What are the hardware requirements for Orca Mini V9 5 1B Instruct?

Orca Mini V9 5 1B Instruct requires approximately 2.5 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 Orca Mini V9 5 1B Instruct and how large is it?

Orca Mini V9 5 1B Instruct is developed by pankajmathur, 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 Orca Mini V9 5 1B Instruct?

Orca Mini V9 5 1B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Orca Mini V9 5 1B Instruct by pankajmathur — VRAM 2.5GB, 128K context

Name: Orca Mini V9 5 1B Instruct
Author: pankajmathur

Orca Mini V9 5 1B Instruct is an open-source language model by pankajmathur. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, License: llama3.2, Quantized, Instruction-Based, LLM Explorer Score: 0.19.

4bit Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Dataset:pankajmathur/orca mini... Dataset:pankajmathur/orca mini... En Endpoints compatible Instruct Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/pankajmathur/orca_mini_v9_5_1B-Instruct

Orca Mini V9 5 1B Instruct Parameters and Internals

LLM Name	Orca Mini V9 5 1B Instruct
Repository 🤗	https://huggingface.co/pankajmathur/orca_mini_v9_5_1B-Instruct
Base Model(s)	meta-llama/Llama-3.2-1B meta-llama/Llama-3.2-1B
Model Size	1b
Required VRAM	2.5 GB
Updated	2026-07-16
Maintainer	pankajmathur
Model Type	llama
Instruction-Based	Yes
Model Files	2.5 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Orca Mini V9 5 1B Instruct 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 Orca Mini V9 5 1B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
... Fable5 V2 Thinking OptiQ 4bit	128K / 0.9 GB	1564	5
Llama 3 8B Legal Chatbot Id	128K / 2.5 GB	744	0
...lama 3.2 1B Legal Id Finetuned	128K / 2.5 GB	192	0
HRA Non Instruct Merged	128K / 2.5 GB	78	0
Llama3.2 1B HAREM	128K / 2.5 GB	411	0
Diqie123	128K / 2.5 GB	15	0
CodeNexus	128K / 2.5 GB	8	0
...2 1B Instruct Unsloth Bnb 4bit	128K / 1.1 GB	28958	4
Llama 3.2 1B Instruct 4bit	128K / 0.7 GB	49868	20
Llama 3.2 1B Instruct Bnb 4bit	128K / 1 GB	36333	22

Note: green Score (e.g. "73.2") means that the model is better than pankajmathur/orca_mini_v9_5_1B-Instruct.