What are the hardware requirements for Mistral V0.3 13B 32K Base V1?

Mistral V0.3 13B 32K Base V1 requires approximately 25.2 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 V0.3 13B 32K Base V1 and how large is it?

Mistral V0.3 13B 32K Base V1 is developed by win10, a model with 13b parameters. 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 V0.3 13B 32K Base V1?

Mistral V0.3 13B 32K Base V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral V0.3 13B 32K Base V1 by win10 — VRAM 25.2GB, 32K context

Name: Mistral V0.3 13B 32K Base V1
Author: win10

Mistral V0.3 13B 32K Base V1 is an open-source language model by win10. Features: 13b LLM, VRAM: 25.2GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.13.

Merged Model Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow Win10/breeze-13b-32k-base-v1 0 Win10/mistral-v0.3-13b-32k-bas...

Model Card on HF 🤗: https://huggingface.co/win10/Mistral-v0.3-13B-32k-Base-v1

Mistral V0.3 13B 32K Base V1 Parameters and Internals

LLM Name	Mistral V0.3 13B 32K Base V1
Repository 🤗	https://huggingface.co/win10/Mistral-v0.3-13B-32k-Base-v1
Merged Model	Yes
Model Size	13b
Required VRAM	25.2 GB
Updated	2026-04-27
Maintainer	win10
Model Type	mistral
Model Files	1.0 GB: 1-of-26 0.9 GB: 2-of-26 1.0 GB: 3-of-26 1.0 GB: 4-of-26 1.0 GB: 5-of-26 0.9 GB: 6-of-26 1.0 GB: 7-of-26 1.0 GB: 8-of-26 1.0 GB: 9-of-26 1.0 GB: 10-of-26 1.0 GB: 11-of-26 1.0 GB: 12-of-26 1.0 GB: 13-of-26 1.0 GB: 14-of-26 1.0 GB: 15-of-26 1.0 GB: 16-of-26 1.0 GB: 17-of-26 0.9 GB: 18-of-26 1.0 GB: 19-of-26 1.0 GB: 20-of-26 1.0 GB: 21-of-26 1.0 GB: 22-of-26 1.0 GB: 23-of-26 1.0 GB: 24-of-26 1.0 GB: 25-of-26 0.5 GB: 26-of-26 0.5 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 0.9 GB 0.9 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB 1.0 GB
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.2
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the Mistral V0.3 13B 32K Base V1 capabilities

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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 V0.3 13B 32K Base V1

Best Alternatives	Context / RAM	Downloads	Likes
LuminRP 13B 128K V0.5	128K / 25.1 GB	9	2
Breeze 13B 32K Instruct V1.0	32K / 25.6 GB	8	0
Power WizardLM 2 13B	32K / 25 GB	16	2
Breeze 13B 32K Base V1.0	32K / 25.6 GB	7	0
Pandora 13B V1	32K / 24.9 GB	95	2
Pandora V1 13B	32K / 24.9 GB	5	3
BigMistral 13B GLUED	32K / 26.6 GB	15	1
BigMistral 13B	32K / 26.7 GB	1	2
...stral 13B DARE Blended FAILURE	32K / 26.7 GB	6	0
...stral 13B DARE Blended FAILURE	32K / 26.7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than win10/Mistral-v0.3-13B-32k-Base-v1.