What are the hardware requirements for Poetes Mistral 7B Lora?

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

Who developed Poetes Mistral 7B Lora and how large is it?

Poetes Mistral 7B Lora is developed by armistice-ml, 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 Poetes Mistral 7B Lora?

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

Poetes Mistral 7B Lora by armistice-ml — VRAM 0.2GB

Name: Poetes Mistral 7B Lora
Author: armistice-ml

Poetes Mistral 7B Lora is an open-source language model by armistice-ml. Features: 7b LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.28.

4bit Base model:adapter:unsloth/mis... Base model:unsloth/mistral-7b-... Conversational Fr French Instruct Lora Mistral Peft Poetry Qlora Quantized Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/armistice-ml/poetes-mistral-7b-lora

Poetes Mistral 7B Lora Parameters and Internals

LLM Name	Poetes Mistral 7B Lora
Repository 🤗	https://huggingface.co/armistice-ml/poetes-mistral-7b-lora
Base Model(s)	unsloth/mistral-7b-instruct-v0.3-bnb-4bit unsloth/mistral-7b-instruct-v0.3-bnb-4bit
Model Size	7b
Required VRAM	0.2 GB
Updated	2026-10-26
Maintainer	armistice-ml
Instruction-Based	Yes
Model Files	0.2 GB
Supported Languages	fr
Quantization Type	4bit
Model Architecture	AutoModel
License	apache-2.0
Model Max Length	32768
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	[control_768]
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|k_proj\|up_proj\|q_proj\|o_proj\|gate_proj\|v_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Poetes Mistral 7B Lora capabilities

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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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