What are the hardware requirements for G8 Mistral7b Qlora 1211 V09feb?

G8 Mistral7b Qlora 1211 V09feb requires approximately 14.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed G8 Mistral7b Qlora 1211 V09feb and how large is it?

G8 Mistral7b Qlora 1211 V09feb is developed by jeevana, a model with 7.2b 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 G8 Mistral7b Qlora 1211 V09feb?

G8 Mistral7b Qlora 1211 V09feb is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

G8 Mistral7b Qlora 1211 V09feb by jeevana — VRAM 14.4GB

Name: G8 Mistral7b Qlora 1211 V09feb
Author: jeevana

G8 Mistral7b Qlora 1211 V09feb is an open-source language model by jeevana. Features: 7.2b LLM, VRAM: 14.4GB, LLM Explorer Score: 0.11.

Arxiv:1910.09700 Endpoints compatible Lora Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jeevana/G8_mistral7b_qlora_1211_v09feb

G8 Mistral7b Qlora 1211 V09feb Parameters and Internals

LLM Name	G8 Mistral7b Qlora 1211 V09feb
Repository 🤗	https://huggingface.co/jeevana/G8_mistral7b_qlora_1211_v09feb
Model Size	7.2b
Required VRAM	14.4 GB
Updated	2026-08-01
Maintainer	jeevana
Model Files	0.2 GB 4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Model Architecture	AutoModelForCausalLM
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|k_proj\|o_proj\|q_proj
LoRA Alpha	16
LoRA Dropout	0.1
R Param	64

Rank the G8 Mistral7b Qlora 1211 V09feb 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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Zephyr Tuning V1	0K / 14.4 GB	1747	0
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Last Model Too Long Time	0K / 14.4 GB	8	1
Big Fut Final	0K / 14.4 GB	8	1
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Tweet Sentiment Analyzer	0K / 7.7 GB	5	0
MistralRAG	0K / 14.4 GB	3	1
GAMA Code Generator V1.0	0K / 14.4 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than jeevana/G8_mistral7b_qlora_1211_v09feb.