What are the hardware requirements for Openchat 3.5 1210 Seraph Slerp GPTQ?

Openchat 3.5 1210 Seraph Slerp GPTQ requires approximately 4.2 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 Openchat 3.5 1210 Seraph Slerp GPTQ and how large is it?

Openchat 3.5 1210 Seraph Slerp GPTQ is developed by TheBloke, a model with 7.2b 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 Openchat 3.5 1210 Seraph Slerp GPTQ?

Openchat 3.5 1210 Seraph Slerp GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Openchat 3.5 1210 Seraph Slerp GPTQ by TheBloke — VRAM 4.2GB, 32K context

Name: Openchat 3.5 1210 Seraph Slerp GPTQ
Author: TheBloke

Openchat 3.5 1210 Seraph Slerp GPTQ is an open-source language model by TheBloke. Features: 7.2b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

4-bit Base model:quantized:weyaxi/op... Base model:weyaxi/openchat-3.5... Gptq Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/openchat-3.5-1210-Seraph-Slerp-GPTQ

Openchat 3.5 1210 Seraph Slerp GPTQ Parameters and Internals

Model Type

mistral

LLM Name	Openchat 3.5 1210 Seraph Slerp GPTQ
Repository 🤗	https://huggingface.co/TheBloke/openchat-3.5-1210-Seraph-Slerp-GPTQ
Model Name	OpenChat 3.5 1210 Seraph SLERP
Model Creator	Yağız Çalık
Base Model(s)	Weyaxi/openchat-3.5-1210-Seraph-Slerp Weyaxi/openchat-3.5-1210-Seraph-Slerp
Model Size	7.2b
Required VRAM	4.2 GB
Updated	2026-08-08
Maintainer	TheBloke
Model Type	mistral
Model Files	4.2 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32002
Torch Data Type	bfloat16

Rank the Openchat 3.5 1210 Seraph Slerp GPTQ 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 Openchat 3.5 1210 Seraph Slerp GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Multi Verse Model GPTQ	32K / 4.2 GB	111	1
Garrulus GPTQ	32K / 4.2 GB	28	3
HamSter 0.1 GPTQ	32K / 4.2 GB	7	2
Phoenix GPTQ	32K / 4.2 GB	12	1
Mistral Ft Optimized 1227 GPTQ	32K / 4.2 GB	19	2
...h Openchat 3.5 1210 Slerp GPTQ	32K / 4.2 GB	6	1
Metis 0.5 GPTQ	32K / 4.2 GB	6	1
XDAN L1 Chat RL V1 GPTQ	32K / 4.2 GB	15	3
Apricot Wildflower 20 GPTQ	32K / 4.2 GB	12	1
SAM GPTQ	32K / 4.2 GB	19	0

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/openchat-3.5-1210-Seraph-Slerp-GPTQ.