What are the hardware requirements for Mistral 15B Instruct V0.1?

Mistral 15B Instruct V0.1 requires approximately 28.4 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 15B Instruct V0.1 and how large is it?

Mistral 15B Instruct V0.1 is developed by cloudyu, a model with 15b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Mistral 15B Instruct V0.1 perform on standard benchmarks?

Mistral 15B Instruct V0.1 has the following published scores: MMLU 59.82. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral 15B Instruct V0.1 by cloudyu — VRAM 28.4GB, 32K context

Name: Mistral 15B Instruct V0.1
Author: cloudyu

Mistral 15B Instruct V0.1 is an open-source language model by cloudyu. Features: 15b LLM, VRAM: 28.4GB, Context: 32K, License: cc-by-4.0, Instruction-Based, LLM Explorer Score: 0.13, Arc: 58.5, HellaSwag: 81.7, MMLU: 59.8, GSM8K: 38.6.

Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cloudyu/mistral_15B_instruct_v0.1

Mistral 15B Instruct V0.1 Parameters and Internals

Model Type

SFT

Input Output

Input Format:

{instruction} {inputs} {output}

LLM Name	Mistral 15B Instruct V0.1
Repository 🤗	https://huggingface.co/cloudyu/mistral_15B_instruct_v0.1
Model Size	15b
Required VRAM	28.4 GB
Updated	2026-08-07
Maintainer	cloudyu
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 4.9 GB: 3-of-6 4.9 GB: 4-of-6 5.0 GB: 5-of-6 3.7 GB: 6-of-6
Model Architecture	MistralForCausalLM
License	cc-by-4.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32001
Torch Data Type	bfloat16

Rank the Mistral 15B Instruct V0.1 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 15B Instruct V0.1

Best Alternatives	Context / RAM	Downloads	Likes
Sol Reaver 15B Instruct	64K / 29.9 GB	16	15
Nemotron 15B Thinker Instruct	64K / 29.9 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than cloudyu/mistral_15B_instruct_v0.1.