What are the hardware requirements for Mistral 7B 4bit 1C MLX?

Mistral 7B 4bit 1C MLX requires approximately 4.1 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 7B 4bit 1C MLX and how large is it?

Mistral 7B 4bit 1C MLX is developed by Sanorian, a model with 7b 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 7B 4bit 1C MLX?

Mistral 7B 4bit 1C MLX is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 7B 4bit 1C MLX by Sanorian — VRAM 4.1GB, 32K context

Name: Mistral 7B 4bit 1C MLX
Author: Sanorian

Mistral 7B 4bit 1C MLX is an open-source language model by Sanorian. Features: 7b LLM, VRAM: 4.1GB, Context: 32K, Quantized, Instruction-Based.

4-bit 4bit Base model:mistralai/mistral-7... Base model:quantized:mistralai... Conversational Dataset:kavlab/spider-1c Dataset:leongl/1c github En Instruct Mistral Mlx Quantized Region:us Ru Safetensors

Model Card on HF 🤗: https://huggingface.co/Sanorian/Mistral-7B-4bit-1C-MLX

Mistral 7B 4bit 1C MLX Parameters and Internals

LLM Name	Mistral 7B 4bit 1C MLX
Repository 🤗	https://huggingface.co/Sanorian/Mistral-7B-4bit-1C-MLX
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.3 mistralai/Mistral-7B-Instruct-v0.3
Model Size	7b
Required VRAM	4.1 GB
Updated	2026-09-13
Maintainer	Sanorian
Model Type	mistral
Instruction-Based	Yes
Model Files	4.1 GB
Supported Languages	en ru
Quantization Type	4bit
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.42.0.dev0
Tokenizer Class	TokenizersBackend
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the Mistral 7B 4bit 1C MLX 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 7B 4bit 1C MLX

Best Alternatives	Context / RAM	Downloads	Likes
...aude Sonnet Mistral 7B It V0.3	32K / 14.5 GB	7	2
Mistral 7B Instruct V0.2 Fp16	32K / 14.4 GB	26	0
Mistral 7B Instruct V0.2 4bit	32K / 4.3 GB	79	1
...tral 7B Instruct V0.3 Bnb 4bit	32K / 4.1 GB	34633	42
Mistral 7B Instruct V0.2 8bit	32K / 7.6 GB	5	1
...tral 7B Instruct V0.2 Bnb 4bit	32K / 4.1 GB	7160	35
Mixtral V0.3 Full 16bit	32K / 14.5 GB	5	0
... 7B Instruct V0.3ContinuedFine	32K / 14.5 GB	9	0
Mistral 7B Instruct V0.3 4bit	32K / 4.1 GB	12492	10
...eMistral 7B Instruct Ead 16bit	32K / 14.5 GB	38	0

Note: green Score (e.g. "73.2") means that the model is better than Sanorian/Mistral-7B-4bit-1C-MLX.