What are the hardware requirements for Smartyplats 7B V2 GPTQ?

Smartyplats 7B V2 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 Smartyplats 7B V2 GPTQ and how large is it?

Smartyplats 7B V2 GPTQ is developed by TheBloke, 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 Smartyplats 7B V2 GPTQ?

Smartyplats 7B V2 GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Smartyplats 7B V2 GPTQ by TheBloke — VRAM 4.2GB, 32K context

Name: Smartyplats 7B V2 GPTQ
Author: TheBloke

Smartyplats 7B V2 GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

4-bit Base model:quantized:vihangd/s... Base model:vihangd/smartyplats... Gptq Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/smartyplats-7B-v2-GPTQ

Smartyplats 7B V2 GPTQ Parameters and Internals

Model Type

mistral

Training Details

Methodology:

Experimental finetune of Mistrel 7b with QLoRA

Input Output

Input Format:

Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:

LLM Name	Smartyplats 7B V2 GPTQ
Repository 🤗	https://huggingface.co/TheBloke/smartyplats-7B-v2-GPTQ
Model Name	Smartyplats 7B v2
Model Creator	Vihang D
Base Model(s)	Smartyplats 7B V2 vihangd/smartyplats-7b-v2
Model Size	7b
Required VRAM	4.2 GB
Updated	2026-06-29
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	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Smartyplats 7B V2 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 Smartyplats 7B V2 GPTQ

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
...istral 7B Pruned50 GPTQ Marlin	32K / 4 GB	5	0
Mistral 7B Instruct V0.2 GPTQ	32K / 4.2 GB	6743	56
Mistral 7B Unsloth Gptq 8bit	32K / 7.7 GB	7	0
Cosmosage V2	32K / 4.2 GB	8	4
...phyr 7B Beta Assistant V1 Gptq	32K / 4.2 GB	2	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/smartyplats-7B-v2-GPTQ.