What are the hardware requirements for Mistral Llm V4?

Mistral Llm V4 requires approximately 14.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Llm V4 and how large is it?

Mistral Llm V4 is developed by Bharat05092003, 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 Llm V4?

Mistral Llm V4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Llm V4 by Bharat05092003 — VRAM 14.4GB

Name: Mistral Llm V4
Author: Bharat05092003

Mistral Llm V4 is an open-source language model by Bharat05092003. Features: 7b LLM, VRAM: 14.4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

4bit Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-... En Endpoints compatible Gguf Lora Mistral Pytorch Quantized Region:us Safetensors Sft Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Bharat05092003/mistral_llm_v4

Mistral Llm V4 Parameters and Internals

Model Type

text-generation-inference

Additional Notes

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

LLM Name	Mistral Llm V4
Repository 🤗	https://huggingface.co/Bharat05092003/mistral_llm_v4
Base Model(s)	Mistral 7B Bnb 4bit unsloth/mistral-7b-bnb-4bit
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-09-10
Maintainer	Bharat05092003
Model Files	0.2 GB 4.4 GB 4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	4bit\|gguf
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	gate_proj\|up_proj\|o_proj\|v_proj\|k_proj\|q_proj\|down_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Mistral Llm V4 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 Llm V4

Best Alternatives	Context / RAM	Downloads	Likes
ShoriRP V0.75d	0K / 0.2 GB	52	33
...wen Math 7b 24 1 100 1 Nonmath	0K / 15.2 GB	50	0
ReWiz 7B	0K / 14.5 GB	252	0
CleverBoi 7B V3	0K / 0.2 GB	193	0
Mistral 7B V0.1 Hitl	0K / 14.4 GB	14	0
...rendyol 7B Base V1 MtLoRA Entr	0K / 14.6 GB	25	0
Gemma 7B English To Hinglish	0K / 17.1 GB	35	0
...rix Philosophy Mistral 7B LoRA	0K / 14.4 GB	480	8
Gumzo Llama 00	0K / 0.3 GB	17	0
Legal Summarizer	0K / 14.4 GB	52	0

Note: green Score (e.g. "73.2") means that the model is better than Bharat05092003/mistral_llm_v4.