What are the hardware requirements for Mistral3InstructContinuedFine?

Mistral3InstructContinuedFine requires approximately 14.5 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 Mistral3InstructContinuedFine and how large is it?

Mistral3InstructContinuedFine is developed by AlSamCur123, a model with 7.2b 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 Mistral3InstructContinuedFine?

Mistral3InstructContinuedFine is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral3InstructContinuedFine by AlSamCur123 — VRAM 14.5GB, 32K context

Name: Mistral3InstructContinuedFine
Author: AlSamCur123

Mistral3InstructContinuedFine is an open-source language model by AlSamCur123. Features: 7.2b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.16.

Base model:alsamcur123/mistral... Base model:finetune:alsamcur12... Conversational En Endpoints compatible Mistral Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/AlSamCur123/Mistral3InstructContinuedFine

Mistral3InstructContinuedFine Parameters and Internals

LLM Name	Mistral3InstructContinuedFine
Repository 🤗	https://huggingface.co/AlSamCur123/Mistral3InstructContinuedFine
Base Model(s)	MistralContinuedFine AlSamCur123/MistralContinuedFine
Model Size	7.2b
Required VRAM	14.5 GB
Updated	2026-08-25
Maintainer	AlSamCur123
Model Type	mistral
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	LlamaTokenizer
Padding Token	[control_768]
Vocabulary Size	32768
Torch Data Type	float16

Rank the Mistral3InstructContinuedFine 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 Mistral3InstructContinuedFine

Best Alternatives	Context / RAM	Downloads	Likes
...Web AI HumanAI 012 INSTRUCT XA	512K / 14.4 GB	9	0
...Web AI HumanAI 012 INSTRUCT IA	512K / 14.4 GB	8	0
...Web AI HumanAI 011 INSTRUCT ML	512K / 14.4 GB	7	0
14	512K / 14.5 GB	319	0
SpydazWeb HumanAI M2	512K / GB	38	0
...dazWeb AI HumanAI 011 INSTRUCT	512K / 14.4 GB	14	1
SpydazWeb AI HumanAI 009 CHAT	512K / 14.4 GB	6	0
SpydazWeb AI HumanAI 007	512K / 14.4 GB	5	0
SpydazWebAI Human AGI 001	512K / 14.4 GB	6	1
...Web AI HumanAI 012 INSTRUCT MX	512K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than AlSamCur123/Mistral3InstructContinuedFine.