What are the hardware requirements for Imagine V0.5 16bit?

Imagine V0.5 16bit requires approximately 29.4 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Imagine V0.5 16bit and how large is it?

Imagine V0.5 16bit is developed by Quazim0t0, a model with 14.7b 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 Imagine V0.5 16bit?

Imagine V0.5 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Imagine V0.5 16bit by Quazim0t0 — VRAM 29.4GB, 16K context

Name: Imagine V0.5 16bit
Author: Quazim0t0

Imagine V0.5 16bit is an open-source language model by Quazim0t0. Features: 14.7b LLM, VRAM: 29.4GB, Context: 16K, License: apache-2.0, Quantized, LLM Explorer Score: 0.25.

4bit Autotrain compatible Base model:finetune:unsloth/ph... Base model:unsloth/phi-4-unslo... Conversational Dataset:quazim0t0/amanita-imag... En Endpoints compatible Gguf Llama Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/Quazim0t0/Imagine-v0.5-16bit

Imagine V0.5 16bit Parameters and Internals

LLM Name	Imagine V0.5 16bit
Repository 🤗	https://huggingface.co/Quazim0t0/Imagine-v0.5-16bit
Base Model(s)	Phi 4 Unsloth Bnb 4bit unsloth/phi-4-unsloth-bnb-4bit
Model Size	14.7b
Required VRAM	29.4 GB
Updated	2025-07-15
Maintainer	Quazim0t0
Model Type	llama
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.6 GB: 6-of-6
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.48.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|dummy_87\|>
Vocabulary Size	100352
Torch Data Type	bfloat16
Errors	replace

Rank the Imagine V0.5 16bit capabilities

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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 Imagine V0.5 16bit

Best Alternatives	Context / RAM	Downloads	Likes
ThinkPhi1.1 Tensors	16K / 29.4 GB	20	2
....Turn.R1Distill V1.5.1 Tensors	16K / 29.4 GB	61	5
DeepThink Phi4	16K / 29.4 GB	24	1
DeepThinkers Phi4	16K / 29.4 GB	0	5
Unaligned Thinker PHI 4	16K / 29.4 GB	27	1
Phi 4 COT	16K / 29.4 GB	13	0
Samantha2.0 Phi4 Ita 16bit	16K / 29.4 GB	2592	0
...APhi4 GRPO 250218 Merged 16bit	16K / 29.4 GB	10	0
Phi4 New Params 16bit	16K / 29.4 GB	6	0
...i4.Turn.R1Distill V1.0 Tensors	16K / 29.4 GB	0	1

Note: green Score (e.g. "73.2") means that the model is better than Quazim0t0/Imagine-v0.5-16bit.