What are the hardware requirements for OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin?

OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin requires approximately 4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin and how large is it?

OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin is developed by ramitpahwa13, a model with 7b 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 OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin?

OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin by ramitpahwa13 — VRAM 4GB, 32K context

Name: OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin
Author: ramitpahwa13

OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin is an open-source language model by ramitpahwa13. Features: 7b LLM, VRAM: 4GB, Context: 32K, Quantized, LLM Explorer Score: 0.13.

4-bit Conversational Endpoints compatible Gptq Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ramitpahwa13/OpenHermes-2.5-Mistral-7B-Pruned50-GPTQ-Marlin

OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin Parameters and Internals

LLM Name	OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin
Repository 🤗	https://huggingface.co/ramitpahwa13/OpenHermes-2.5-Mistral-7B-Pruned50-GPTQ-Marlin
Base Model(s)	neuralmagic/OpenHermes-2.5-Mistral-7B-pruned50-quant-ds neuralmagic/OpenHermes-2.5-Mistral-7B-pruned50-quant-ds
Model Size	7b
Required VRAM	4 GB
Updated	2026-08-07
Maintainer	ramitpahwa13
Model Type	mistral
Model Files	4.0 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.42.3
Tokenizer Class	LlamaTokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	32002
Torch Data Type	float16

Rank the OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin 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 OpenHermes 2.5 Mistral 7B Pruned50 GPTQ Marlin

Best Alternatives	Context / RAM	Downloads	Likes
...enHermes 2.5 Mistral 7B Marlin	32K / 4.1 GB	6	2
Zephyr 7B Beta Marlin	32K / 4.1 GB	16	0
Mistral 7B Instruct V0.3 GPTQ	32K / 4.2 GB	113881	1
...ral 7B Instruct V0.3 GPTQ 4bit	32K / 4.2 GB	2946	18
...ral 7B Instruct V0.3 GPTQ 4bit	32K / 4.2 GB	2658	25
Mistral 7B Instruct V0.2 GPTQ	32K / 4.2 GB	6743	56
Cosmosage V2	32K / 4.2 GB	8	4
Mistral 7B Unsloth Gptq 8bit	32K / 7.7 GB	7	0
...phyr 7B Beta Assistant V1 Gptq	32K / 4.2 GB	2	1
...l Neural Chat 7B V3.8 Bit Gptq	32K / 7.7 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than ramitpahwa13/OpenHermes-2.5-Mistral-7B-Pruned50-GPTQ-Marlin.