What are the hardware requirements for Mergekit Passthrough Zpfenfn GGUF?

Mergekit Passthrough Zpfenfn GGUF requires approximately 8.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mergekit Passthrough Zpfenfn GGUF and how large is it?

Mergekit Passthrough Zpfenfn GGUF is developed by MaziyarPanahi, 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 Mergekit Passthrough Zpfenfn GGUF?

Mergekit Passthrough Zpfenfn GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mergekit Passthrough Zpfenfn GGUF by MaziyarPanahi — VRAM 8.7GB

Name: Mergekit Passthrough Zpfenfn GGUF
Author: MaziyarPanahi

Mergekit Passthrough Zpfenfn GGUF is an open-source language model by MaziyarPanahi. Features: 34b LLM, VRAM: 8.7GB, Quantized, LLM Explorer Score: 0.13.

2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:cognitivecomputatio... Base model:mergekit-community/... Base model:quantized:mergekit-... Conversational Endpoints compatible Gguf Llama Merge Mergekit Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/mergekit-passthrough-zpfenfn-GGUF

Mergekit Passthrough Zpfenfn GGUF Parameters and Internals

Model Type

text-generation

LLM Name	Mergekit Passthrough Zpfenfn GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/mergekit-passthrough-zpfenfn-GGUF
Model Name	mergekit-passthrough-zpfenfn-GGUF
Model Creator	mergekit-community
Base Model(s)	mergekit-community/mergekit-passthrough-zpfenfn mergekit-community/mergekit-passthrough-zpfenfn
Model Size	34b
Required VRAM	8.7 GB
Updated	2026-06-30
Maintainer	MaziyarPanahi
Model Type	mistral
Model Files	8.7 GB 12.3 GB 11.3 GB 10.2 GB 14.0 GB 13.3 GB 16.4 GB 16.0 GB 19.1 GB 24.7 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel

Rank the Mergekit Passthrough Zpfenfn 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 Mergekit Passthrough Zpfenfn GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Mergekit Slerp Fecxcxs GGUF	0K / 8.4 GB	8	0
...4B 200K DARE Megamerge V8 GGUF	0K / 9.3 GB	3504	14
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 MaziyarPanahi/mergekit-passthrough-zpfenfn-GGUF.