What are the hardware requirements for Mistral 7B Instruct 4bit?

Mistral 7B Instruct 4bit requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral 7B Instruct 4bit and how large is it?

Mistral 7B Instruct 4bit is developed by Animesh001, 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 Instruct 4bit?

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

Mistral 7B Instruct 4bit by Animesh001 — VRAM 0.2GB

Name: Mistral 7B Instruct 4bit
Author: Animesh001

Mistral 7B Instruct 4bit is an open-source language model by Animesh001. Features: 7b LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

4-bit 4bit Base model:animesh001/un-mis-7... Base model:quantized:animesh00... Bitsandbytes Conversational En Endpoints compatible Instruct Lora Mistral Quantized Region:us Safetensors Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Animesh001/mistral-7b-instruct-4bit

Mistral 7B Instruct 4bit Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, mistral, trl

Training Details

Methodology:

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Mistral 7B Instruct 4bit
Repository 🤗	https://huggingface.co/Animesh001/mistral-7b-instruct-4bit
Base Model(s)	Animesh001/un-mis-7b-instruct Animesh001/un-mis-7b-instruct
Model Size	7b
Required VRAM	0.2 GB
Updated	2026-09-08
Maintainer	Animesh001
Instruction-Based	Yes
Model Files	0.2 GB 4.1 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	AutoModelForCausalLM
License	apache-2.0
Model Max Length	32768
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|o_proj\|gate_proj\|down_proj\|up_proj\|k_proj\|q_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Mistral 7B Instruct 4bit 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 Instruct 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B Instruct V0.3	32K / 14.5 GB	91	6
Mistral 7B Instruct V0.3	32K / 14.5 GB	1122	3
...ralai Mistral 7B Instruct V0.3	32K / 14.5 GB	6	3
Mistral 7B Instruct V0.3	32K / 14.5 GB	6	0
Full V4 Astromistral Final	32K / 4.5 GB	6	1
Zyr3 V1	0K / 0.1 GB	206	1
Dekillnovelist V2	0K / 0.2 GB	203	0
Mistral 7B Manumit V1	0K / 14.5 GB	130	0
Mistral 7B Instruct Uz	0K / 14.5 GB	59	15
Qwen Medical 7B	0K / 15.4 GB	24	0

Note: green Score (e.g. "73.2") means that the model is better than Animesh001/mistral-7b-instruct-4bit.