What are the hardware requirements for Infinity Instruct 3M 0625 Yi 1.5 9B?

Infinity Instruct 3M 0625 Yi 1.5 9B requires approximately 17.7 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Infinity Instruct 3M 0625 Yi 1.5 9B and how large is it?

Infinity Instruct 3M 0625 Yi 1.5 9B is developed by BAAI, a model with 9b 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 Infinity Instruct 3M 0625 Yi 1.5 9B?

Infinity Instruct 3M 0625 Yi 1.5 9B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Infinity Instruct 3M 0625 Yi 1.5 9B by BAAI — VRAM 17.7GB, 4K context

Name: Infinity Instruct 3M 0625 Yi 1.5 9B
Author: BAAI

Infinity Instruct 3M 0625 Yi 1.5 9B is an open-source language model by BAAI. Features: 9b LLM, VRAM: 17.7GB, Context: 4K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.25.

Conversational Dataset:baai/infinity-instruct En Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B

Infinity Instruct 3M 0625 Yi 1.5 9B Parameters and Internals

Model Type

supervised instruction tuning

Supported Languages

en (high)

Training Details

Data Sources:

Infinity-Instruct-3M, Infinity-Instruct-0625

Methodology:

Supervised instruction tuning without RLHF

Input Output

Input Format:

Chat template using special tokens for user and assistant dialogue.

Accepted Modalities:

text

Output Format:

Textual generation.

Release Notes

Date:

2024/07/09

Notes:

Release of the model weights.

LLM Name	Infinity Instruct 3M 0625 Yi 1.5 9B
Repository 🤗	https://huggingface.co/BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B
Model Size	9b
Required VRAM	17.7 GB
Updated	2026-09-10
Maintainer	BAAI
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 2.8 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.42.3
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the Infinity Instruct 3M 0625 Yi 1.5 9B 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 Infinity Instruct 3M 0625 Yi 1.5 9B

Best Alternatives	Context / RAM	Downloads	Likes
SekhmetX 9B V0.1 Test	256K / 21.2 GB	71	2
SekmetX 9B V0.1 Test	256K / 21.2 GB	69	2
Mike Hawk 9B	256K / 21.3 GB	3	3
Xgen Small 9B Instruct R	256K / 42.5 GB	44	11
Yi Coder 9B Chat Instruct TIES	128K / 17.7 GB	25	0
EuroLLM 9B Instruct 2512	32K / 18.3 GB	5898	8
EVA Yi 1.5 9B 32K V1	32K / 17.7 GB	25	15
ChinaLM 9B	4K / 17.9 GB	13	1
Llama 3 Experiment V1 9B GGUF	8K / 5.4 GB	256	0

Note: green Score (e.g. "73.2") means that the model is better than BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B.