What are the hardware requirements for DarkSapling V2.0 7B Q5 K S GGUF IMatrix?

DarkSapling V2.0 7B Q5 K S GGUF IMatrix requires approximately 5 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 DarkSapling V2.0 7B Q5 K S GGUF IMatrix and how large is it?

DarkSapling V2.0 7B Q5 K S GGUF IMatrix is developed by Clevyby, 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 DarkSapling V2.0 7B Q5 K S GGUF IMatrix?

DarkSapling V2.0 7B Q5 K S GGUF IMatrix is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DarkSapling V2.0 7B Q5 K S GGUF IMatrix by Clevyby — VRAM 5GB, 32K context

Name: DarkSapling V2.0 7B Q5 K S GGUF IMatrix
Rating: 3 (2 reviews)
Author: Clevyby

DarkSapling V2.0 7B Q5 K S GGUF IMatrix is an open-source language model by Clevyby. Features: 7b LLM, VRAM: 5GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

Endpoints compatible Gguf Merge Mistral Q5 Quantized Region:us Roleplay Sillytavern

Model Card on HF 🤗: https://huggingface.co/Clevyby/DarkSapling-v2.0-7B-Q5_K_S-GGUF-iMatrix

DarkSapling V2.0 7B Q5 K S GGUF IMatrix Parameters and Internals

Model Type

text-generation

Additional Notes

This repo hosts only a Q5_K_S iMatrix of Dark Sapling v2.0 7B. GGUF quant is from Lewdiculous/DarkSapling-7B-v2.0-GGUF-IQ-Imatrix. The additional files in this GGUF repo is for personal usage using Text Gen Webui with llamacpp_hf.

LLM Name	DarkSapling V2.0 7B Q5 K S GGUF IMatrix
Repository 🤗	https://huggingface.co/Clevyby/DarkSapling-v2.0-7B-Q5_K_S-GGUF-iMatrix
Model Size	7b
Required VRAM	5 GB
Updated	2026-08-08
Maintainer	Clevyby
Model Type	mistral
Model Files	5.0 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q5\|q5_k
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32002
Torch Data Type	bfloat16

Rank the DarkSapling V2.0 7B Q5 K S GGUF IMatrix 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 DarkSapling V2.0 7B Q5 K S GGUF IMatrix

Best Alternatives	Context / RAM	Downloads	Likes
MegaBeam Mistral 7B 300K Gguf	282K / 5 GB	35	3
MegaBeam Mistral 7B 300K Gguf	282K / 5 GB	34	3
Backrooms Mistral 7B 10e	32K / 14.5 GB	128	0
Mistral 7B Instruct V0.2.gguf	32K / 14.5 GB	17	3
Mistral 7B Instruct V0.2 GGUF	32K / 4.4 GB	26	2
...andle Mistral 7B Instruct V0.2	32K / 14.4 GB	56	0
...andle Dolphin 2.2.1 Mistral 7B	32K / 14.4 GB	228	0
Boptruth Agatha 7B	32K / 14.4 GB	129	0
Mahou 1.2a Mistral 7B	32K / 14.4 GB	33	7
Tamil Mistral 7B Instruct V0.1	32K / 14.8 GB	350	14

Note: green Score (e.g. "73.2") means that the model is better than Clevyby/DarkSapling-v2.0-7B-Q5_K_S-GGUF-iMatrix.