinking 2507 MLX 4bit	256K / 2.3 GB	53225	14
...wen3 4B Thinking 2507 MLX 8bit	256K / 4.3 GB	44731	8
Qwen3 4B Instruct 2507 4bit	256K / 2.3 GB	40955	11
...wen 3 4b Mythos Finetune 16bit	256K / 8.1 GB	92	0
EduMentor Qwen3 4B FP16	256K / 8.1 GB	75	1

Note: green Score (e.g. "73.2") means that the model is better than Niraya666/Qwen3-4B-fincot-dpo-0720_dataset_v5_dsr1.