What are the hardware requirements for Yi 34B 200K GGUF?

Yi 34B 200K GGUF requires approximately 14.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yi 34B 200K GGUF and how large is it?

Yi 34B 200K GGUF is developed by TheBloke, a model with 34b 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 34B 200K GGUF?

Yi 34B 200K GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Yi 34B 200K GGUF by TheBloke — VRAM 14.6GB

Name: Yi 34B 200K GGUF
Author: TheBloke

Yi 34B 200K GGUF is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 14.6GB, License: other, Quantized, LLM Explorer Score: 0.1.

Base model:01-ai/yi-34b-200k Base model:quantized:01-ai/yi-... Gguf Quantized Region:us Yi

Model Card on HF 🤗: https://huggingface.co/TheBloke/Yi-34B-200K-GGUF

Yi 34B 200K GGUF Parameters and Internals

Model Type

Additional Notes

Yi models are trained from scratch with bilingual support (English/Chinese). Yi-34B-200K offers extended context length of 200k tokens. Series includes size variations 6B and 34B.

Supported Languages

languages (English, Chinese), proficiency (Bilingual)

LLM Name	Yi 34B 200K GGUF
Repository 🤗	https://huggingface.co/TheBloke/Yi-34B-200K-GGUF
Model Name	Yi 34B 200K
Model Creator	01-ai
Base Model(s)	Yi 34B 200K 01-ai/Yi-34B-200K
Model Size	34b
Required VRAM	14.6 GB
Updated	2026-08-04
Maintainer	TheBloke
Model Type	yi
Model Files	14.6 GB 18.1 GB 16.6 GB 15.0 GB 19.5 GB 20.7 GB 19.5 GB 23.7 GB 24.3 GB 23.7 GB 28.2 GB 36.5 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	other

Rank the Yi 34B 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

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yi-34B-200K-GGUF.