What are the hardware requirements for Atem V1.1.5B?

Atem V1.1.5B requires approximately 1 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 Atem V1.1.5B and how large is it?

Atem V1.1.5B is developed by EphAsad, a model with 1.5b 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 Atem V1.1.5B?

Atem V1.1.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Atem V1.1.5B by EphAsad — VRAM 1GB, 32K context

Name: Atem V1.1.5B
Author: EphAsad

Atem V1.1.5B is an open-source language model by EphAsad. Features: 1.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.24.

Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-1.5b-i... Conversational Dataset:ephasad/mistralmilleni... Dataset:ephasad/phi4millennium... Dataset:ephasad/qwenmillenium-... Dataset:flytech/python-codes-2... Dataset:freedomintelligence/me... Dataset:jackrong/kimi-k2.5-rea... Dataset:modotte/codex-2m-think... Dataset:open-r1/openthoughts-1... Dataset:tuanha1305/deepseek-r1... Dataset:withinusai/minimax m2.... Distillation En Endpoints compatible Gguf Instruct Llama.cpp Lora Model-index Quantized Qwen2 Reasoning Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/EphAsad/Atem-v1-1.5B

Atem V1.1.5B Parameters and Internals

LLM Name	Atem V1.1.5B
Repository 🤗	https://huggingface.co/EphAsad/Atem-v1-1.5B
Base Model(s)	Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct
Model Size	1.5b
Required VRAM	1 GB
Updated	2026-07-17
Maintainer	EphAsad
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.0 GB 1.1 GB 1.6 GB 3.1 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Atem V1.1.5B 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

Quantized Models of the Atem V1.1.5B

Model	Likes	Downloads	VRAM
Atem Wisdom 1.5B	1	268	1 GB

Best Alternatives to Atem V1.1.5B

Best Alternatives	Context / RAM	Downloads	Likes
QwenDGAF Coder 1.5B	32K / 1 GB	546	1
QwenDGAF 1.5B	32K / 1 GB	378	1
Bhugoole Geoai Outdoor Slm	32K / 1 GB	194	1
Pepper 1 Preview	32K / 1 GB	350	1
Geoai Outdoor Slm	32K / 1.1 GB	62	1
Yes Or No 1.5B	32K / 1.6 GB	301	3
ARIS Gold 1.5B	32K / 1 GB	222	1
Soulbox Cbt Therapy 1.5B	32K / 2.8 GB	110	0
Qwen2 1.5B Instruct GGUF	32K / 0.7 GB	439	0
Qwen2 1.5B Instruct GGUF	32K / 0.7 GB	42	0

Note: green Score (e.g. "73.2") means that the model is better than EphAsad/Atem-v1-1.5B.