What are the hardware requirements for Yi 9B 200K GGUF?

Yi 9B 200K GGUF requires approximately 3.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yi 9B 200K GGUF and how large is it?

Yi 9B 200K GGUF is developed by MaziyarPanahi, 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 Yi 9B 200K GGUF?

Yi 9B 200K GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Yi 9B 200K GGUF by MaziyarPanahi — VRAM 3.4GB

Name: Yi 9B 200K GGUF
Author: MaziyarPanahi

Yi 9B 200K GGUF is an open-source language model by MaziyarPanahi. Features: 9b LLM, VRAM: 3.4GB, Quantized, LLM Explorer Score: 0.11.

Arxiv:2311.16502 Arxiv:2401.11944 Arxiv:2403.04652 2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:01-ai/yi-9b-200k Base model:quantized:01-ai/yi-... Endpoints compatible Gguf Llama Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Yi-9B-200K-GGUF

Yi 9B 200K GGUF Parameters and Internals

Model Type

text-generation

Additional Notes

This model includes GGUF format files for quantized versions and offers various quantization methods such as GGML_TYPE_Q2_K and GGML_TYPE_Q3_K.

LLM Name	Yi 9B 200K GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/Yi-9B-200K-GGUF
Model Name	Yi-9B-200K-GGUF
Model Creator	01-ai
Base Model(s)	Yi 9B 200K 01-ai/Yi-9B-200K
Model Size	9b
Required VRAM	3.4 GB
Updated	2026-06-30
Maintainer	MaziyarPanahi
Model Type	mistral
Model Files	4.8 GB 3.4 GB 4.7 GB 4.3 GB 3.9 GB 5.3 GB 5.1 GB 6.3 GB 6.1 GB 7.2 GB 9.4 GB 17.7 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel

Rank the Yi 9B 200K GGUF 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 Yi 9B 200K GGUF

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Yi 1.5 9B Chat GGUF	0K / 3.4 GB	568	4
...e Dolphin 2.9.1 Yi 1.5 9b GGUF	0K / 5.3 GB	22	0
...n Dolphin 2.9.1 Yi 1.5 9b GGUF	0K / 5.3 GB	41	0
...s Dolphin 2.9.1 Yi 1.5 9b GGUF	0K / 5.3 GB	16	0
Yi Super 9B GGUF	0K / 3.4 GB	488	3
Yi 9B GGUF	0K / 3.4 GB	370	15
Yi 9B GGUF	0K / 3.4 GB	193	2
NeuralPipe 9B Merged GGUF	0K / 3.8 GB	139	2
NeuralQuant 9B GGUF	0K / 3.8 GB	125	1
...a 2 9B Chinese Chat Uncensored	0K / 18.6 GB	874	30

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Yi-9B-200K-GGUF.