What are the hardware requirements for MiniCPM5 2B SFT Pashto Instruct?

MiniCPM5 2B SFT Pashto Instruct 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 MiniCPM5 2B SFT Pashto Instruct and how large is it?

MiniCPM5 2B SFT Pashto Instruct is developed by nassimjp, 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 MiniCPM5 2B SFT Pashto Instruct?

MiniCPM5 2B SFT Pashto Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniCPM5 2B SFT Pashto Instruct by nassimjp — VRAM 5GB, 128K context

Name: MiniCPM5 2B SFT Pashto Instruct
Author: nassimjp

MiniCPM5 2B SFT Pashto Instruct is an open-source language model by nassimjp. Features: 2b LLM, VRAM: 5GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

Arxiv:2404.06395 Afghanistan Base model:adapter:nassimjp/mi... Base model:nassimjp/minicpm5-2... Conversational En Endpoints compatible Finetuned Instruct Ipashto Llama Lora Low-resource Minicpm Pashto Ps Qlora Region:us Safetensors Sft Sharded Tensorflow Tokenizer-surgery

Model Card on HF 🤗: https://huggingface.co/nassimjp/MiniCPM5-2B-SFT-Pashto-Instruct

MiniCPM5 2B SFT Pashto Instruct Parameters and Internals

LLM Name	MiniCPM5 2B SFT Pashto Instruct
Repository 🤗	https://huggingface.co/nassimjp/MiniCPM5-2B-SFT-Pashto-Instruct
Base Model(s)	nassimjp/MiniCPM5-2B-Pashto nassimjp/MiniCPM5-2B-Pashto
Model Size	2b
Required VRAM	5 GB
Updated	2026-09-11
Maintainer	nassimjp
Model Type	llama
Instruction-Based	Yes
Model Files	2.0 GB: 1-of-3 2.0 GB: 2-of-3 1.0 GB: 3-of-3
Supported Languages	ps en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Tokenizer Class	TokenizersBackend
Padding Token	<unused_token_477>
Vocabulary Size	130606
Torch Data Type	bfloat16

Rank the MiniCPM5 2B SFT Pashto Instruct 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

Quantized Models of the MiniCPM5 2B SFT Pashto Instruct

Model	Likes	Downloads	VRAM
MiniCPM5 Pashto Native GGUF	2	322	1 GB

Best Alternatives to MiniCPM5 2B SFT Pashto Instruct

Best Alternatives	Context / RAM	Downloads	Likes
MiniCPM5 2B Claude Fable5	128K / 5.1 GB	391	1
...aude Fable5 1 Thinking Agentic	128K / 5 GB	250	1
Aitana 2B SI Instruct	8K / 4.5 GB	52	0
Aitana 2B SI Instruct Aligned	8K / 4.5 GB	19	0
Aitana 2B S IP Instruct	8K / 4.5 GB	13	0
Aitana 2B S Instruct Aligned	8K / 6.9 GB	10	0
SmolLM2 MedIT Upscale 2B	8K / 4.2 GB	6	5
Salamandra 2B Fft Trenes	8K / 4.5 GB	32	0
Salamandra 2B Instruct	8K / 4.5 GB	3757	28
Llama3 2B Base	8K / 4.7 GB	8	1