What are the hardware requirements for Mistral 7B1.0 GGUF?

Mistral 7B1.0 GGUF requires approximately 5.1 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 Mistral 7B1.0 GGUF and how large is it?

Mistral 7B1.0 GGUF is developed by kesavan1994. 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 Mistral 7B1.0 GGUF?

Mistral 7B1.0 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 7B1.0 GGUF by kesavan1994 — VRAM 5.1GB, 32K context

Name: Mistral 7B1.0 GGUF
Author: kesavan1994

Mistral 7B1.0 GGUF is an open-source language model by kesavan1994. Features: LLM, VRAM: 5.1GB, Context: 32K, Quantized, LLM Explorer Score: 0.11.

Endpoints compatible Gguf Mistral Q5 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/kesavan1994/Mistral-7B1.0-GGUF

Mistral 7B1.0 GGUF Parameters and Internals

LLM Name	Mistral 7B1.0 GGUF
Repository 🤗	https://huggingface.co/kesavan1994/Mistral-7B1.0-GGUF
Required VRAM	5.1 GB
Updated	2026-07-25
Maintainer	kesavan1994
Model Type	mistral
Model Files	5.1 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q5\|q5_k
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0.dev0
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mistral 7B1.0 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 Mistral 7B1.0 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...istral Nemo Instruct 2407 GGUF	1000K / 4.8 GB	1139	66
...istral Nemo Instruct 2407 GGUF	1000K / 4.8 GB	1293	11
Devstral Small 2505 GGUF	128K / 0.9 GB	2866	117
...dle Snorkel Mistral PairRM DPO	32K / 14.4 GB	181	0
...istral C64Wizard Instruct GGUF	32K / 4.4 GB	19	0
Candle MistralTrix V1	32K / 17.9 GB	420	0
Equall Saul Instruct V1	32K / 5.1 GB	30	0
AI G Expander V5 GGUF	32K / 4.4 GB	11	0
Candle Tiny Mistral	32K / 0.4 GB	279	0
MHENN4 GGUF	32K / 4.4 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than kesavan1994/Mistral-7B1.0-GGUF.