What are the hardware requirements for Yi 34B 200K DARE Megamerge V8 GGUF?

Yi 34B 200K DARE Megamerge V8 GGUF requires approximately 9.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yi 34B 200K DARE Megamerge V8 GGUF and how large is it?

Yi 34B 200K DARE Megamerge V8 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 DARE Megamerge V8 GGUF?

Yi 34B 200K DARE Megamerge V8 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 DARE Megamerge V8 GGUF by TheBloke — VRAM 9.3GB

Name: Yi 34B 200K DARE Megamerge V8 GGUF
Author: TheBloke

Yi 34B 200K DARE Megamerge V8 GGUF is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 9.3GB, License: other, Quantized, LLM Explorer Score: 0.12.

Arxiv:2306.01708 Arxiv:2311.03099 Base model:brucethemoose/yi-34... Base model:quantized:brucethem... En Gguf Merge Mergekit Quantized Region:us Yi

Model Card on HF 🤗: https://huggingface.co/TheBloke/Yi-34B-200K-DARE-megamerge-v8-GGUF

Yi 34B 200K DARE Megamerge V8 GGUF Parameters and Internals

Model Type

Additional Notes

It includes a unique merging method for better context performance without finetuning. Considerations for running this model include special quantization methods and context limitations.

Supported Languages

en (English)

Input Output

Input Format:

SYSTEM: {system_message} USER: {prompt} ASSISTANT:

Accepted Modalities:

text

Output Format:

text

LLM Name	Yi 34B 200K DARE Megamerge V8 GGUF
Repository 🤗	https://huggingface.co/TheBloke/Yi-34B-200K-DARE-megamerge-v8-GGUF
Model Name	Yi 34B 200K DARE MegaMerge V8
Model Creator	brucethemoose
Base Model(s)	Yi 34B 200K DARE Megamerge V8 brucethemoose/Yi-34B-200K-DARE-megamerge-v8
Model Size	34b
Required VRAM	9.3 GB
Updated	2026-08-06
Maintainer	TheBloke
Model Type	yi
Model Files	10.3 GB 9.3 GB 12.8 GB 11.8 GB 18.1 GB 16.7 GB 15.0 GB 19.5 GB 20.7 GB 19.6 GB 23.7 GB 24.3 GB 23.7 GB 28.2 GB 36.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	other

Rank the Yi 34B 200K DARE Megamerge V8 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 34B 200K DARE Megamerge V8 GGUF

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Mergekit Slerp Fecxcxs GGUF	0K / 8.4 GB	8	0
...gekit Passthrough Zpfenfn GGUF	0K / 8.7 GB	11	0
Yi 1.5 34B Chat GGUF	0K / 12.8 GB	49	5
...ous Capybara Limarpv3 34B GGUF	0K / 14.6 GB	1038	29
Nous Hermes 2 Yi 34B GGUF	0K / 14.6 GB	1336	40
...y 34B 200K Chat Evaluator GGUF	0K / 12.8 GB	1054	11
34B Beta GGUF	0K / 12.8 GB	146	4
StructLM 34B GGUF	0K / 12.5 GB	196	2
CodeLlama 34B Python Hf GGUF	0K / 12.5 GB	514	1
CodeLlama 34B Instruct Hf GGUF	0K / 12.5 GB	412	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yi-34B-200K-DARE-megamerge-v8-GGUF.