What are the hardware requirements for Mistral 7B Instruct V0.2 GGUF?

Mistral 7B Instruct V0.2 GGUF requires approximately 4.4 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 Mistral 7B Instruct V0.2 GGUF and how large is it?

Mistral 7B Instruct V0.2 GGUF is developed by alokabhishek, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Mistral 7B Instruct V0.2 GGUF perform on standard benchmarks?

Mistral 7B Instruct V0.2 GGUF has the following published scores: MMLU 59.1, LMSYS ELO 1072. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral 7B Instruct V0.2 GGUF by alokabhishek — VRAM 4.4GB, 32K context

Name: Mistral 7B Instruct V0.2 GGUF
Author: alokabhishek

Mistral 7B Instruct V0.2 GGUF is an open-source language model by alokabhishek. Features: 7b LLM, VRAM: 4.4GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.24, ELO: 1072, Arc: 56.7, HellaSwag: 80.8, MMLU: 59.1, GSM8K: 37.6.

4bit Conversational Endpoints compatible Gguf Instruct Mistral Mistral-7b Pytorch Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/alokabhishek/Mistral-7B-Instruct-v0.2-GGUF

Mistral 7B Instruct V0.2 GGUF Benchmarks

LMSys ELO 1072 vs 1272 (so35) -15.7%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Mistral 7B Instruct V0.2 GGUF Parameters and Internals

Model Type

text generation

Use Cases

Applications:

text-generation

LLM Name	Mistral 7B Instruct V0.2 GGUF
Repository 🤗	https://huggingface.co/alokabhishek/Mistral-7B-Instruct-v0.2-GGUF
Base Model(s)	malhajar/Mistral-7B-Instruct-v0.2-turkish malhajar/Mistral-7B-Instruct-v0.2-turkish
Model Size	7b
Required VRAM	4.4 GB
Updated	2026-07-20
Maintainer	alokabhishek
Model Type	mistral
Instruction-Based	Yes
Model Files	4.4 GB 5.1 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mistral 7B Instruct V0.2 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 7B Instruct V0.2 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B Instruct V0.2.gguf	32K / 14.5 GB	17	3
...andle Mistral 7B Instruct V0.2	32K / 14.4 GB	200	0
Tamil Mistral 7B Instruct V0.1	32K / 14.8 GB	350	14
Mistral V0.3 7B Cybersecurity	32K / 14.5 GB	52	1
BioMistralMerged	32K / 14.4 GB	54	2
...andle Mistral 7B Instruct V0.1	32K / 14.4 GB	1207	3
Mistral 7B Instruct V0.3 GGUF	32K / 2.7 GB	189	1
Mistral 7B Instruct V0.3 GGUF	32K / 2.7 GB	156	1
...stral 7B V0.3 Chinese Chat F16	32K / 14.5 GB	51	1
...tral 7B V0.3 Chinese Chat 4bit	32K / 4.1 GB	45	2

Note: green Score (e.g. "73.2") means that the model is better than alokabhishek/Mistral-7B-Instruct-v0.2-GGUF.