What are the hardware requirements for Mistral 11B Instruct V0.1?

Mistral 11B Instruct V0.1 requires approximately 42.9 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 11B Instruct V0.1 and how large is it?

Mistral 11B Instruct V0.1 is developed by cloudyu, a model with 11b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Mistral 11B Instruct V0.1 perform on standard benchmarks?

Mistral 11B Instruct V0.1 has the following published scores: MMLU 58.93. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral 11B Instruct V0.1 by cloudyu — VRAM 42.9GB, 32K context

Name: Mistral 11B Instruct V0.1
Author: cloudyu

Mistral 11B Instruct V0.1 is an open-source language model by cloudyu. Features: 11b LLM, VRAM: 42.9GB, Context: 32K, License: cc-by-4.0, Instruction-Based, LLM Explorer Score: 0.14, Arc: 53.8, HellaSwag: 74.6, MMLU: 58.9, GSM8K: 28.5.

Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cloudyu/mistral_11B_instruct_v0.1

Mistral 11B Instruct V0.1 Parameters and Internals

Model Type

text generation

Training Details

Methodology:

SFT

Model Architecture:

48 layers based on Mistral architecture

Input Output

Output Format:

{instruction} {inputs} {output}

LLM Name	Mistral 11B Instruct V0.1
Repository 🤗	https://huggingface.co/cloudyu/mistral_11B_instruct_v0.1
Model Size	11b
Required VRAM	42.9 GB
Updated	2026-08-05
Maintainer	cloudyu
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-9 4.9 GB: 2-of-9 5.0 GB: 3-of-9 5.0 GB: 4-of-9 4.8 GB: 5-of-9 5.0 GB: 6-of-9 5.0 GB: 7-of-9 4.8 GB: 8-of-9 3.4 GB: 9-of-9
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	32000
Torch Data Type	float32

Rank the Mistral 11B 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 11B Instruct V0.1

Best Alternatives	Context / RAM	Downloads	Likes
...elik V2.3 Instruct MedIT Merge	32K / 22.3 GB	1592	2
...elik V2.3 Instruct Llama Prune	32K / 15.4 GB	1387	0
...Alpha Mistral 7B Instruct V0.1	32K / 14.5 GB	5	0
...Mistral 7B Instruct V0.2 Slerp	32K / 14.4 GB	4	1
...Mistral 7B Instruct V0.2 Slerp	32K / 14.4 GB	6	2
Mistral 11B Instruct V0.2	32K / 21.4 GB	6	3
... 11B V2.2 Instruct Quanto 8bit	32K / 12 GB	209	4
Bielik 11B V2.2 Instruct W8A8	32K / 11.5 GB	172	3
Bielik 11B V2.2 Instruct FP8	32K / 11.4 GB	53	3
... 11B V2.2 Instruct EXL2 4.5bit	32K / 6.5 GB	391	3

Note: green Score (e.g. "73.2") means that the model is better than cloudyu/mistral_11B_instruct_v0.1.