What are the hardware requirements for Mistral 11B Instruct V0.2 Mistral 7B Instruct V0.2 Slerp?

Mistral 11B Instruct V0.2 Mistral 7B Instruct V0.2 Slerp requires approximately 14.4 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.

Where can I download or evaluate Mistral 11B Instruct V0.2 Mistral 7B Instruct V0.2 Slerp?

Mistral 11B Instruct V0.2 Mistral 7B Instruct V0.2 Slerp is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 11B Instruct V0.2 Mistral 7B Instruct V0.2 Slerp by MaziyarPanahi — VRAM 14.4GB, 32K context

Name: Mistral 11B Instruct V0.2 Mistral 7B Instruct V0.2 Slerp
Author: MaziyarPanahi

Mistral 11B Instruct V0.2 Mistral 7B Instruct V0.2 Slerp is an open-source language model by MaziyarPanahi. Features: 11b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.1.

Merged Model 7b Conversational Endpoints compatible Instruct Mistral Mistralai/mistral-7b-instruct-... Perlthoughts/mistral-11b-instr... Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Mistral-11B-Instruct-v0.2-Mistral-7B-Instruct-v0.2-slerp

Mistral 11B Instruct V0.2 Mistral 7B Instruct V0.2 Slerp Parameters and Internals

Model Type

merge, slerp

Additional Notes

The model is a merge of two models: mistralai/Mistral-7B-Instruct-v0.2 and perlthoughts/Mistral-11B-Instruct-v0.2 using a slerp merge technique.

LLM Name	Mistral 11B Instruct V0.2 Mistral 7B Instruct V0.2 Slerp
Repository 🤗	https://huggingface.co/MaziyarPanahi/Mistral-11B-Instruct-v0.2-Mistral-7B-Instruct-v0.2-slerp
Merged Model	Yes
Model Size	11b
Required VRAM	14.4 GB
Updated	2026-08-05
Maintainer	MaziyarPanahi
Model Type	mistral
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mistral 11B Instruct V0.2 Mistral 7B Instruct V0.2 Slerp 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

Quantized Models of the Mistral 11B Instruct V0.2 Mistral 7B Instruct V0.2 Slerp

Model	Likes	Downloads	VRAM
...al 7B Instruct V0.2 Slerp GGUF	1	272	2 GB

Best Alternatives to Mistral 11B Instruct V0.2 Mistral 7B Instruct V0.2 Slerp

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
Mistral 11B Instruct V0.1	32K / 42.9 GB	169	2
...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 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 MaziyarPanahi/Mistral-11B-Instruct-v0.2-Mistral-7B-Instruct-v0.2-slerp.