What are the hardware requirements for Mistral Ielts Evaluation Base?

Mistral Ielts Evaluation Base 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 Ielts Evaluation Base and how large is it?

Mistral Ielts Evaluation Base is developed by chillies, 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 Ielts Evaluation Base?

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

Mistral Ielts Evaluation Base by chillies — VRAM 0.2GB

Name: Mistral Ielts Evaluation Base
Author: chillies

Mistral Ielts Evaluation Base is an open-source language model by chillies. Features: 7b LLM, VRAM: 0.2GB, Quantized, LLM Explorer Score: 0.11.

Arxiv:1910.09700 4bit Adapter Base model:adapter:unsloth/mis... Base model:unsloth/mistral-7b-... Finetuned Lora Peft Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/chillies/Mistral_ielts_evaluation_base

Mistral Ielts Evaluation Base Parameters and Internals

LLM Name	Mistral Ielts Evaluation Base
Repository 🤗	https://huggingface.co/chillies/Mistral_ielts_evaluation_base
Base Model(s)	Mistral 7B Bnb 4bit unsloth/mistral-7b-bnb-4bit
Model Size	7b
Required VRAM	0.2 GB
Updated	2026-07-29
Maintainer	chillies
Model Files	0.2 GB
Quantization Type	4bit
Model Architecture	Adapter
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	up_proj\|v_proj\|q_proj\|down_proj\|k_proj\|gate_proj\|o_proj
LoRA Alpha	32
LoRA Dropout	0
R Param	16

Rank the Mistral Ielts Evaluation Base 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

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Gemma7b SFT	0K / 0 GB	19	0
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Synthetic Soul 1k Mistral 128	0K / 1.3 GB	8	0

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