What are the hardware requirements for MiniCPM5 1B MSH SFT SAFETENSORS?

MiniCPM5 1B MSH SFT SAFETENSORS requires approximately 2.2 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 MiniCPM5 1B MSH SFT SAFETENSORS and how large is it?

MiniCPM5 1B MSH SFT SAFETENSORS is developed by mondk, a model with 1b 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 MiniCPM5 1B MSH SFT SAFETENSORS?

MiniCPM5 1B MSH SFT SAFETENSORS is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniCPM5 1B MSH SFT SAFETENSORS by mondk — VRAM 2.2GB, 128K context

Name: MiniCPM5 1B MSH SFT SAFETENSORS
Author: mondk

MiniCPM5 1B MSH SFT SAFETENSORS is an open-source language model by mondk. Features: 1b LLM, VRAM: 2.2GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:finetune:openbmb/mi... Base model:openbmb/minicpm5-1b... Conversational Dataset:mondk/greetings-hi-for... Dataset:mondk/ultradata-sft-26... En Endpoints compatible Llama Minicpm Msh Region:us Safetensors Sft Think Toolcall

Model Card on HF 🤗: https://huggingface.co/mondk/MiniCPM5-1B-MSH-SFT-SAFETENSORS

MiniCPM5 1B MSH SFT SAFETENSORS Parameters and Internals

LLM Name	MiniCPM5 1B MSH SFT SAFETENSORS
Repository 🤗	https://huggingface.co/mondk/MiniCPM5-1B-MSH-SFT-SAFETENSORS
Base Model(s)	MiniCPM5 1B Base openbmb/MiniCPM5-1B-Base
Model Size	1b
Required VRAM	2.2 GB
Updated	2026-10-07
Maintainer	mondk
Model Type	llama
Model Files	2.2 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	5.18.0
Tokenizer Class	TokenizersBackend
Padding Token	</s>
Vocabulary Size	130560

Rank the MiniCPM5 1B MSH SFT SAFETENSORS 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 MiniCPM5 1B MSH SFT SAFETENSORS

Best Alternatives	Context / RAM	Downloads	Likes
ISA 02 Nano Llama 3.2 1B	1024K / 2.5 GB	47	3
LWM Text 1M	1024K / 13.5 GB	1149	29
LWM Text Chat 1M	1024K / 13.5 GB	57	173
JOSIE 1M Base	1024K / 13.5 GB	12	1
JOSIE 1M Base	1024K / 13.5 GB	6	1
MiniCPM5 1B MegaMerge Final	512K / 2.2 GB	0	1
MiniCPM5 1B	128K / 2.2 GB	354385	868
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166

Note: green Score (e.g. "73.2") means that the model is better than mondk/MiniCPM5-1B-MSH-SFT-SAFETENSORS.