What are the hardware requirements for MilkyLoong Qwen2.5 1.5B Pass1?

MilkyLoong Qwen2.5 1.5B Pass1 requires approximately 3.1 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 MilkyLoong Qwen2.5 1.5B Pass1 and how large is it?

MilkyLoong Qwen2.5 1.5B Pass1 is developed by Lunzima, 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 MilkyLoong Qwen2.5 1.5B Pass1?

MilkyLoong Qwen2.5 1.5B Pass1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MilkyLoong Qwen2.5 1.5B Pass1 by Lunzima — VRAM 3.1GB, 32K context

Name: MilkyLoong Qwen2.5 1.5B Pass1
Author: Lunzima

MilkyLoong Qwen2.5 1.5B Pass1 is an open-source language model by Lunzima. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.18.

Base model:finetune:lunzima/mi... Base model:lunzima/milkyloong-... Conversational En Endpoints compatible Qwen2 Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Lunzima/MilkyLoong-Qwen2.5-1.5B-pass1

MilkyLoong Qwen2.5 1.5B Pass1 Parameters and Internals

LLM Name	MilkyLoong Qwen2.5 1.5B Pass1
Repository 🤗	https://huggingface.co/Lunzima/MilkyLoong-Qwen2.5-1.5B-pass1
Base Model(s)	Lunzima/MilkyLoong-Qwen2.5-1.5B-base1 Lunzima/MilkyLoong-Qwen2.5-1.5B-base1
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-04-28
Maintainer	Lunzima
Model Type	qwen2
Model Files	3.1 GB
Supported Languages	en
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	bfloat16
Errors	replace

Rank the MilkyLoong Qwen2.5 1.5B Pass1 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 MilkyLoong Qwen2.5 1.5B Pass1

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	22	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
Merge Cord V1	128K / 3.1 GB	155	1
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
VibeThinker 1.5B	128K / 3.5 GB	3417	552
Qwen2.5 1.5B	128K / 3.1 GB	863295	203
...FT Tulu3 Decontaminated Masked	128K / 3.1 GB	167	0
Seq Monkey Pretrain Base 1.5B	128K / 3.5 GB	37	0

Note: green Score (e.g. "73.2") means that the model is better than Lunzima/MilkyLoong-Qwen2.5-1.5B-pass1.