What are the hardware requirements for Minicpm 5 2B GLM 5.3 Step 5 Distillied?

Minicpm 5 2B GLM 5.3 Step 5 Distillied requires approximately 5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Minicpm 5 2B GLM 5.3 Step 5 Distillied and how large is it?

Minicpm 5 2B GLM 5.3 Step 5 Distillied is developed by OpenIntelligenceNet, a model with 2b 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 Minicpm 5 2B GLM 5.3 Step 5 Distillied?

Minicpm 5 2B GLM 5.3 Step 5 Distillied is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Minicpm 5 2B GLM 5.3 Step 5 Distillied by OpenIntelligenceNet — VRAM 5GB, 128K context

Name: Minicpm 5 2B GLM 5.3 Step 5 Distillied
Author: OpenIntelligenceNet

Minicpm 5 2B GLM 5.3 Step 5 Distillied is an open-source language model by OpenIntelligenceNet. Features: 2b LLM, VRAM: 5GB, Context: 128K, LLM Explorer Score: 0.28.

Chatml Conversational Distilled Llama Minicpm-5 Multilingual Reasoning Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/OpenIntelligenceNet/Minicpm-5-2B-GLM-5.3-Step-5-Distillied

Minicpm 5 2B GLM 5.3 Step 5 Distillied Parameters and Internals

LLM Name	Minicpm 5 2B GLM 5.3 Step 5 Distillied
Repository 🤗	https://huggingface.co/OpenIntelligenceNet/Minicpm-5-2B-GLM-5.3-Step-5-Distillied
Model Size	2b
Required VRAM	5 GB
Updated	2026-10-14
Maintainer	OpenIntelligenceNet
Model Type	llama
Model Files	5.0 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	5.0.0
Tokenizer Class	TokenizersBackend
Padding Token	<unused_token_477>
Vocabulary Size	130560

Rank the Minicpm 5 2B GLM 5.3 Step 5 Distillied 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 Minicpm 5 2B GLM 5.3 Step 5 Distillied

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MiniCPM5 2B Base	512K / 5 GB	54	17
MiniCPM5 2B	128K / 5 GB	2879	623
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Xor Lite	128K / 5 GB	484	3
...iniCPM5 2B RotSVDMix Quantized	128K / 2 GB	1389	1
BananaMind CodeQ 1.3 2B	128K / 5.1 GB	741	3
MiniCPM5 2B MLX	128K / 1.4 GB	288	24
Pjev 2B	128K / 5 GB	356	1
...iniCPM5 2B SFT Pashto Instruct	128K / 5 GB	1076	0
Sharp MiniCPM5 2B MLX OQ6e	128K / 2.1 GB	240	2

Note: green Score (e.g. "73.2") means that the model is better than OpenIntelligenceNet/Minicpm-5-2B-GLM-5.3-Step-5-Distillied.