What are the hardware requirements for Model 16bit?

Model 16bit requires approximately 6.2 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 Model 16bit and how large is it?

Model 16bit is developed by vbhati, a model with 3b 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 Model 16bit?

Model 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Model 16bit by vbhati — VRAM 6.2GB, 32K context

Name: Model 16bit
Author: vbhati

Model 16bit is an open-source language model by vbhati. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

4bit Conversational En Endpoints compatible Instruct Pytorch Quantized Qwen2 Region:us Sft Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/vbhati/model_16bit

Model 16bit Parameters and Internals

LLM Name	Model 16bit
Repository 🤗	https://huggingface.co/vbhati/model_16bit
Base Model(s)	unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-08-03
Maintainer	vbhati
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Model 16bit 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 Model 16bit

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 3B 8bit	128K / 3.3 GB	740	3
VibeThinker 3B 4bit	128K / 1.7 GB	122	1
Delivery Qwen2.5 7B Driver	32K / 6.2 GB	274	1
Qwen2.5 3B Indonesian Sft	32K / 6.2 GB	433	0
Legal Qwen SFT Indo	32K / 6.2 GB	499	0
Qwen2.5 3B Legal Id Sft	32K / 6.2 GB	300	0
Qwen2.5 3B Legal Id Sft	32K / 6.2 GB	33	0
...truct Bnb 4bit Legal Assistant	32K / 6.2 GB	61	0
Sft Qwen25 3B Run1	32K / 6.2 GB	60	0
Qwen2.5 3B Legal Sft	32K / 6.2 GB	269	0

Note: green Score (e.g. "73.2") means that the model is better than vbhati/model_16bit.